+++ Changes +++
+ duobinary_target now supports memoryless decoding (FFE targets DB response without MLSE) + PAMmapper.quantize now supports custom constellations for quantization + Added a new folder 'Documentations' for pdfs, slides, etc. + Added new FSO evaluation scripts in projects/FSO transmission/Evaluation Scripts + Added ffe_db (rudimentary module, not important anymore)
This commit is contained in:
magf
@@ -927,7 +927,7 @@ classdef Signal
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options.displayname = "";
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end
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mode = 1;
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mode = 2;
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histpoints = 2048; %% verticale resolution
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histpoints = floor(histpoints/2)*2+1; %% to have the eye digram centered around one point make the vertical resolution uneven
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@@ -462,10 +462,19 @@ classdef PAMmapper
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end
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function [Signal_out] = quantize(obj,Signal_in)
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function [Signal_out] = quantize(obj,Signal_in,options)
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arguments
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obj
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Signal_in Signal
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options.custom_const = [];
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end
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if isempty(options.custom_const)
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constellation = obj.get_levels();
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constellation = constellation ./ obj.scaling;
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else
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constellation = options.custom_const;
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end
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issignalclass = 0;
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if isa(Signal_in,'Signal')
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82
Classes/03_electrical/CTLE.m
Normal file
82
Classes/03_electrical/CTLE.m
Normal file
@@ -0,0 +1,82 @@
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classdef CTLE < handle
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properties(Access=public)
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Aac_dB
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Adc_dB
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f_p1
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f_p2
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plot
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end
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methods(Access=public)
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function obj = CTLE(options)
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arguments
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options.Aac_dB = 0;
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options.Adc_dB = -6;
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options.f_p1 = 1.5e9;
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options.f_p2 = 5e9;
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options.plot = 0;
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end
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fn = fieldnames(options);
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for n = 1:numel(fn)
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obj.(fn{n}) = options.(fn{n});
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end
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end
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function data_out = process(obj, data_in)
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x = data_in.signal(:);
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Fs = data_in.fs;
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N = length(x);
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% CTLE Transfer Function Parameters
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A_ac = 10^(obj.Aac_dB/20);
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A_dc = 10^(obj.Adc_dB/20);
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w1 = 2*pi*obj.f_p1;
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w2 = 2*pi*obj.f_p2;
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% Frequency Domain Conversion
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X = fft(x);
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% Generating Frequency Axis In The Range Of [-Fs/2,Fs/2]
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f_fft = (0:N-1).' * (Fs/N);
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f_signed = f_fft;
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idxNeg = f_signed > Fs/2;
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f_signed(idxNeg) = f_signed(idxNeg) - Fs;
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f_pos = abs(f_signed);
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w_pos = 2*pi*f_pos;
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s_pos = 1j*w_pos;
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% Calculate CTLE Transfer Function
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H_pos = A_ac*w2 .* (s_pos + (A_dc/A_ac)*w1) ./ ((s_pos + w1).*(s_pos + w2));
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% Enforce H(-f) = conj(H(f)) For Negative Bins
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H = H_pos;
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H(idxNeg) = conj(H_pos(idxNeg));
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% Apply CTLE
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Y = H .* X;
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% Calculate Time Domain Signal
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y = ifft(Y, 'symmetric');
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data_out = data_in;
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data_out.signal = y;
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data_out.fs = Fs;
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% Plot
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if obj.plot
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% plot only positive frequencies up to Fs/2
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k = 1:floor(N/2)+1;
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fplot = f_fft(k);
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Hplot = H(k);
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figure;
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semilogx(fplot, 20*log10(abs(Hplot)+1e-15));
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grid on; xlabel('frequency (Hz)'); ylabel('magnitude (dB)');
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title('CTLE magnitude on FFT grid');
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end
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end
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end
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end
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130
Classes/03_electrical/Electrical_Hybrid.m
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130
Classes/03_electrical/Electrical_Hybrid.m
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@@ -0,0 +1,130 @@
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classdef Electrical_Hybrid < handle
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properties(Access=public)
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file_path
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plot = 0
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% If true: perform digital residual-echo cancellation using known TX
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cancel_echo = 1
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% If true: in addition return v_hyb and v_echo_est
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return_intermediates = 1
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end
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methods(Access=public)
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function obj = Electrical_Hybrid(options)
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arguments
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options.file_path = ''
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options.plot = 0
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options.cancel_echo = 1
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options.return_intermediates = 1
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end
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fn = fieldnames(options);
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for n = 1:numel(fn)
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obj.(fn{n}) = options.(fn{n});
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end
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end
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function [v_fe_rec, v_hyb, v_echo_est] = process(obj, v_ne_tx, v_fe_tx)
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% v_ne_tx : Near-End TX signal object (Port 1)
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% v_fe_tx : Far-End TX signal object (Port 2)
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%
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% Output:
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% v_hyb : physical hybrid differential output (Port4 - Port3)
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% v_echo_est : estimated residual echo due to local TX only
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% v_fe_rec : v_hyb - v_echo_est (if cancel_echo enabled), else v_hyb
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% --- Load S-Parameters (.s4p) ---
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net = sparameters(obj.file_path);
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f_s = net.Frequencies(:);
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S4 = net.Parameters;
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% Extract needed S-parameters for differential output:
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% V3 = S31*V1 + S32*V2
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% V4 = S41*V1 + S42*V2
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% Vhyb = V4 - V3 = (S41-S31)*V1 + (S42-S32)*V2
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S31_s = squeeze(S4(3,1,:));
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S41_s = squeeze(S4(4,1,:));
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S32_s = squeeze(S4(3,2,:));
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S42_s = squeeze(S4(4,2,:));
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% --- Time-domain signals ---
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x1 = v_ne_tx.signal(:);
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x2 = v_fe_tx.signal(:);
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if length(x2) ~= length(x1)
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error('Near-end and far-end signals must have the same length.');
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end
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N = length(x1);
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Fs = v_ne_tx.fs;
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% --- Use zero padding to avoid circular convolution artifacts ---
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Nfft = 2^nextpow2(2*N); % robust choice
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% --- FFT ---
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V1 = fft(x1, Nfft);
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V2 = fft(x2, Nfft);
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% --- Frequency axis for interpolation (signed then abs) ---
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f_fft = (0:Nfft-1).' * (Fs/Nfft);
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f_signed = f_fft;
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idxNeg = f_signed > Fs/2;
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f_signed(idxNeg) = f_signed(idxNeg) - Fs; % (-Fs/2, Fs/2]
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f_pos = abs(f_signed);
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% --- Interpolate S-parameters onto f_pos ---
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S31 = interp1(f_s, S31_s, f_pos, 'linear', 'extrap');
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S41 = interp1(f_s, S41_s, f_pos, 'linear', 'extrap');
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S32 = interp1(f_s, S32_s, f_pos, 'linear', 'extrap');
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S42 = interp1(f_s, S42_s, f_pos, 'linear', 'extrap');
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% Hermitian symmetry for real time-domain response:
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% For negative frequencies enforce conj symmetry.
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S31(idxNeg) = conj(S31(idxNeg));
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S41(idxNeg) = conj(S41(idxNeg));
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S32(idxNeg) = conj(S32(idxNeg));
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S42(idxNeg) = conj(S42(idxNeg));
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% --- Physical hybrid differential output ---
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% Vhyb = (S41-S31)*V1 + (S42-S32)*V2
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He = (S41 - S31); % residual echo transfer from local TX
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Hr = (S42 - S32); % transfer from far-end TX to output
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V_hyb = He .* V1 + Hr .* V2;
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% --- Residual echo estimate (digital canceller model) ---
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V_echo = He .* V1;
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% --- Back to time-domain (take first N samples after padding) ---
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v_hyb_full = ifft(V_hyb, 'symmetric');
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v_echo_full = ifft(V_echo, 'symmetric');
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v_hyb = v_hyb_full(1:N);
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v_echo_est = v_echo_full(1:N);
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% --- Optional cancellation ---
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if obj.cancel_echo
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v_fe_rec = v_hyb - v_echo_est;
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else
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v_fe_rec = v_hyb;
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end
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if ~obj.return_intermediates
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v_hyb = [];
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v_echo_est = [];
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end
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% --- Bring output in the correct form ---
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v_fe_rec = Informationsignal(v_fe_rec,"fs",v_fe_tx.fs);
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v_hyb = Informationsignal(v_hyb,"fs",v_fe_tx.fs);
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v_echo_est = Informationsignal(v_echo_est,"fs",v_fe_tx.fs);
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if obj.plot
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rfplot(net)
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end
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end
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end
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end
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31
Classes/03_electrical/Electrical_Trace.m
Normal file
31
Classes/03_electrical/Electrical_Trace.m
Normal file
@@ -0,0 +1,31 @@
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classdef Electrical_Trace < handle
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properties(Access=public)
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file_path
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end
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methods(Access=public)
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function obj = Electrical_Trace(options)
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arguments(Input)
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options.file_path = 'C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\COM Test\Mellitzz\TA_6002_6003_FX_B6_C6_B7_C7_Terminated.s4p'
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end
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fn = fieldnames(options);
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for n = 1:numel(fn)
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obj.(fn{n}) = options.(fn{n});
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end
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end
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function [data_out,timing_error] = process(obj, data_in)
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S =
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end
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end
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end
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114
Classes/03_electrical/Electrical_Trace_BiDi.m
Normal file
114
Classes/03_electrical/Electrical_Trace_BiDi.m
Normal file
@@ -0,0 +1,114 @@
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classdef Electrical_Trace_BiDi < handle
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properties(Access=public)
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file_path
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fsym
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rolloff
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K_over
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plot
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test
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S_test
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end
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methods(Access=public)
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function obj = Electrical_Trace_BiDi(options)
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arguments(Input)
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options.file_path = 'C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\COM Test\Mellitzz\TA_6002_6003_FX_B6_C6_B7_C7_Terminated.s4p'
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options.fsym = 0;
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options.rolloff = 0;
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options.K_over = 1;
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options.plot = 0;
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options.test = 0;
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options.S_test = [0,1;1,0];
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end
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fn = fieldnames(options);
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for n = 1:numel(fn)
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obj.(fn{n}) = options.(fn{n});
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end
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end
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function [b_1,b_2] = process(obj, a_1, a_2)
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% Rx Signal Calculation Using S-Paramters For a 2-Port Network
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% [B_1(f); B_2(f)] = [S_11(f), S_12(f); S_21(f), S_22(f)] * [A_1(f); A_2(f)]
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% Initialize Rx Time Domain Signals
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b_1 = a_2;
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b_2 = a_1;
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% Loading and Extract S-Paramters
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net = sparameters(obj.file_path);
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f_s = net.Frequencies(:);
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if ~obj.test
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S2 = net.Parameters(1:2, 1:2, :);
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else
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S2 = repmat(obj.S_test,1,1,size(f_s,1));
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end
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S11_s = squeeze(S2(1,1,:));
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S12_s = squeeze(S2(1,2,:));
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S21_s = squeeze(S2(2,1,:));
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S22_s = squeeze(S2(2,2,:));
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% Setup Time Domain Signals
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x1 = a_1.signal(:);
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x2 = a_2.signal(:);
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N = length(x1);
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assert(length(x2)==N, 'a_1 and a_2 must have same length');
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% Extract Time Domain Signal Frequencies
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if obj.fsym == 0 && obj.rolloff == 0 && obj.K_over == 1
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Fs = a_1.fs;
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else
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Fs = (1+obj.rolloff)*obj.fsym;
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end
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% Calculate Frequency Domain Signals
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A1 = fft(x1);
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A2 = fft(x2);
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% Calculate Frequency Axis [-Fs/2,...,Fs/2]
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f_fft = (0:N-1).' * (Fs/N);
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f_signed = f_fft;
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idxNeg = f_signed > Fs/2;
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f_signed(idxNeg) = f_signed(idxNeg) - Fs; % Now in (-Fs/2, Fs/2]
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% Absolute Value Used for Interpolation
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f_pos = abs(f_signed);
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% Interpolate S-Parameters onto f_pos
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S11_p = interp1(f_s, S11_s, f_pos, 'linear', 'extrap');
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S12_p = interp1(f_s, S12_s, f_pos, 'linear', 'extrap');
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S21_p = interp1(f_s, S21_s, f_pos, 'linear', 'extrap');
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S22_p = interp1(f_s, S22_s, f_pos, 'linear', 'extrap');
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% Apply Hermitian Symmetry: S(-f) = conj(S(f))
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S11 = S11_p; S12 = S12_p; S21 = S21_p; S22 = S22_p;
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S11(idxNeg) = conj(S11_p(idxNeg));
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S12(idxNeg) = conj(S12_p(idxNeg));
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S21(idxNeg) = conj(S21_p(idxNeg));
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S22(idxNeg) = conj(S22_p(idxNeg));
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% Compute Rx Frequency Domain Signals
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B1 = S11 .* A1 + S12 .* A2;
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B2 = S21 .* A1 + S22 .* A2;
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% Calculate Rx Time Domain Signals
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b_1.signal = ifft(B1, 'symmetric');
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b_2.signal = ifft(B2, 'symmetric');
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if obj.plot
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rfplot(net)
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end
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|
||||
|
||||
end
|
||||
end
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end
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@@ -480,7 +480,7 @@ classdef EQ < handle
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output_vec_weighted(m) = xbar;
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fb_sym = xbar;
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output_vec(m) = xbar;
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% output_vec(m) = xbar;
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end
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|
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if obj.Nb(1) > 0
|
||||
|
||||
@@ -103,6 +103,7 @@ classdef MaxVar_Timing_Recovery < handle
|
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% y = [y 0];
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% end
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||||
data_out.signal = y.';
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data_out.fs = obj.fsym;
|
||||
end
|
||||
|
||||
|
||||
|
||||
8
Datatypes/db_decoder.m
Normal file
8
Datatypes/db_decoder.m
Normal file
@@ -0,0 +1,8 @@
|
||||
classdef db_decoder < int32
|
||||
|
||||
enumeration
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||||
sequencedetection (0) % use MLSE for decoding
|
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memoryless (1) % use modulo
|
||||
end
|
||||
|
||||
end
|
||||
BIN
Documentations/Demystifying Duobinary.pdf
Normal file
BIN
Documentations/Demystifying Duobinary.pdf
Normal file
Binary file not shown.
@@ -11,8 +11,10 @@ arguments
|
||||
options.showAnalysis = 0;
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options.eth_style_symbol_mapping = 0;
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options.postFFE = [];
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options.decoding_mode db_decoder = db_decoder.sequencedetection;
|
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end
|
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|
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%Duobinary Targeting
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db_ref_sequence = Duobinary().encode(tx_symbols);
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db_ref_constellation = unique(db_ref_sequence.signal);
|
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@@ -21,17 +23,25 @@ db_ref_constellation = unique(db_ref_sequence.signal);
|
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if ~isempty(options.postFFE)
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[eq_signal,eq_noise] = options.postFFE.process(eq_signal,db_ref_sequence);
|
||||
end
|
||||
|
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mlse_.DIR = [1,1];
|
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%
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||||
|
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switch options.decoding_mode
|
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case db_decoder.sequencedetection %MLSE
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mlse_.DIR = [1,1];
|
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if isa(mlse_,'MLSE_viterbi')
|
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mlse_sig_sd = mlse_.process(eq_signal);
|
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else
|
||||
[mlse_sig_sd,LLR,GMI_MLSE] = mlse_.process(eq_signal,tx_symbols);
|
||||
end
|
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|
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mlse_sig_hd = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).quantize(mlse_sig_sd);
|
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pam_sig_hd = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).quantize(mlse_sig_sd);
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case db_decoder.memoryless %DB Target FFE
|
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% Hard decision on FFE output
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||||
eq_signal_hd = PAMmapper(M, 0).quantize(eq_signal,'custom_const',db_ref_constellation.');
|
||||
eq_signal_hd = Duobinary().decode(eq_signal_hd);
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pam_sig_hd = eq_signal_hd;
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||||
% tx_symbols = Duobinary().encode(tx_symbols);
|
||||
% tx_symbols = Duobinary().decode(tx_symbols.*db_const_scale_factor);
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||||
end
|
||||
|
||||
% precoding to mitigate error propagation, most prominently used in
|
||||
% combination with duobinary signaling to avoid catastrophic error
|
||||
@@ -42,8 +52,15 @@ switch options.precode_mode
|
||||
% TX Data is not precoded:
|
||||
|
||||
% A) Emulate diff precoding
|
||||
mlse_sig_hd_precoded = Duobinary().encode(mlse_sig_hd,"M",M);
|
||||
mlse_sig_hd_precoded = Duobinary().decode(mlse_sig_hd_precoded,"M",M);
|
||||
switch options.decoding_mode
|
||||
case db_decoder.sequencedetection %MLSE
|
||||
mlse_sig_hd_precoded = Duobinary().encode(pam_sig_hd);
|
||||
mlse_sig_hd_precoded = Duobinary().decode(mlse_sig_hd_precoded);
|
||||
case db_decoder.memoryless %DB Target FFE
|
||||
% mlse_sig_hd_precoded = Duobinary().encode(pam_sig_hd);
|
||||
% mlse_sig_hd_precoded = Duobinary().decode(mlse_sig_hd_precoded);
|
||||
mlse_sig_hd_precoded = pam_sig_hd;
|
||||
end
|
||||
|
||||
tx_symbols_precoded = Duobinary().encode(tx_symbols);
|
||||
tx_symbols_precoded = Duobinary().decode(tx_symbols_precoded);
|
||||
@@ -54,7 +71,8 @@ switch options.precode_mode
|
||||
[~,errors_db_diff_precoded,ber_db_diff_precoded,~] = calc_ber(rx_bits_mlse.signal,tx_bits_precoded.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
|
||||
|
||||
%B) Just determine BER
|
||||
rx_bits_mlse = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).demap(mlse_sig_hd);
|
||||
rx_bits_mlse = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).demap(pam_sig_hd);
|
||||
tx_bits = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).demap(tx_symbols);
|
||||
[bits_mlse,errors_mlse,ber_db,~] = calc_ber(rx_bits_mlse.signal,tx_bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
|
||||
|
||||
case db_mode.db_precoded
|
||||
@@ -62,15 +80,26 @@ switch options.precode_mode
|
||||
% Daten SIND TATSÄCHLICH precoded auf TX Seite:
|
||||
|
||||
% A) Decode at Rx if no DB targeting was applied (we are in VNLE or MLSE EQ structure here!
|
||||
mlse_sig_hd_decoded = Duobinary().encode(mlse_sig_hd,"M",M);
|
||||
switch options.decoding_mode
|
||||
case db_decoder.sequencedetection %MLSE
|
||||
mlse_sig_hd_decoded = Duobinary().encode(pam_sig_hd,"M",M);
|
||||
mlse_sig_hd_decoded = Duobinary().decode(mlse_sig_hd_decoded,"M",M);
|
||||
case db_decoder.memoryless %DB Target FFE
|
||||
mlse_sig_hd_decoded = pam_sig_hd;
|
||||
end
|
||||
|
||||
tx_symbols_precoded = Duobinary().encode(tx_symbols,"M",M);
|
||||
tx_symbols_precoded = Duobinary().decode(tx_symbols_precoded,"M",M);
|
||||
|
||||
tx_bits_precoded = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).demap(tx_symbols_precoded);
|
||||
rx_bits_mlse_decoded = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).demap(mlse_sig_hd_decoded);
|
||||
[~,errors_db_diff_precoded,ber_db_diff_precoded,a] = calc_ber(rx_bits_mlse_decoded.signal,tx_bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
|
||||
|
||||
[~,errors_db_diff_precoded,ber_db_diff_precoded,a] = calc_ber(rx_bits_mlse_decoded.signal,tx_bits_precoded.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
|
||||
burst_db_precoded = count_error_bursts(a, 40);
|
||||
% B) Omit the Coding by comparing with demapped TX symbol sequence
|
||||
|
||||
tx_bits = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).demap(tx_symbols);
|
||||
rx_bits_mlse = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).demap(mlse_sig_hd);
|
||||
rx_bits_mlse = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).demap(pam_sig_hd);
|
||||
[bits_db,errors_db,ber_db,a] = calc_ber(rx_bits_mlse.signal,tx_bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
|
||||
burst_db = count_error_bursts(a, 40);
|
||||
|
||||
@@ -84,16 +113,15 @@ switch options.precode_mode
|
||||
end
|
||||
|
||||
% M = numel(unique(tx_symbols.signal));
|
||||
rx_bits = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).demap(mlse_sig_hd);
|
||||
rx_bits = PAMmapper(M,0,"eth_style",options.eth_style_symbol_mapping).demap(pam_sig_hd);
|
||||
|
||||
[bits_db,errors_db,ber_db,errorIndice_db] = calc_ber(rx_bits.signal,tx_bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
alpha = arburg(eq_noise.signal,1);%pf_.coefficients(2);
|
||||
alpha = alpha(2);
|
||||
|
||||
switch options.decoding_mode
|
||||
case db_decoder.sequencedetection %MLSE
|
||||
if isa(mlse_,'MLSE_viterbi')
|
||||
gmi_mlse = NaN;
|
||||
air_mlse = NaN;
|
||||
@@ -101,6 +129,12 @@ else
|
||||
gmi_mlse = GMI_MLSE;
|
||||
air_mlse = tx_symbols.fs .* floor(log2(double(M))*10)/10 .* gmi_mlse ./ log2(double(M));
|
||||
end
|
||||
case db_decoder.memoryless %DB Target FFE
|
||||
% [gmi] = calc_air(eq_signal_sd, tx_symbols, "skip_front", 10000, "skip_end", 10000);
|
||||
[gmi] = calc_ngmi(eq_signal,tx_symbols);
|
||||
gmi_mlse = max(gmi,0);
|
||||
air_mlse = tx_symbols.fs .* floor(log2(double(M))*10)/10 .* gmi ./ log2(double(M));
|
||||
end
|
||||
|
||||
db_results = struct();
|
||||
db_results.metrics = Metricstruct;
|
||||
|
||||
211
Functions/EQ_structures/ffe_db.m
Normal file
211
Functions/EQ_structures/ffe_db.m
Normal file
@@ -0,0 +1,211 @@
|
||||
function [ffe_results] = ffe_db(eq_, M, rx_signal, tx_symbols, tx_bits, options)
|
||||
% FFE Processes signals through FFE equalizer
|
||||
%
|
||||
% Inputs:
|
||||
% eq_ - Equalizer object
|
||||
% M - Modulation order
|
||||
% rx_signal - Received signal
|
||||
% tx_symbols - Transmitted symbols
|
||||
% tx_bits - Transmitted bits
|
||||
% options - Optional parameters
|
||||
%
|
||||
% Outputs:
|
||||
% ffe_results - Results from FFE processing
|
||||
|
||||
arguments
|
||||
eq_
|
||||
M
|
||||
rx_signal
|
||||
tx_symbols
|
||||
tx_bits
|
||||
options.db_target = 0;
|
||||
options.precode_mode db_mode
|
||||
options.showAnalysis = 0;
|
||||
options.eth_style_symbol_mapping = 0;
|
||||
options.postFFE = [];
|
||||
options.database = [];
|
||||
end
|
||||
|
||||
%% Process signals through equalizer
|
||||
% FFE or VNLE
|
||||
if options.db_target
|
||||
tx_symbols_ref = Duobinary().encode(tx_symbols);
|
||||
db_ref_constellation = unique(tx_symbols_ref.signal);
|
||||
[eq_signal_sd, eq_noise] = eq_.process(rx_signal, tx_symbols_ref);
|
||||
else
|
||||
[eq_signal_sd, eq_noise] = eq_.process(rx_signal, tx_symbols);
|
||||
end
|
||||
|
||||
% Apply post-FFE if provided
|
||||
if ~isempty(options.postFFE)
|
||||
tic
|
||||
[eq_signal_sd, eq_noise] = options.postFFE.process(eq_signal_sd, tx_symbols);
|
||||
toc
|
||||
end
|
||||
|
||||
try
|
||||
ch_coefficients = arburg(eq_noise.signal,1);
|
||||
channel_alpha = ch_coefficients(2);
|
||||
end
|
||||
|
||||
% Hard decision on FFE output
|
||||
if options.db_target
|
||||
eq_signal_hd = PAMmapper(M, 0).quantize(eq_signal_sd,'custom_const',db_ref_constellation.');
|
||||
else
|
||||
eq_signal_hd = PAMmapper(M, 0).quantize(eq_signal_sd);
|
||||
end
|
||||
|
||||
if options.db_target
|
||||
eq_signal_hd = Duobinary().decode(eq_signal_hd);
|
||||
tx_symbols = Duobinary().encode(tx_symbols);
|
||||
tx_symbols = Duobinary().decode(tx_symbols);
|
||||
end
|
||||
|
||||
%% Calculate BER based on precoding mode
|
||||
[bits, errors, ber, error_pos, errors_precoded, ber_precoded] = calculateBER(eq_signal_hd, tx_symbols, tx_bits, options.precode_mode, M, options.eth_style_symbol_mapping);
|
||||
|
||||
%% Calculate performance metrics
|
||||
[snr, snr_lvl] = calc_snr(tx_symbols.signal, eq_noise.signal);
|
||||
% [gmi] = calc_air(eq_signal_sd, tx_symbols, "skip_front", 10000, "skip_end", 10000);
|
||||
[gmi] = calc_ngmi(eq_signal_sd,tx_symbols);
|
||||
gmi = max(gmi,0);
|
||||
|
||||
air = tx_symbols.fs .* floor(log2(double(M))*10)/10 .* gmi ./ log2(double(M));
|
||||
[evm_total, evm_lvl] = calc_evm(eq_signal_sd, tx_symbols);
|
||||
[std_total, std_lvl] = calc_std(eq_signal_sd, tx_symbols);
|
||||
[std_rxraw_total, std_rxraw_lvl] = calc_std(rx_signal.resample("fs_out", tx_symbols.fs), tx_symbols);
|
||||
|
||||
%% Display analysis if requested
|
||||
if options.showAnalysis
|
||||
displayAnalysis(eq_noise, eq_signal_sd, rx_signal, eq_, tx_symbols, M, options.postFFE);
|
||||
end
|
||||
|
||||
|
||||
%% Prepare output structure
|
||||
% Determine postFFE order
|
||||
if ~isempty(options.postFFE)
|
||||
npostFFE = options.postFFE.order;
|
||||
else
|
||||
npostFFE = 0;
|
||||
end
|
||||
|
||||
% Create FFE results structure
|
||||
ffe_results = struct();
|
||||
try
|
||||
eq_.e = [];
|
||||
eq_.e2 = [];
|
||||
eq_.e3 = [];
|
||||
eq_.b = [];
|
||||
eq_.b2 = [];
|
||||
eq_.b3 = [];
|
||||
end
|
||||
|
||||
ffe_results.config = Equalizerstruct();
|
||||
ffe_results.config.eq = jsonencode(eq_);
|
||||
ffe_results.config.equalizer_structure = int32(equalizer_structure.ffe);
|
||||
ffe_results.config.comment = 'function: ffe';
|
||||
|
||||
ffe_results.metrics = Metricstruct;
|
||||
ffe_results.metrics.result_id = NaN;
|
||||
ffe_results.metrics.run_id = NaN;
|
||||
ffe_results.metrics.eqParam_id = NaN;
|
||||
ffe_results.metrics.date_of_processing = datetime('now');
|
||||
ffe_results.metrics.BER = ber;
|
||||
ffe_results.metrics.numBits = bits;
|
||||
ffe_results.metrics.numBitErr = errors;
|
||||
ffe_results.metrics.BER_precoded = ber_precoded;
|
||||
ffe_results.metrics.numBitErr_precoded = errors_precoded;
|
||||
ffe_results.metrics.SNR = snr;
|
||||
ffe_results.metrics.SNR_level = snr_lvl;
|
||||
ffe_results.metrics.STD = std_total;
|
||||
ffe_results.metrics.STD_level = std_lvl;
|
||||
ffe_results.metrics.STDrx = std_rxraw_total;
|
||||
ffe_results.metrics.STDrx_level = std_rxraw_lvl;
|
||||
ffe_results.metrics.GMI = gmi;
|
||||
ffe_results.metrics.AIR = air;
|
||||
ffe_results.metrics.EVM = evm_total;
|
||||
ffe_results.metrics.EVM_level = evm_lvl;
|
||||
ffe_results.metrics.Alpha = channel_alpha;
|
||||
|
||||
|
||||
end
|
||||
|
||||
%% Helper Functions
|
||||
function [bits, errors, ber, error_pos, errors_precoded, ber_precoded] = calculateBER(eq_signal_hd, tx_symbols, tx_bits, precode_mode, M, eth_style)
|
||||
% Calculate BER based on precoding mode
|
||||
mapper = PAMmapper(M, 0, "eth_style", eth_style);
|
||||
|
||||
switch precode_mode
|
||||
case db_mode.no_db
|
||||
% TX Data is not precoded
|
||||
% A) Emulate diff precoding
|
||||
eq_signal_hd_precoded = Duobinary().encode(eq_signal_hd, "M", M);
|
||||
eq_signal_hd_precoded = Duobinary().decode(eq_signal_hd_precoded, "M", M);
|
||||
|
||||
tx_symbols_precoded = Duobinary().encode(tx_symbols);
|
||||
tx_symbols_precoded = Duobinary().decode(tx_symbols_precoded);
|
||||
|
||||
tx_bits_precoded = mapper.demap(tx_symbols_precoded);
|
||||
|
||||
rx_bits = mapper.demap(eq_signal_hd_precoded);
|
||||
[~, errors_precoded, ber_precoded, ~] = calc_ber(rx_bits.signal, tx_bits_precoded.signal, "skip_front", 10, "skip_end", 10, "returnErrorLocation", 1);
|
||||
|
||||
% B) Just determine BER
|
||||
rx_bits = mapper.demap(eq_signal_hd);
|
||||
tx_bits = mapper.demap(tx_symbols);
|
||||
[bits, errors, ber, error_pos] = calc_ber(rx_bits.signal, tx_bits.signal, "skip_front", 10, "skip_end", 10, "returnErrorLocation", 1);
|
||||
|
||||
case db_mode.db_precoded
|
||||
% Data is precoded on TX side
|
||||
% A) Decode at Rx if no DB targeting was applied
|
||||
eq_signal_hd_decoded = Duobinary().encode(eq_signal_hd, "M", M);
|
||||
eq_signal_hd_decoded = Duobinary().decode(eq_signal_hd_decoded, "M", M);
|
||||
rx_bits_decoded = mapper.demap(eq_signal_hd_decoded);
|
||||
[~, errors_precoded, ber_precoded, ~] = calc_ber(rx_bits_decoded.signal, tx_bits.signal, "skip_front", 10, "skip_end", 10, "returnErrorLocation", 1);
|
||||
|
||||
% B) Omit the Coding by comparing with demapped TX symbol sequence
|
||||
tx_bits_demapped = mapper.demap(tx_symbols);
|
||||
rx_bits = mapper.demap(eq_signal_hd);
|
||||
[bits, errors, ber, error_pos] = calc_ber(rx_bits.signal, tx_bits_demapped.signal, "skip_front", 10, "skip_end", 10, "returnErrorLocation", 1);
|
||||
end
|
||||
end
|
||||
|
||||
function displayAnalysis(eq_noise, eq_signal_sd, rx_signal, eq_, tx_symbols, M, postFFE)
|
||||
% Display analysis plots and metrics
|
||||
|
||||
% Initialize figure handles
|
||||
% Corrected line - added tx_symbols as second positional argument
|
||||
% showLevelScatter(rx_signal.resample("fs_out", tx_symbols.fs), tx_symbols, "fignum", 100);
|
||||
|
||||
warning off
|
||||
showLevelScatter(eq_signal_sd, tx_symbols, "fignum", 101);
|
||||
figure(gcf);hold on; plot(((1:length(eq_noise.signal)) / eq_noise.fs) * 1e6,movmean(eq_noise.signal,2000,1), 'LineWidth',3,'Color','black')
|
||||
warning on
|
||||
|
||||
showLevelHistogram(eq_signal_sd, tx_symbols, "fignum", 102);
|
||||
|
||||
showEQNoisePSD(eq_noise, "fignum", 103, "displayname", 'Residual Noise after FFE');
|
||||
|
||||
% Figure 2: Post-FFE coefficients (if available)
|
||||
if ~isempty(postFFE)
|
||||
showEQcoefficients('n1', postFFE.e, "displayname", 'Coefficients', 'fignum', 104);
|
||||
end
|
||||
|
||||
try
|
||||
figure(339);hold on
|
||||
showEQfilter(eq_.e, eq_signal_sd.fs.*2,"displayname",'training','fignum',339);
|
||||
% showEQfilter(eq_.e, eq_signal_sd.fs.*2,"displayname",'dec. directed','fignum',339);
|
||||
legend on
|
||||
end
|
||||
|
||||
% try
|
||||
% figure(240); hold on; plot(pow2db(movmean(eq_.debug_struct.error_tr',100)));ylim([-30,3]);title('error training');
|
||||
%
|
||||
% figure(241); hold on; plot(pow2db(movmean(eq_.debug_struct.update_tr',100)));title('update step training');
|
||||
%
|
||||
% figure(242); hold on; plot(pow2db(movmean(eq_.debug_struct.update',1000)));title('update step dd');
|
||||
% end
|
||||
|
||||
eq_signal_sd.eye(eq_signal_sd.fs,M,"displayname",'Eye','fignum',105);
|
||||
|
||||
end
|
||||
195
projects/ASTRO Electrical Link/Electrical_Link_GPT.m
Normal file
195
projects/ASTRO Electrical Link/Electrical_Link_GPT.m
Normal file
@@ -0,0 +1,195 @@
|
||||
%==========================================================================
|
||||
% High-Speed Link Modell (Dispersion + Reflexionen + Crosstalk)
|
||||
% Eigenständiges MATLAB-Skript mit Testsequenz (PRBS), Kanalmodell im f-Bereich
|
||||
% und Auswertung (Eye + Spektren).
|
||||
%
|
||||
% Idee:
|
||||
% - Hauptkanal: H11(f) = exp(-gamma(f)*l)
|
||||
% - Crosstalk: H21(f) = k_xt * j*(f/fc) / (1 + j*(f/fc)) * exp(-gamma_xt(f)*l)
|
||||
% (Highpass-artig: typisches FEXT-ähnliches Verhalten; simpel aber nützlich)
|
||||
% - Reflexionen: optionaler 2-Tap Echo-Term (vereinfachtes Stub/Mismatch-Modell)
|
||||
%
|
||||
% Keine Toolboxes zwingend nötig (außer eye diagram -> optional).
|
||||
%==========================================================================
|
||||
|
||||
clear; close all; clc;
|
||||
|
||||
%% ----------------------- Simulationseinstellungen -----------------------
|
||||
Rb = 10e9; % Bitrate [b/s]
|
||||
UI = 1/Rb; % Unit Interval [s]
|
||||
os = 32; % Oversampling
|
||||
Fs = Rb*os; % Abtastrate [Hz]
|
||||
Ts = 1/Fs;
|
||||
|
||||
Nbits = 4096; % Anzahl Bits pro Lane
|
||||
A = 1.0; % NRZ-Amplitude (0/1 -> +/-A)
|
||||
|
||||
% PRBS-Seed
|
||||
rng(1);
|
||||
|
||||
%% ----------------------- Testsequenzen (Aggressor + Victim) -------------
|
||||
% Victim-Lane Daten
|
||||
b_v = randi([0 1], Nbits, 1);
|
||||
x_v = A*(2*b_v - 1); % NRZ: -A/+A
|
||||
|
||||
% Aggressor-Lane Daten (unabhängig)
|
||||
b_a = randi([0 1], Nbits, 1);
|
||||
x_a = A*(2*b_a - 1);
|
||||
|
||||
% Upsampling (NRZ-Rechteck)
|
||||
x_v_up = upsample(x_v, os);
|
||||
x_a_up = upsample(x_a, os);
|
||||
|
||||
% Simple Zero-Order Hold (rechteckig halten)
|
||||
x_v_up = filter(ones(os,1), 1, x_v_up);
|
||||
x_a_up = filter(ones(os,1), 1, x_a_up);
|
||||
|
||||
% Am Anfang Filter-Transient entfernen / zentrieren
|
||||
x_v_up = x_v_up(os:end);
|
||||
x_a_up = x_a_up(os:end);
|
||||
|
||||
% Signal-Länge
|
||||
N = length(x_v_up);
|
||||
|
||||
% Optional: leichte TX-RiseTime-Abbildung (1st order LP)
|
||||
% (hilft, unrealistische unendliche Bandbreite zu vermeiden)
|
||||
f_tx_3dB = 0.35/(35e-12); % grob: 35ps 10-90% -> f3dB ~ 0.35/tr
|
||||
[x_v_up, x_a_up] = apply_1pole_lp(x_v_up, x_a_up, Fs, f_tx_3dB);
|
||||
|
||||
%% ----------------------- Frequenzachse (FFT) ----------------------------
|
||||
% FFT-Länge als Power-of-two (schneller, weniger Circular-Artefakte)
|
||||
Nfft = 2^nextpow2(N*2);
|
||||
f = (0:Nfft-1).'*Fs/Nfft; % 0 ... Fs*(1-1/Nfft)
|
||||
% Für Transferfunktionen brauchen wir auch negative Frequenzen implizit:
|
||||
% MATLAB-FFT nutzt diese Darstellung automatisch, solange H hermitesch ist.
|
||||
% Wir definieren H für alle FFT-Bins konsistent mit reellen Signalen.
|
||||
|
||||
%% ----------------------- RLGC-Modell (Dispersion & Loss) -----------------
|
||||
% Leitungslänge
|
||||
l = 0.40; % [m]
|
||||
|
||||
% Per-unit-length Parameter (Beispielwerte, grob PCB-ähnlich)
|
||||
L = 3.2e-7; % [H/m]
|
||||
C = 1.6e-10; % [F/m]
|
||||
G0 = 0; % [S/m] (DC)
|
||||
tanD = 0.012; % Verlustfaktor (vereinfachtes Dielektrikum-Modell)
|
||||
% G(f) ~ omega*C*tanD
|
||||
omega = 2*pi*f;
|
||||
G = G0 + omega.*C*tanD;
|
||||
|
||||
% Skin-Effekt / Rauheit: R(f) ~ Rdc + k*sqrt(f)
|
||||
Rdc = 0.05; % [Ohm/m]
|
||||
kR = 0.20; % [Ohm/m/sqrt(Hz)] * sqrt(Hz) -> Ohm/m
|
||||
R = Rdc + kR*sqrt(max(f,1)); % max(..,1) vermeidet sqrt(0)
|
||||
|
||||
% gamma(f) und Z0(f)
|
||||
gamma = sqrt( (R + 1j*omega*L) .* (G + 1j*omega*C) ); % [1/m]
|
||||
Z0 = sqrt( (R + 1j*omega*L) ./ (G + 1j*omega*C) ); % [Ohm]
|
||||
|
||||
% Hauptpfad-Transferfunktion (perfekt terminiert)
|
||||
H11 = exp(-gamma*l);
|
||||
|
||||
%% ----------------------- Crosstalk-Modell (Aggressor -> Victim) ----------
|
||||
% Sehr vereinfachtes FEXT-ähnliches Modell: wächst mit f, sättigt
|
||||
k_xt = 0.04; % Crosstalk-Stärke (skalieren)
|
||||
fc = 8e9; % Eckfrequenz der Koppelcharakteristik
|
||||
|
||||
% optional etwas andere Verluste auf dem Koppelpfad
|
||||
gamma_xt = gamma .* (1.05 + 0.00j);
|
||||
|
||||
Hxt_shape = (1j*(f/fc)) ./ (1 + 1j*(f/fc)); % ~ Highpass
|
||||
H21 = k_xt .* Hxt_shape .* exp(-gamma_xt*l);
|
||||
|
||||
%% ----------------------- Reflexions/Echo-Modell (optional) ---------------
|
||||
% Einfache 2-Tap-Approximation: Hecho = 1 + a*exp(-j*2*pi*f*tau)
|
||||
% (z.B. Stub/Via-Resonanz als Echo)
|
||||
useEcho = true;
|
||||
a_echo = 0.18; % Echo-Amplitude (|a|<1)
|
||||
tau = 120e-12; % Echo-Delay [s]
|
||||
|
||||
if useEcho
|
||||
Hecho = 1 + a_echo*exp(-1j*2*pi*f*tau);
|
||||
H11 = H11 .* Hecho;
|
||||
end
|
||||
|
||||
%% ----------------------- Kanal-Anwendung per FFT -------------------------
|
||||
% Zero-padding auf Nfft
|
||||
Xv = fft(x_v_up, Nfft);
|
||||
Xa = fft(x_a_up, Nfft);
|
||||
|
||||
% Victim-Ausgang = Hauptpfad * Victim + Crosstalkpfad * Aggressor
|
||||
Yv = H11 .* Xv + H21 .* Xa;
|
||||
|
||||
y_v = real(ifft(Yv, Nfft));
|
||||
y_v = y_v(1:N); % zurück auf Originallänge
|
||||
|
||||
%% ----------------------- Auswertung: Eye Diagramm ------------------------
|
||||
% Eye über viele UIs (ohne Toolbox: eigene Darstellung)
|
||||
plot_eye(y_v, os, 2); % 2 UI Breite
|
||||
|
||||
%% ----------------------- Auswertung: Frequenzgänge -----------------------
|
||||
figure('Name','Transferfunktionen');
|
||||
subplot(2,1,1);
|
||||
plot(f/1e9, 20*log10(abs(H11)+1e-15)); grid on;
|
||||
xlabel('f [GHz]'); ylabel('|H_{11}| [dB]');
|
||||
title('Hauptkanal (inkl. Dispersion/Loss + optional Echo)');
|
||||
|
||||
subplot(2,1,2);
|
||||
plot(f/1e9, 20*log10(abs(H21)+1e-15)); grid on;
|
||||
xlabel('f [GHz]'); ylabel('|H_{21}| [dB]');
|
||||
title('Crosstalk-Pfad (Aggressor -> Victim)');
|
||||
|
||||
%% ----------------------- Optional: Bitfehlersicht / Sampling -------------
|
||||
% Einfaches Sampling in der UI-Mitte (ohne Taktwiedergewinnung)
|
||||
% (nur grobe Demo, kein echter CDR)
|
||||
sampleOffset = round(os/2);
|
||||
idx = sampleOffset:os:(sampleOffset + (Nbits-2)*os);
|
||||
samples = y_v(idx);
|
||||
|
||||
% Hard Decision
|
||||
bh = samples > 0;
|
||||
ber = mean(bh(:) ~= b_v(1:length(bh)));
|
||||
|
||||
fprintf('--- Ergebnis ---\n');
|
||||
fprintf('Bitrate: %.2f Gb/s, Oversampling: %d, Fs: %.2f GHz\n', Rb/1e9, os, Fs/1e9);
|
||||
fprintf('Echo: %d (a=%.3f, tau=%.1f ps)\n', useEcho, a_echo, tau*1e12);
|
||||
fprintf('Crosstalk k_xt=%.3f, fc=%.2f GHz\n', k_xt, fc/1e9);
|
||||
fprintf('Grobe BER (ohne CDR/EQ): %.3e\n', ber);
|
||||
|
||||
%==========================================================================
|
||||
% Lokale Hilfsfunktionen
|
||||
%==========================================================================
|
||||
|
||||
function [x1o, x2o] = apply_1pole_lp(x1, x2, Fs, f3dB)
|
||||
% 1. Ordnung Tiefpass als TX-Bandbegrenzung (optional)
|
||||
if isempty(f3dB) || f3dB<=0
|
||||
x1o = x1; x2o = x2; return;
|
||||
end
|
||||
w = 2*pi*f3dB;
|
||||
a = exp(-w/Fs);
|
||||
b = 1-a;
|
||||
x1o = filter(b, [1 -a], x1);
|
||||
x2o = filter(b, [1 -a], x2);
|
||||
end
|
||||
|
||||
function plot_eye(y, os, nUI)
|
||||
% Eye-Diagramm ohne Toolbox: Segmente von nUI*os sampeln und überlagern
|
||||
Lseg = nUI*os;
|
||||
nSeg = floor(length(y)/os) - nUI - 2;
|
||||
if nSeg < 10
|
||||
warning('Zu wenig Daten für Eye.');
|
||||
return;
|
||||
end
|
||||
|
||||
figure('Name','Eye Diagramm');
|
||||
hold on; grid on;
|
||||
t = (0:Lseg-1)/os; % in UI
|
||||
for k = 1:nSeg
|
||||
i0 = (k-1)*os + 1;
|
||||
seg = y(i0:i0+Lseg-1);
|
||||
plot(t, seg);
|
||||
end
|
||||
xlabel('Zeit [UI]');
|
||||
ylabel('Amplitude [V (rel.)]');
|
||||
title(sprintf('Eye Diagramm (Breite = %d UI, Oversampling = %d)', nUI, os));
|
||||
end
|
||||
116
projects/ASTRO Electrical Link/SBD_Transmission.m
Normal file
116
projects/ASTRO Electrical Link/SBD_Transmission.m
Normal file
@@ -0,0 +1,116 @@
|
||||
%%
|
||||
clear all;
|
||||
close all;
|
||||
|
||||
% General Parameters
|
||||
M = 2;
|
||||
fsym = 20e9;
|
||||
K_over = 8;
|
||||
fs = K_over*fsym;
|
||||
pulselength_mf = 16;
|
||||
rolloff_mf = 0.1;
|
||||
N = 18;
|
||||
Pform = Pulseformer("fsym",fsym,"fdac",fs,"pulse","rc","pulselength",16,"alpha",0.1);
|
||||
duob_mode = db_mode.no_db;
|
||||
|
||||
% FFE Parameters
|
||||
len_tr = 4096*2;
|
||||
mu_ffe1 = 0.0001;
|
||||
mu_ffe2 = 0.0008;
|
||||
mu_ffe3 = 0.001;
|
||||
mu_dc = 0.004;
|
||||
mu_ffe = [mu_ffe1 mu_ffe3 mu_ffe3];
|
||||
mu_dfe = 0.0004;
|
||||
ffe_order = [300, 0, 0];
|
||||
|
||||
% Toggles
|
||||
hybrid = 1;
|
||||
ctle = 1;
|
||||
timing_recovery = 0;
|
||||
ffe = 0;
|
||||
plots = 1;
|
||||
|
||||
% Generate Data
|
||||
[a_1,a_1_Symbols,a_1_Tx_bits] = PAMsource(...
|
||||
"fsym",fsym,"M",M,"order",N,"useprbs",0,...
|
||||
"fs_out",fs,...
|
||||
"applyclipping",0,"clipfactor",1.5,...
|
||||
"applypulseform",1,"pulseformer",Pform,...
|
||||
"randkey",1,...
|
||||
'duobinary_mode',duob_mode,...
|
||||
"mrds_code",0,"mrds_blocklength",512).process();
|
||||
|
||||
[a_2,a_2_Symbols,a_2_Tx_bits] = PAMsource(...
|
||||
"fsym",fsym,"M",M,"order",18,"useprbs",0,...
|
||||
"fs_out",fs,...
|
||||
"applyclipping",0,"clipfactor",1.5,...
|
||||
"applypulseform",1,"pulseformer",Pform,...
|
||||
"randkey",1,...
|
||||
'duobinary_mode',duob_mode,...
|
||||
"mrds_code",0,"mrds_blocklength",512).process();
|
||||
|
||||
% S-Parameter Calculation
|
||||
file_path = "C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\COM Test\Mellitz\host_pkg_top_50mm_max_skew_cable_module_pin_pad_fext1.s4p";
|
||||
plot_parameters = 1;
|
||||
test = 0;
|
||||
S_test = [0,1;1,0];
|
||||
[b_1, b_2] = Electrical_Trace_BiDi('file_path',file_path,'plot',plot_parameters,'test',test,'S_test',S_test).process(a_1,a_2);
|
||||
|
||||
% Hybrid
|
||||
if hybrid
|
||||
[~,b_1,~] = Electrical_Hybrid("file_path",file_path).process(a_1,b_1);
|
||||
[~,b_2,~] = Electrical_Hybrid("file_path",file_path).process(a_2,b_2);
|
||||
end
|
||||
|
||||
% CTLE
|
||||
if ctle
|
||||
b_2.normalize("mode","rms").plot("displayname",'Before CTLE','fignum',9);
|
||||
b_2.normalize("mode","rms").spectrum("displayname",'Before CTLE','normalizeTo0dB',1,'fignum',10);
|
||||
b_2.normalize("mode","rms").eye(fsym,2,'displayname','Before CTLE','fignum',11);
|
||||
|
||||
b_2 = CTLE('Aac_dB',0,'Adc_dB',-5,'f_p1',7.5e9,'f_p2',10e9,'plot',1).process(b_2);
|
||||
|
||||
b_2.normalize("mode","rms").plot("displayname",'After CTLE','fignum',9);
|
||||
b_2.normalize("mode","rms").spectrum("displayname",'After CTLE','normalizeTo0dB',1,'fignum',10);
|
||||
b_2.normalize("mode","rms").eye(fsym,2,'displayname','After CTLE','fignum',12);
|
||||
end
|
||||
|
||||
% Timing Recovery
|
||||
if timing_recovery
|
||||
b_1 = MaxVar_Timing_Recovery('mode',0,'fsym',fsym,'fadc',K_over*fsym,'num_tau',K_over*128,'sps',K_over,'comp_signal',0,'comp_mode',0).process(b_1);
|
||||
b_2 = MaxVar_Timing_Recovery('mode',0,'fsym',fsym,'fadc',K_over*fsym,'num_tau',K_over*128,'sps',K_over,'comp_signal',0,'comp_mode',0).process(b_2);
|
||||
end
|
||||
|
||||
% FFE
|
||||
if ffe
|
||||
eq_ffe = EQ("Ne",ffe_order,"Nb",[0,0,0], ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",1,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
|
||||
output.ffe_results = ffe(eq_ffe,M,b_2,a_1_Symbols,a_1_Tx_bits, ...
|
||||
"precode_mode",duob_mode,'showAnalysis',1,"postFFE",[], ...
|
||||
"eth_style_symbol_mapping",0);
|
||||
|
||||
output.ffe_results.metrics.print
|
||||
end
|
||||
|
||||
% Plots
|
||||
if plots
|
||||
% Time Domain Signals
|
||||
a_1.normalize("mode","rms").plot("displayname",'1st Port Tx','fignum',3);
|
||||
b_2.normalize("mode","rms").plot("displayname",'2nd Port Rx','fignum',3);
|
||||
|
||||
a_2.normalize("mode","rms").plot("displayname",'2nd Port Tx','fignum',4);
|
||||
b_1.normalize("mode","rms").plot("displayname",'1st Port Rx','fignum',4);
|
||||
|
||||
% Spectra
|
||||
a_1.normalize("mode","rms").spectrum("displayname",'1st Port Tx','normalizeTo0dB',1,'fignum',5);
|
||||
b_2.normalize("mode","rms").spectrum("displayname",'2nd Port Rx','normalizeTo0dB',1,'fignum',5);
|
||||
|
||||
a_2.normalize("mode","rms").spectrum("displayname",'2nd Port Tx','normalizeTo0dB',1,'fignum',6);
|
||||
b_1.normalize("mode","rms").spectrum("displayname",'1st Port Rx','normalizeTo0dB',1,'fignum',6);
|
||||
|
||||
figure;plot(xcorr(a_1.signal,b_2.signal));
|
||||
figure;plot(xcorr(a_2.signal,b_1.signal));
|
||||
end
|
||||
@@ -0,0 +1,26 @@
|
||||
% Generate Random NRZ Signal
|
||||
fsym = 50e9;
|
||||
K_over = 4;
|
||||
fs = K_over*fsym;
|
||||
pulselength_mf = 16;
|
||||
rolloff_mf = 0.1;
|
||||
N = 2^18;
|
||||
|
||||
test_signal = (2*randi([0 1], 1, N) - 1).';
|
||||
test_signal = Electricalsignal(test_signal,"fs",fsym);
|
||||
|
||||
% test_signal_en = Duobinary().encode(test_signal);
|
||||
% test_signal_de = Duobinary().decode(test_signal_en);
|
||||
%
|
||||
% test_signal_de.normalize("mode","rms").spectrum("displayname",'After Enc-Dec','fignum',2);
|
||||
% test_signal_de.normalize("mode","rms").plot("displayname",'After Enc-Dec','fignum',3);
|
||||
|
||||
test_signal_pre = Duobinary().precode(test_signal);
|
||||
|
||||
test_signal.normalize("mode","rms").spectrum("displayname",'Before Pre','fignum',2);
|
||||
test_signal.normalize("mode","rms").plot("displayname",'Before Pre','fignum',3);
|
||||
|
||||
test_signal_pre.normalize("mode","rms").spectrum("displayname",'After Pre','fignum',2);
|
||||
test_signal_pre.normalize("mode","rms").plot("displayname",'After Pre','fignum',3);
|
||||
|
||||
|
||||
@@ -0,0 +1,74 @@
|
||||
%%
|
||||
current = 225:10:285;
|
||||
current = string(current);
|
||||
power = [28.02, 33.2, 37.5, 42.3, 46.3, 49.3, 53.4];
|
||||
power = string(power);
|
||||
num_pf_coeff = 4;
|
||||
taps_ffe = [200, 0, 0];
|
||||
taps_dfe = [0, 0, 0];
|
||||
M = 4;
|
||||
trlength = 4096*4;
|
||||
x = 225:10:285;
|
||||
BER_PAM_2 = [];
|
||||
post_only = 0;
|
||||
filter_length_vec = 140;
|
||||
num_signal = 11;
|
||||
our_signal = 1;
|
||||
weighted_DFE = 0;
|
||||
|
||||
for eq_method = 1
|
||||
|
||||
for db_target = 0:1
|
||||
for j = 1:length(current)
|
||||
BER_run = first_analysis_ber(current(j), power(j), num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method, filter_length_vec, num_signal, our_signal, weighted_DFE, db_target);
|
||||
BER_PAM_2 = [BER_PAM_2, BER_run];
|
||||
end
|
||||
save('C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\BER_PAM_4_FFE_Only_DB_Target_' + string(db_target) + '.mat', 'x', 'BER_PAM_2')
|
||||
BER_PAM_2 = [];
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
%%
|
||||
x = 225:10:285;
|
||||
for k = 0:1
|
||||
BER = load('C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\BER_PAM_4_FFE_Only_DB_Target_' + string(k) + '.mat');
|
||||
BER = BER.BER_PAM_2;
|
||||
|
||||
figure(202120)
|
||||
plot(x, BER, '-o','LineWidth',1.75);
|
||||
hold on
|
||||
end
|
||||
if M == 2
|
||||
old_BER = [-1.5, -1.75, -2, -2.3, -2.6, -2.25, -1.95];
|
||||
elseif M == 4
|
||||
old_BER = [-1.6, -1.85, -2.2, -2.45, -2.3, -2, -1.4];
|
||||
end
|
||||
old_BER = 10.^(old_BER);
|
||||
plot(x, old_BER, '-o','LineWidth',1.75)
|
||||
|
||||
h1 = yline(2e-2, ':k', 'LineWidth',1.5);
|
||||
h2 = yline(3.8e-3,':b', 'LineWidth',1.5);
|
||||
h3 = yline(4.85e-3,':g', 'LineWidth',1.5);
|
||||
h4 = yline(2.2e-4,':r', 'LineWidth',1.5);
|
||||
|
||||
% Legende NUR für Kurven
|
||||
legend('FFE without DB Target - 200 Taps', 'FFE with DB Target - 200 Taps', 'BER Paper', ...
|
||||
'Interpreter','latex', ...
|
||||
'Location','southwest', 'FontSize', 14)
|
||||
|
||||
% FEC Labels direkt im Plot
|
||||
text(221,2.2e-2,'o-FEC','Color','k','FontSize', 14, 'Interpreter','latex')
|
||||
text(221,3.3e-3,'HD-FEC','Color','b','FontSize', 14, 'Interpreter','latex')
|
||||
text(221,5.4e-3,'KP4+Hamming','Color','g','FontSize', 14,'Interpreter','latex')
|
||||
text(221,2.4e-4,'KP4','Color','r','FontSize', 14,'Interpreter','latex')
|
||||
|
||||
xlabel('Laser Bias Current [mA]', 'Interpreter','latex')
|
||||
ylabel('BER', 'Interpreter','latex')
|
||||
% title('BER for PAM-2', 'Interpreter','latex')
|
||||
|
||||
grid minor
|
||||
ylim([1e-4 1])
|
||||
set(gca,'YScale','log')
|
||||
% beautifyBERplot
|
||||
hold off
|
||||
@@ -0,0 +1,69 @@
|
||||
%%
|
||||
current = 225:10:285;
|
||||
current = string(current);
|
||||
|
||||
power = [8.4, 8.4, 42.3, 8.4, 8.4];
|
||||
power = string(power);
|
||||
|
||||
num_pf_coeff = 4;
|
||||
taps_ffe = [200, 0, 0];
|
||||
taps_dfe = [0, 0, 0];
|
||||
M = 4;
|
||||
trlength = 4096*4;
|
||||
x = 4:1:8;
|
||||
BER_PAM_2 = [];
|
||||
post_only = 0;
|
||||
filter_length_vec = 140;
|
||||
num_signal = 11;
|
||||
our_signal = 1;
|
||||
weighted_DFE = 0;
|
||||
|
||||
for eq_method = 1
|
||||
|
||||
for db_target = 0:1
|
||||
for baud_rate = 4:1:8
|
||||
BER_run = first_analysis_baud_rate_sweep(string(baud_rate), power(baud_rate-3), num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method, filter_length_vec, num_signal, db_target);
|
||||
BER_PAM_2 = [BER_PAM_2, BER_run];
|
||||
end
|
||||
save('C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\BER_PAM_4_FFE_Only_DB_Target_Baud_Rate_Sweep' + string(db_target) + '.mat', 'x', 'BER_PAM_2')
|
||||
BER_PAM_2 = [];
|
||||
end
|
||||
|
||||
end
|
||||
|
||||
%%
|
||||
x = 4:1:8;
|
||||
for k = 0:1
|
||||
BER = load('C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\BER_PAM_4_FFE_Only_DB_Target_Baud_Rate_Sweep' + string(k) + '.mat');
|
||||
BER = BER.BER_PAM_2;
|
||||
|
||||
figure(202120)
|
||||
plot(x, BER, '-o','LineWidth',1.75);
|
||||
hold on
|
||||
end
|
||||
|
||||
h1 = yline(2e-2, ':k', 'LineWidth',1.5);
|
||||
h2 = yline(3.8e-3,':b', 'LineWidth',1.5);
|
||||
h3 = yline(4.85e-3,':g', 'LineWidth',1.5);
|
||||
h4 = yline(2.2e-4,':r', 'LineWidth',1.5);
|
||||
|
||||
% Legende NUR für Kurven
|
||||
legend('FFE without DB Target - 200 Taps', 'FFE with DB Target - 200 Taps', ...
|
||||
'Interpreter','latex', ...
|
||||
'Location','southwest', 'FontSize', 14)
|
||||
|
||||
% FEC Labels direkt im Plot
|
||||
text(221,2.2e-2,'o-FEC','Color','k','FontSize', 14, 'Interpreter','latex')
|
||||
text(221,3.3e-3,'HD-FEC','Color','b','FontSize', 14, 'Interpreter','latex')
|
||||
text(221,5.4e-3,'KP4+Hamming','Color','g','FontSize', 14,'Interpreter','latex')
|
||||
text(221,2.4e-4,'KP4','Color','r','FontSize', 14,'Interpreter','latex')
|
||||
|
||||
xlabel('Symbol Rate [GBd]', 'Interpreter','latex')
|
||||
ylabel('BER', 'Interpreter','latex')
|
||||
% title('BER for PAM-2', 'Interpreter','latex')
|
||||
|
||||
grid minor
|
||||
ylim([1e-2 1])
|
||||
set(gca,'YScale','log')
|
||||
% beautifyBERplot
|
||||
hold off
|
||||
@@ -0,0 +1,149 @@
|
||||
%%
|
||||
M = 4;
|
||||
current = 255;
|
||||
power = [8.4, 8.4, 42.3, 8.4, 8.4, 8.4, 8.4];
|
||||
rolloff = 0.6;
|
||||
baudrate = 4:1:10;
|
||||
baudrate_e = ["4e9", "5e9", "6e9", "7e9", "8e9", "9e9", "1e10"];
|
||||
|
||||
num_pf_coeff = 4;
|
||||
taps_ffe = [300, 0, 0];
|
||||
taps_dfe = [0, 0, 0];
|
||||
trlength = 4096*4;
|
||||
filter_length = 210;
|
||||
|
||||
x = 4:1:10;
|
||||
num_currents = length(x);
|
||||
num_signals = 18;
|
||||
num_eq_methods = 4;
|
||||
BER_PAM_2 = zeros(num_currents,num_signals);
|
||||
save_name = "BER_PAM_4_Waitbar_Test";
|
||||
|
||||
% ---------------- Progressbar Setup ----------------
|
||||
totalRuns = num_eq_methods * num_currents * num_signals;
|
||||
runCount = 0;
|
||||
|
||||
h = waitbar(0, 'Starte Simulation...', 'Name', 'FSO Simulation Progress');
|
||||
tStart = tic;
|
||||
|
||||
% Optional: nur alle N Schritte UI updaten (reduziert Overhead)
|
||||
updateEvery = 1; % z.B. 10 setzen, wenn es extrem viele Iterationen werden
|
||||
% ---------------------------------------------------
|
||||
|
||||
try
|
||||
for eq_method = 1:1:4
|
||||
num_current_iteration = 1;
|
||||
for i = 1:num_currents
|
||||
for num_signal = 1:1:num_signals
|
||||
|
||||
% --- Dein eigentlicher Run ---
|
||||
try
|
||||
BER_run = first_analysis_fso(current, power(i), baudrate(i), baudrate_e(i), rolloff, ...
|
||||
num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method, filter_length, num_signal);
|
||||
catch
|
||||
BER_run = NaN;
|
||||
end
|
||||
BER_PAM_2(num_current_iteration, num_signal) = BER_run;
|
||||
% -----------------------------
|
||||
|
||||
% --- Progress updaten ---
|
||||
runCount = runCount + 1;
|
||||
|
||||
if mod(runCount, updateEvery) == 0 || runCount == 1 || runCount == totalRuns
|
||||
frac = runCount / totalRuns;
|
||||
|
||||
elapsed = toc(tStart);
|
||||
if frac > 0
|
||||
remaining = elapsed * (1/frac - 1);
|
||||
else
|
||||
remaining = NaN;
|
||||
end
|
||||
|
||||
msg = sprintf(['EQ %d/4 | i %d/%d | Signal %d/%d\n' ...
|
||||
'Gesamt %d/%d (%.1f %%) | ETA ~ %.1f min'], ...
|
||||
eq_method, i, num_currents, num_signal, num_signals, ...
|
||||
runCount, totalRuns, 100*frac, remaining/60);
|
||||
|
||||
waitbar(frac, h, msg);
|
||||
|
||||
% Falls jemand das waitbar-Fenster schließt: sauber abbrechen
|
||||
if ~ishandle(h)
|
||||
error('Progressbar wurde geschlossen. Abbruch durch Nutzer.');
|
||||
end
|
||||
end
|
||||
% ------------------------
|
||||
|
||||
end
|
||||
num_current_iteration = num_current_iteration + 1;
|
||||
end
|
||||
|
||||
save('C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\' + save_name + "_" + string(eq_method) + '.mat', 'x', 'BER_PAM_2')
|
||||
BER_PAM_2 = zeros(num_currents, num_signals);
|
||||
end
|
||||
|
||||
catch ME
|
||||
% Falls irgendwas schiefgeht: waitbar schließen und Fehler weiterwerfen
|
||||
if exist('h','var') && ishandle(h)
|
||||
close(h);
|
||||
end
|
||||
rethrow(ME);
|
||||
end
|
||||
|
||||
% Clean exit
|
||||
if exist('h','var') && ishandle(h)
|
||||
close(h);
|
||||
end
|
||||
|
||||
%%
|
||||
x = 4:1:10;
|
||||
save_name = "BER_PAM_4_Waitbar_Test";
|
||||
figure(202120); clf; hold on; grid on;
|
||||
for k = 1:4
|
||||
BER_min = zeros(1,length(x));
|
||||
BER_avg = zeros(1,length(x));
|
||||
BER_max = zeros(1,length(x));
|
||||
|
||||
tmp = load('C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\' + save_name + "_" + string(k) + '.mat');
|
||||
BER = tmp.BER_PAM_2;
|
||||
|
||||
for i = 1:length(x)
|
||||
BERs = BER(i,:);
|
||||
BER_min(i) = min(BERs);
|
||||
BER_avg(i) = mean(BERs);
|
||||
BER_max(i) = max(BERs);
|
||||
end
|
||||
|
||||
err_low = BER_avg - BER_min;
|
||||
err_high = BER_max - BER_avg;
|
||||
errorbar(x, BER_avg, err_low, err_high, '-o', 'LineWidth', 1.75);
|
||||
end
|
||||
|
||||
old_BER = [-1.5, -1.75, -2, -2.3, -2.6, -2.25, -1.95];
|
||||
old_BER = 10.^(old_BER);
|
||||
plot(x, old_BER, '-o','LineWidth',1.75)
|
||||
|
||||
h1 = yline(2e-2, ':k', 'LineWidth',1.5);
|
||||
h2 = yline(3.8e-3,':b', 'LineWidth',1.5);
|
||||
h3 = yline(4.85e-3,':g', 'LineWidth',1.5);
|
||||
h4 = yline(2.2e-4,':r', 'LineWidth',1.5);
|
||||
|
||||
% Legende NUR für Kurven
|
||||
legend('FFE', 'FFE+PF+MLSE', 'DB', 'ML-MLSE', 'BER Paper', ...
|
||||
'Interpreter','latex', ...
|
||||
'Location','southwest', 'FontSize', 14)
|
||||
|
||||
% FEC Labels direkt im Plot
|
||||
text(221,2.2e-2,'o-FEC','Color','k','FontSize', 14, 'Interpreter','latex')
|
||||
text(221,3.3e-3,'HD-FEC','Color','b','FontSize', 14, 'Interpreter','latex')
|
||||
text(221,5.4e-3,'KP4+Hamming','Color','g','FontSize', 14,'Interpreter','latex')
|
||||
text(231,2.4e-4,'KP4','Color','r','FontSize', 14,'Interpreter','latex')
|
||||
|
||||
xlabel('Laser Bias Current [mA]', 'Interpreter','latex')
|
||||
ylabel('BER', 'Interpreter','latex')
|
||||
% title('BER for PAM-2', 'Interpreter','latex')
|
||||
|
||||
grid minor
|
||||
ylim([1e-4 5e-1])
|
||||
set(gca,'YScale','log')
|
||||
% beautifyBERplot
|
||||
hold off
|
||||
@@ -5,7 +5,7 @@ power = [28.02, 33.2, 37.5, 42.3, 46.3, 49.3, 53.4];
|
||||
power = string(power);
|
||||
num_pf_coeff = 4;
|
||||
taps_ffe = [300, 0, 0];
|
||||
taps_dfe = [0, 0, 0];
|
||||
% taps_dfe = [0, 0, 0];
|
||||
M = 4;
|
||||
trlength = 4096*4;
|
||||
x = 225:10:285;
|
||||
@@ -13,20 +13,25 @@ BER_PAM_4 = [];
|
||||
filter_length = 210;
|
||||
num_signal = 11;
|
||||
our_signal = 1;
|
||||
weighted_DFE = [1, 0.1, 0.1];
|
||||
|
||||
for m = 0:5:40
|
||||
for eq_method = 2
|
||||
for j = 4
|
||||
BER_run = first_analysis_ber(current(j), power(j), num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method, filter_length, num_signal, our_signal);
|
||||
BER_run = first_analysis_ber(current(j), power(j), num_pf_coeff, taps_ffe, [m, 0, 0], M, trlength, eq_method, filter_length, num_signal, our_signal, weighted_DFE);
|
||||
BER_PAM_4 = [BER_PAM_4, BER_run];
|
||||
save_and_append('meineDB.sqlite', 'BER_PAM_4_Save_and_Append', eq_method, num_signal, BER_run, x)
|
||||
% save_and_append('meineDB.sqlite', 'BER_PAM_4_Save_and_Append', eq_method, num_signal, BER_run, x)
|
||||
end
|
||||
end
|
||||
end
|
||||
save('C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\BER_PAM_4_Weighted_DFE_' + string(k) + '.mat');
|
||||
BER_PAM_4 = [];
|
||||
end
|
||||
|
||||
|
||||
%%
|
||||
x = 0:5:40;
|
||||
for k = 2
|
||||
BER = load('C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\BER_PAM_4_DFE_Tap_Sweep_' + string(k) + '.mat');
|
||||
BER = load('C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\BER_PAM_4_Weighted_DFE_' + string(k) + '.mat');
|
||||
BER_values = BER.BER_PAM_4;
|
||||
|
||||
figure(202120)
|
||||
@@ -53,7 +58,7 @@ text(23,2.6e-3,'HD-FEC','Color','b','FontSize', 14, 'Interpreter','latex')
|
||||
text(23.5,6.5e-3,'KP4+Hamming','Color','g','FontSize', 14,'Interpreter','latex')
|
||||
text(23,1.4e-4,'KP4','Color','r','FontSize', 14,'Interpreter','latex')
|
||||
|
||||
xlabel('Laser Bias Current [mA]', 'Interpreter','latex', 'FontSize', 14)
|
||||
xlabel('Number of First Order DFE Taps', 'Interpreter','latex', 'FontSize', 14)
|
||||
ylabel('BER', 'Interpreter','latex', 'FontSize', 14)
|
||||
% title('BER for PAM-4', 'Interpreter','latex')
|
||||
|
||||
|
||||
@@ -0,0 +1,18 @@
|
||||
%%
|
||||
M = 2;
|
||||
current = 265;
|
||||
power = 8.4;
|
||||
rolloff = 0.6;
|
||||
baudrate = 20;
|
||||
baudrate_e = "2e10";
|
||||
|
||||
num_pf_coeff = 4;
|
||||
taps_ffe = [200, 0, 0];
|
||||
taps_dfe = [0, 0, 0];
|
||||
trlength = 4096*2;
|
||||
filter_length = 140;
|
||||
num_signal = 1;
|
||||
eq_method = 1;
|
||||
|
||||
BER_run = first_analysis_fso(current, power, baudrate, baudrate_e, rolloff, ...
|
||||
num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method, filter_length, num_signal);
|
||||
@@ -0,0 +1,222 @@
|
||||
function BER_value = first_analysis_fso(current, power, rolloff, num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method, filter_length, num_signal, our_signal, weighted_DFE_mode, db_target)
|
||||
%%
|
||||
close all
|
||||
|
||||
%%
|
||||
base = "C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\FSO Equalizer\Sweep Data\";
|
||||
mode = 0; %0 oder 1
|
||||
% M = 2;
|
||||
|
||||
all_files = dir(fullfile(base, "**/*.mat"));
|
||||
|
||||
if M == 2
|
||||
tx_data_path = fullfile(base, "20G_PAM2\tx_info\tx_info_PAM2_20Gbd" + rolloff + "RRC.mat");
|
||||
filename = fullfile(base, "20G_PAM2\M=2_Rs=2e10_Fs=8e10_I=" + current + "mA_RoP=" + power + "mW_L=31m_PS=RRC_rolloff=" + rolloff + "_Mode=Rise.mat");
|
||||
data_tr_mf = load("C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\FSO Equalizer\FSO_FP_QCL_60umUTC\Already Recovered and Filtered\AfterSync_M=2_Rs=1.4e10_Fs=8e10_I=265mA_RoP=46.3mW_L=31m_PS=RRC_rolloff=0.75_Mode=Rise.mat");
|
||||
elseif M == 4
|
||||
tx_data_path = fullfile(base, "6G_PAM4\tx_info\tx_info_PAM4_6Gbd0.6RRC.mat");
|
||||
filename = fullfile(base, "6G_PAM4\M=4_Rs=6e9_Fs=8e10_I=" + current + "mA_RoP=" + power + "mW_L=31m_PS=RRC_rolloff=0.6_Mode=Rise.mat");
|
||||
data_tr_mf = load("C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\FSO Equalizer\FSO_FP_QCL_60umUTC\Already Recovered and Filtered\AfterSync_M=4_Rs=6e9_Fs=8e10_I=255mA_RoP=42.3mW_L=31m_PS=RRC_rolloff=0.6_Mode=Rise.mat");
|
||||
end
|
||||
|
||||
if mode == 1
|
||||
[f, p] = uigetfile(fullfile(base, "**/*.mat"));
|
||||
if f~=0
|
||||
filename = fullfile(p,f);
|
||||
end
|
||||
end
|
||||
|
||||
tx_data = load(tx_data_path);
|
||||
datas = load(filename);
|
||||
|
||||
%%
|
||||
str = filename;
|
||||
M_ = str2double(regexp(str, 'M=([^_]+)', 'tokens', 'once'));
|
||||
assert(M==M_);
|
||||
fsym = str2double(regexp(str, 'Rs=([^_]+)', 'tokens', 'once'));
|
||||
fs = str2double(regexp(str, 'Fs=([^_]+)', 'tokens', 'once'));
|
||||
I = sscanf(char(regexp(str, 'I=([^_]+)', 'tokens', 'once')), '%f');
|
||||
rop = sscanf(char(regexp(str, 'RoP=([^_]+)', 'tokens', 'once')), '%f');
|
||||
L = sscanf(char(regexp(str, 'L=([^_]+)', 'tokens', 'once')), '%f');
|
||||
pulseshape = string( regexp(str, 'PS=([^_]+)', 'tokens', 'once'));
|
||||
rolloff = str2double(regexp(str, 'rolloff=([^_]+)', 'tokens', 'once'));
|
||||
mode = string( regexp(str, 'Mode=([^\.]+)', 'tokens', 'once'));
|
||||
|
||||
%%
|
||||
% Tx data
|
||||
|
||||
Bits = Informationsignal(tx_data.tx_data,"fs",fsym);
|
||||
Symbols = Informationsignal(real(tx_data.tx_PAM_sym),"fs",fsym);
|
||||
|
||||
mapping_style = M==4; % Pam2 is like move-it; PAM-4 is different, same mapping like ETH peopled used in Zurich... hence the "eth_style" argument here and there
|
||||
PM = PAMmapper(M,0,"eth_style",mapping_style); % one should rename "eth style" as this is simply a different mapping scheme
|
||||
|
||||
Symbols_ = PM.map(Bits) .* PM.scaling;
|
||||
assert(isequal(Symbols.signal,Symbols_.signal));
|
||||
|
||||
Bits_ = PM.demap(Symbols);
|
||||
[bits,errors,ber,errorIndice] = calc_ber(Bits_.signal,Bits.signal);
|
||||
assert(ber == 0);
|
||||
|
||||
%% For comparison, apply pulsef on Tx Symbols
|
||||
Pform = Pulseformer("fsym",fsym,"fdac",fs,"pulse","rrc","pulselength",16,"alpha",rolloff);
|
||||
Digi_sig_compare = Pform.process(Symbols);
|
||||
MF = Pulseformer("fsym",fsym,"fdac",2*fsym,"pulse","rrc","pulselength",16,"alpha",rolloff);
|
||||
Rx_sig_compare = MF.process(Digi_sig_compare);
|
||||
|
||||
%%
|
||||
|
||||
% Rx Data
|
||||
traceData = datas.tr.lastData(2).trace.ch3;
|
||||
|
||||
%FYI: Voltage=(RawData−YReference)×YIncrement+YOrigin
|
||||
scoperead_volts = (traceData.RawData - traceData.YReference) * traceData.YIncrement + traceData.YOrigin;
|
||||
demystified = isequal(traceData.YData,scoperead_volts);
|
||||
assert(demystified);
|
||||
|
||||
Scope_sig = Electricalsignal(traceData.YData,"fs",fs);
|
||||
|
||||
Scope_sig.plot("displayname",'raw','fignum',100);
|
||||
Scope_sig.spectrum("displayname",'raw','fignum',101)
|
||||
|
||||
Kov = 14;
|
||||
|
||||
Scope_sig = Scope_sig.resample('fs_in', fs, 'fs_out', Kov*fsym);
|
||||
|
||||
% 1) matched filter
|
||||
% pulse is symmetric, hence we can use pulsef firectly as matched filter.
|
||||
% It feels off (bit I think correct) that the fsym is now the output freq.!!
|
||||
% -> output 2 sps to omit timing recovery!?
|
||||
Matched_Filter = Pulseformer("fsym",fsym,"fdac",Kov*fsym,"pulse","rrc","pulselength",16,"alpha",rolloff,"matched",1);
|
||||
Rx_matched = Matched_Filter.process(Scope_sig);
|
||||
Rx_matched.spectrum("displayname",'Signal after matched filter','fignum',1);
|
||||
|
||||
% timing sync -> at this point we still have no symbol timing recovery, we
|
||||
% try to do this with 2sps EQ!
|
||||
[~,Rx_synced_cell,inverted,sequenceFound,sequenceStarts] = Rx_matched.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
|
||||
Rx_matched_1 = Rx_synced_cell{num_signal};
|
||||
|
||||
data_tr_mf = Electricalsignal(data_tr_mf.Results, "fs", fsym);
|
||||
[~,Rx_synced_cell_tr_mf,inverted_tr_mf,sequenceFound_tr_mf,sequenceStarts_tr_mf] = data_tr_mf.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
|
||||
Rx_tr_mf = Rx_synced_cell_tr_mf{num_signal};
|
||||
|
||||
% Rx_Time_Rec = Rx_matched;
|
||||
% Rx_Time_Rec = Timing_Recovery_Move_It('f_sim', 28e9, 'gamma', 0.1).process(Rx_matched_1);
|
||||
|
||||
Time_Rec = 1;
|
||||
if Time_Rec
|
||||
Rx_Time_Rec = MaxVar_Timing_Recovery('mode',0,'fsym',fsym,'fadc',Kov*fsym,'num_tau',Kov*128,'sps',Kov,'comp_signal',0,'comp_mode',0).process(Rx_matched_1);
|
||||
sps = 1;
|
||||
else
|
||||
sps = Kov;
|
||||
end
|
||||
Rx_Time_Rec.fs = fsym;
|
||||
|
||||
Rx_Time_Rec = Rx_Time_Rec.normalize('mode','rms');
|
||||
Rx_tr_mf = Rx_tr_mf.normalize('mode','rms');
|
||||
|
||||
% Rx_Time_Rec.signal = resample(Rx_Time_Rec.signal, 12e9, 6e9);
|
||||
|
||||
% Rx_matched_1.plot("fignum",231231)
|
||||
% Rx_Time_Rec.plot("fignum",231231)
|
||||
|
||||
%% not working..
|
||||
if our_signal
|
||||
Rx_synced = Rx_Time_Rec;
|
||||
else
|
||||
Rx_synced = Rx_tr_mf;
|
||||
end
|
||||
% Rx_synced = Rx_Time_Rec;
|
||||
% Rx_synced = Rx_synced_cell{1};
|
||||
len_tr = trlength;
|
||||
mu_ffe1 = 0.0001;
|
||||
mu_ffe2 = 0.0008;
|
||||
mu_ffe3 = 0.001;
|
||||
mu_dc = 0.004;
|
||||
mu_ffe = [mu_ffe1 mu_ffe3 mu_ffe3];
|
||||
mu_dfe = 0.0004;
|
||||
duob_mode = db_mode.no_db;
|
||||
|
||||
Rx_synced.plot("displayname",'RX: Matched+Sync+2sps','fignum',103);
|
||||
Rx_synced.spectrum("displayname",'RX: Matched+Sync+2sps','fignum',104);
|
||||
|
||||
Digi_sig_compare.normalize("mode","rms").spectrum("displayname",'Tx: RC-shaped','fignum',1,'normalizeTo0dB',1);
|
||||
Rx_sig_compare.normalize("mode","rms").spectrum("displayname",'Tx: RC-shaped + matched filtered ','fignum',1,'normalizeTo0dB',1);
|
||||
Rx_synced.normalize("mode","rms").spectrum("displayname",'RX: matched filtered + synced','fignum',1,'normalizeTo0dB',1);
|
||||
|
||||
if M == 2
|
||||
ber_in_paper = 10^(-2.6); %fig 3a) 4 Gb/s MWIR FSO Transmission using Directly Modulated QCL and an Uncooled UTC-PD at Room-Temperature
|
||||
elseif M == 4
|
||||
ber_in_paper = 10^(-2.5);
|
||||
end
|
||||
|
||||
if eq_method == 1
|
||||
|
||||
%% -------------------- FFE --------------------
|
||||
% requires some more digging what is going on :-)
|
||||
eq_ffe = EQ("Ne",taps_ffe,"Nb",taps_dfe, ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
|
||||
ffe_results = ffe_db(eq_ffe,M,Rx_synced,Symbols,Bits, ...
|
||||
"precode_mode",duob_mode,'showAnalysis',0,"postFFE",[], ...
|
||||
"eth_style_symbol_mapping",mapping_style,'db_target',db_target);
|
||||
|
||||
% ffe_results.metrics.print
|
||||
fprintf('My EQ: %.1e \n',ffe_results.metrics.BER);
|
||||
fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
BER_value = ffe_results.metrics.BER;
|
||||
|
||||
elseif eq_method == 2
|
||||
|
||||
%% -------------------- VNLE + MLSE --------------------
|
||||
|
||||
pf_ncoeffs = num_pf_coeff;
|
||||
eq_v = EQ("Ne",taps_ffe,"Nb",taps_dfe, ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",0,'weighted_DFE',0,'weighted_DFE_d_min',0.5, ...
|
||||
'weighted_DFE_mode','I2','weighted_DFE_I_mode',weighted_DFE_mode,'PDFE_coefficient',0.01);
|
||||
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
|
||||
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0,"eth_style",mapping_style).levels);
|
||||
|
||||
[vnle_results, mlse_results] = vnle_postfilter_mlse(eq_v, pf_, mlse_, M, Rx_synced, Symbols, Bits, ...
|
||||
"precode_mode", duob_mode, 'showAnalysis', 1, "postFFE", [], "eth_style_symbol_mapping", mapping_style);
|
||||
|
||||
mlse_results.metrics.print
|
||||
fprintf('My EQ: %.1e \n',mlse_results.metrics.BER);
|
||||
fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
BER_value = mlse_results.metrics.BER;
|
||||
|
||||
elseif eq_method == 3
|
||||
|
||||
%% -------------------- DB target --------------------
|
||||
mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,'trellis_states',PAMmapper(M,0).levels);
|
||||
|
||||
eq_ = EQ("Ne",taps_ffe,"Nb",taps_dfe,"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
|
||||
dbt_results = duobinary_target(eq_,mlse_db_, M, Rx_synced, Symbols, Bits, ...
|
||||
"precode_mode", duob_mode, 'showAnalysis', 0, "postFFE", [],"eth_style_symbol_mapping",mapping_style,"decoding_mode","memoryless");
|
||||
|
||||
dbt_results.metrics.print("description",'Duobinary');
|
||||
fprintf('My EQ: %.1e \n',dbt_results.metrics.BER);
|
||||
fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
BER_value = dbt_results.metrics.BER;
|
||||
|
||||
elseif eq_method == 4
|
||||
|
||||
%% -------------------- ML-based MLSE (L=2) --------------------
|
||||
ml_mlse_equalizer = ML_MLSE("epochs_tr",150,"epochs_dd",1, ...
|
||||
"len_tr",length(Rx_synced),"mu_dd",0.03,"mu_tr",0.03,"order",filter_length,"sps",1, ...
|
||||
"traceback_depth",256,"L",1,"delta",4,"adaptive_mu",0);
|
||||
|
||||
[ml_mlse_results] = ml_mlse(ml_mlse_equalizer, M, Rx_synced, Symbols, Bits,"precode_mode",duob_mode,"eth_style_symbol_mapping",mapping_style);
|
||||
fprintf('ML-based MLSE:\n');
|
||||
fprintf('My EQ: %.1e \n',ml_mlse_results.metrics.BER);
|
||||
fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
BER_value = ml_mlse_results.metrics.BER;
|
||||
|
||||
end
|
||||
end
|
||||
@@ -1,4 +1,4 @@
|
||||
function [BER, Channel_Alpha] = first_analysis_baud_rate_sweep(baud_rate, power, num_pf_coeff, taps_ffe, taps_dfe, M, trlength, method, filter_length, num_signal)
|
||||
function [BER, Channel_Alpha] = first_analysis_baud_rate_sweep(baud_rate, power, num_pf_coeff, taps_ffe, taps_dfe, M, trlength, method, filter_length, num_signal, db_target)
|
||||
%%
|
||||
close all
|
||||
base = "C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\FSO Equalizer\Sweep Data\";
|
||||
@@ -138,14 +138,14 @@ function [BER, Channel_Alpha] = first_analysis_baud_rate_sweep(baud_rate, power,
|
||||
if method == 1
|
||||
%% -------------------- FFE --------------------
|
||||
% requires some more digging what is going on :-)
|
||||
eq_ffe = EQ("Ne",[500, 0, 0],"Nb",[0, 0, 0], ...
|
||||
eq_ffe = EQ("Ne",taps_ffe,"Nb",taps_dfe, ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
|
||||
ffe_results = ffe(eq_ffe,M,Rx_synced,Symbols,Bits, ...
|
||||
"precode_mode",duob_mode,'showAnalysis',0,"postFFE",[], ...
|
||||
"eth_style_symbol_mapping",mapping_style);
|
||||
"eth_style_symbol_mapping",mapping_style,'db_target',db_target);
|
||||
|
||||
% ffe_results.metrics.print
|
||||
fprintf('My EQ: %.1e \n',ffe_results.metrics.BER);
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method, filter_length, num_signal, our_signal, weighted_DFE)
|
||||
function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method, filter_length, num_signal, our_signal, weighted_DFE, db_target)
|
||||
%%
|
||||
close all
|
||||
|
||||
@@ -154,14 +154,14 @@ function BER_value = first_analysis_ber(current, power, num_pf_coeff, taps_ffe,
|
||||
|
||||
%% -------------------- FFE --------------------
|
||||
% requires some more digging what is going on :-)
|
||||
eq_ffe = EQ("Ne",[500, 0, 0],"Nb",[0, 0, 0], ...
|
||||
eq_ffe = EQ("Ne",taps_ffe,"Nb",taps_dfe, ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
|
||||
ffe_results = ffe(eq_ffe,M,Rx_synced,Symbols,Bits, ...
|
||||
"precode_mode",duob_mode,'showAnalysis',0,"postFFE",[], ...
|
||||
"eth_style_symbol_mapping",mapping_style);
|
||||
"eth_style_symbol_mapping",mapping_style,'db_target',db_target);
|
||||
|
||||
% ffe_results.metrics.print
|
||||
fprintf('My EQ: %.1e \n',ffe_results.metrics.BER);
|
||||
|
||||
@@ -0,0 +1,180 @@
|
||||
function BER_value = first_analysis_fso(current, power, baudrate, baudrate_e, rolloff, ...
|
||||
num_pf_coeff, taps_ffe, taps_dfe, M, trlength, eq_method, filter_length, num_signal)
|
||||
|
||||
%% Close Remaining Figures
|
||||
close all
|
||||
|
||||
%% Load Data
|
||||
base = "C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\FSO Equalizer\Sweep Data\";
|
||||
mode = 0; %0 oder 1
|
||||
|
||||
tx_data_path = fullfile(base, string(baudrate) + "G_PAM" + string(M) + "\tx_info\tx_info_PAM" + string(M) + "_" + string(baudrate) + "Gbd" + string(rolloff) + "RRC.mat");
|
||||
filename = fullfile(base, string(baudrate) + "G_PAM" + string(M) + "\M=" + string(M) + "_Rs=" + baudrate_e + "_Fs=8e10_I=" + string(current) + "mA_RoP=" + string(power) + "mW_L=31m_PS=RRC_rolloff=" + string(rolloff) + "_Mode=Rise.mat");
|
||||
|
||||
if mode == 1
|
||||
[f, p] = uigetfile(fullfile(base, "**/*.mat"));
|
||||
if f~=0
|
||||
filename = fullfile(p,f);
|
||||
end
|
||||
end
|
||||
|
||||
tx_data = load(tx_data_path);
|
||||
datas = load(filename);
|
||||
|
||||
%%
|
||||
str = filename;
|
||||
M_ = str2double(regexp(str, 'M=([^_]+)', 'tokens', 'once'));
|
||||
assert(M==M_);
|
||||
fsym = str2double(regexp(str, 'Rs=([^_]+)', 'tokens', 'once'));
|
||||
fs = str2double(regexp(str, 'Fs=([^_]+)', 'tokens', 'once'));
|
||||
I = sscanf(char(regexp(str, 'I=([^_]+)', 'tokens', 'once')), '%f');
|
||||
rop = sscanf(char(regexp(str, 'RoP=([^_]+)', 'tokens', 'once')), '%f');
|
||||
L = sscanf(char(regexp(str, 'L=([^_]+)', 'tokens', 'once')), '%f');
|
||||
pulseshape = string( regexp(str, 'PS=([^_]+)', 'tokens', 'once'));
|
||||
rolloff = str2double(regexp(str, 'rolloff=([^_]+)', 'tokens', 'once'));
|
||||
mode = string( regexp(str, 'Mode=([^\.]+)', 'tokens', 'once'));
|
||||
|
||||
%% Generate Tx Data
|
||||
|
||||
Bits = Informationsignal(tx_data.tx_data,"fs",fsym);
|
||||
Symbols = Informationsignal(real(tx_data.tx_PAM_sym),"fs",fsym);
|
||||
|
||||
mapping_style = M==4; % Pam2 is like move-it; PAM-4 is different, same mapping like ETH peopled used in Zurich... hence the "eth_style" argument here and there
|
||||
PM = PAMmapper(M,0,"eth_style",mapping_style); % one should rename "eth style" as this is simply a different mapping scheme
|
||||
|
||||
Symbols_ = PM.map(Bits) .* PM.scaling;
|
||||
assert(isequal(Symbols.signal,Symbols_.signal));
|
||||
|
||||
Bits_ = PM.demap(Symbols);
|
||||
[bits,errors,ber,errorIndice] = calc_ber(Bits_.signal,Bits.signal);
|
||||
assert(ber == 0);
|
||||
|
||||
%% For comparison, apply pulsef on Tx Symbols
|
||||
Pform = Pulseformer("fsym",fsym,"fdac",fs,"pulse","rrc","pulselength",16,"alpha",rolloff);
|
||||
Digi_sig_compare = Pform.process(Symbols);
|
||||
MF = Pulseformer("fsym",fsym,"fdac",2*fsym,"pulse","rrc","pulselength",16,"alpha",rolloff);
|
||||
Rx_sig_compare = MF.process(Digi_sig_compare);
|
||||
|
||||
%% Matched Filter
|
||||
traceData = datas.tr.lastData(2).trace.ch3;
|
||||
%FYI: Voltage=(RawData−YReference)×YIncrement+YOrigin
|
||||
scoperead_volts = (traceData.RawData - traceData.YReference) * traceData.YIncrement + traceData.YOrigin;
|
||||
demystified = isequal(traceData.YData,scoperead_volts);
|
||||
assert(demystified);
|
||||
|
||||
Scope_sig = Electricalsignal(traceData.YData,"fs",fs);
|
||||
Scope_sig.plot("displayname",'raw','fignum',100);
|
||||
Scope_sig.spectrum("displayname",'raw','fignum',101)
|
||||
|
||||
Kov = 14;
|
||||
|
||||
Scope_sig = Scope_sig.resample('fs_in', fs, 'fs_out', Kov*fsym);
|
||||
|
||||
% Apply Matched Filter
|
||||
Matched_Filter = Pulseformer("fsym",fsym,"fdac",Kov*fsym,"pulse","rrc","pulselength",16,"alpha",rolloff,"matched",1);
|
||||
Rx_matched = Matched_Filter.process(Scope_sig);
|
||||
Rx_matched.spectrum("displayname",'Signal after matched filter','fignum',1);
|
||||
|
||||
%% Timing Synchronization
|
||||
[~,Rx_synced_cell,inverted,sequenceFound,sequenceStarts] = Rx_matched.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
|
||||
Rx_matched_1 = Rx_synced_cell{num_signal};
|
||||
|
||||
%% Timing Recovery
|
||||
Time_Rec = 1;
|
||||
if Time_Rec
|
||||
Rx_Time_Rec = MaxVar_Timing_Recovery('mode',0,'fsym',fsym,'fadc',Kov*fsym,'num_tau',Kov*128,'sps',Kov,'comp_signal',0,'comp_mode',0).process(Rx_matched_1);
|
||||
sps = 1;
|
||||
else
|
||||
sps = Kov;
|
||||
end
|
||||
Rx_Time_Rec.fs = fsym;
|
||||
Rx_Time_Rec = Rx_Time_Rec.normalize('mode','rms');
|
||||
|
||||
%% DSP Parameters
|
||||
Rx_synced = Rx_Time_Rec;
|
||||
len_tr = trlength;
|
||||
mu_ffe1 = 0.0001;
|
||||
mu_ffe2 = 0.0008;
|
||||
mu_ffe3 = 0.001;
|
||||
mu_dc = 0.004;
|
||||
mu_ffe = [mu_ffe1 mu_ffe3 mu_ffe3];
|
||||
mu_dfe = 0.0004;
|
||||
duob_mode = db_mode.no_db;
|
||||
|
||||
if M == 2
|
||||
ber_in_paper = 10^(-2.6); %fig 3a) 4 Gb/s MWIR FSO Transmission using Directly Modulated QCL and an Uncooled UTC-PD at Room-Temperature
|
||||
elseif M == 4
|
||||
ber_in_paper = 10^(-2.5);
|
||||
end
|
||||
|
||||
%% EQ Methods
|
||||
if eq_method == 1
|
||||
|
||||
% -------------------- FFE --------------------
|
||||
% requires some more digging what is going on :-)
|
||||
eq_ffe = EQ("Ne",[500, 0, 0],"Nb",[0, 0, 0], ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
|
||||
ffe_results = ffe(eq_ffe,M,Rx_synced,Symbols,Bits, ...
|
||||
"precode_mode",duob_mode,'showAnalysis',0,"postFFE",[], ...
|
||||
"eth_style_symbol_mapping",mapping_style);
|
||||
|
||||
% ffe_results.metrics.print
|
||||
fprintf('My EQ: %.1e \n',ffe_results.metrics.BER);
|
||||
fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
BER_value = ffe_results.metrics.BER;
|
||||
|
||||
elseif eq_method == 2
|
||||
|
||||
% -------------------- VNLE + MLSE --------------------
|
||||
|
||||
pf_ncoeffs = num_pf_coeff;
|
||||
eq_v = EQ("Ne",taps_ffe,"Nb",taps_dfe, ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",0,'weighted_DFE',0,'weighted_DFE_d_min',0.5, ...
|
||||
'weighted_DFE_mode','I2','weighted_DFE_I_mode',0,'PDFE_coefficient',0.01);
|
||||
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
|
||||
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0,"eth_style",mapping_style).levels);
|
||||
|
||||
[vnle_results, mlse_results] = vnle_postfilter_mlse(eq_v, pf_, mlse_, M, Rx_synced, Symbols, Bits, ...
|
||||
"precode_mode", duob_mode, 'showAnalysis', 1, "postFFE", [], "eth_style_symbol_mapping", mapping_style);
|
||||
|
||||
mlse_results.metrics.print
|
||||
fprintf('My EQ: %.1e \n',mlse_results.metrics.BER);
|
||||
fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
BER_value = mlse_results.metrics.BER;
|
||||
|
||||
elseif eq_method == 3
|
||||
|
||||
% -------------------- DB target --------------------
|
||||
mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,'trellis_states',PAMmapper(M,0).levels);
|
||||
|
||||
eq_ = EQ("Ne",taps_ffe,"Nb",taps_dfe,"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
|
||||
dbt_results = duobinary_target(eq_,mlse_db_, M, Rx_synced, Symbols, Bits, ...
|
||||
"precode_mode", duob_mode, 'showAnalysis', 0, "postFFE", [],"eth_style_symbol_mapping",mapping_style,"decoding_mode","sequencedetection");
|
||||
|
||||
dbt_results.metrics.print("description",'Duobinary');
|
||||
fprintf('My EQ: %.1e \n',dbt_results.metrics.BER);
|
||||
fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
BER_value = dbt_results.metrics.BER;
|
||||
|
||||
elseif eq_method == 4
|
||||
|
||||
% -------------------- ML-based MLSE (L=2) --------------------
|
||||
ml_mlse_equalizer = ML_MLSE("epochs_tr",150,"epochs_dd",1, ...
|
||||
"len_tr",length(Rx_synced),"mu_dd",0.03,"mu_tr",0.03,"order",filter_length,"sps",1, ...
|
||||
"traceback_depth",256,"L",1,"delta",4,"adaptive_mu",0);
|
||||
|
||||
[ml_mlse_results] = ml_mlse(ml_mlse_equalizer, M, Rx_synced, Symbols, Bits,"precode_mode",duob_mode,"eth_style_symbol_mapping",mapping_style);
|
||||
fprintf('ML-based MLSE:\n');
|
||||
fprintf('My EQ: %.1e \n',ml_mlse_results.metrics.BER);
|
||||
fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
BER_value = ml_mlse_results.metrics.BER;
|
||||
|
||||
end
|
||||
end
|
||||
@@ -189,7 +189,7 @@ for our_signal = 1
|
||||
end
|
||||
% Rx_synced = Rx_Time_Rec;
|
||||
% Rx_synced = Rx_synced_cell{1};
|
||||
len_tr = 4096*4;
|
||||
len_tr = 4096*2;
|
||||
mu_ffe1 = 0.0001;
|
||||
mu_ffe2 = 0.0008;
|
||||
mu_ffe3 = 0.001;
|
||||
@@ -212,7 +212,7 @@ for our_signal = 1
|
||||
end
|
||||
|
||||
%% -------------------- FFE --------------------
|
||||
% requires some more digging what is going on :-)
|
||||
% % requires some more digging what is going on :-)
|
||||
% eq_ffe = EQ("Ne",[150, 0, 0],"Nb",[0,0,0], ...
|
||||
% "training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
% "K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
@@ -222,7 +222,7 @@ for our_signal = 1
|
||||
%
|
||||
% ffe_results = ffe(eq_ffe,M,Rx_synced,Symbols,Bits, ...
|
||||
% "precode_mode",duob_mode,'showAnalysis',0,"postFFE",[], ...
|
||||
% "eth_style_symbol_mapping",mapping_style);
|
||||
% "eth_style_symbol_mapping",mapping_style,'db_target',1);
|
||||
%
|
||||
% if our_signal
|
||||
% fprintf('Our signal: %.1e \n',ffe_results.metrics.BER);
|
||||
@@ -233,29 +233,43 @@ for our_signal = 1
|
||||
% end
|
||||
|
||||
%% -------------------- VNLE + MLSE --------------------
|
||||
pf_ncoeffs = 4;
|
||||
eq_v = EQ("Ne",[300, 0, 0],"Nb",[2, 0, 0], ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",0, ...
|
||||
'weighted_DFE',1,'weighted_DFE_d_min',0.5,'weighted_DFE_mode','I2','weighted_DFE_I_mode',[1,0.1,0.1], ...
|
||||
'PDFE_coefficient',0.01);
|
||||
% eq_v = FFE_DFE('ffe_order',300,'dfe_order',5,'len_tr',len_tr,'epochs_tr',5,'epochs_dd',5, ...
|
||||
% 'ffe_mu_dd',mu_ffe,'ffe_mu_tr',0,'dfe_mu_dd',mu_dfe,'dfe_mu_tr',0.005,'sps',sps,'decide',0);
|
||||
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
|
||||
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0,"eth_style",mapping_style).levels);
|
||||
% pf_ncoeffs = 4;
|
||||
% eq_v = EQ("Ne",[300, 0, 0],"Nb",[0, 0, 0], ...
|
||||
% "training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
% "K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
% "FFEmu",0,"plotfinal",0,"ideal_dfe",0, ...
|
||||
% 'weighted_DFE',2,'weighted_DFE_d_min',0.9,'weighted_DFE_mode','R1','weighted_DFE_I_mode',[1,0.1,0.1], ...
|
||||
% 'PDFE_coefficient',0.01);
|
||||
% % eq_v = FFE_DFE('ffe_order',300,'dfe_order',5,'len_tr',len_tr,'epochs_tr',5,'epochs_dd',5, ...
|
||||
% % 'ffe_mu_dd',mu_ffe,'ffe_mu_tr',0,'dfe_mu_dd',mu_dfe,'dfe_mu_tr',0.005,'sps',sps,'decide',0);
|
||||
% pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
|
||||
% mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0,"eth_style",mapping_style).levels);
|
||||
%
|
||||
% [vnle_results, mlse_results] = vnle_postfilter_mlse(eq_v, pf_, mlse_, M, Rx_synced, Symbols, Bits, ...
|
||||
% "precode_mode", duob_mode, 'showAnalysis', 1, "postFFE", [], "eth_style_symbol_mapping", mapping_style);
|
||||
%
|
||||
% mlse_results.metrics.print
|
||||
% if our_signal
|
||||
% fprintf('Our Signal: %.1e \n',mlse_results.metrics.BER);
|
||||
% fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
% else
|
||||
% fprintf('Their Signal: %.1e \n',mlse_results.metrics.BER);
|
||||
% fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
% end
|
||||
|
||||
[vnle_results, mlse_results] = vnle_postfilter_mlse(eq_v, pf_, mlse_, M, Rx_synced, Symbols, Bits, ...
|
||||
"precode_mode", duob_mode, 'showAnalysis', 1, "postFFE", [], "eth_style_symbol_mapping", mapping_style);
|
||||
%% -------------------- DB target --------------------
|
||||
mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,'trellis_states',PAMmapper(M,0).levels);
|
||||
|
||||
mlse_results.metrics.print
|
||||
if our_signal
|
||||
fprintf('Our Signal: %.1e \n',mlse_results.metrics.BER);
|
||||
eq_ = EQ("Ne",[150, 0, 0],"Nb",[0, 0, 0],"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
|
||||
dbt_results = duobinary_target(eq_,mlse_db_, M, Rx_synced, Symbols, Bits, ...
|
||||
"precode_mode", duob_mode, 'showAnalysis', 0, "postFFE", [],"eth_style_symbol_mapping",mapping_style,'decoding_mode',0);
|
||||
|
||||
dbt_results.metrics.print("description",'Duobinary');
|
||||
fprintf('My EQ: %.1e \n',dbt_results.metrics.BER);
|
||||
fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
else
|
||||
fprintf('Their Signal: %.1e \n',mlse_results.metrics.BER);
|
||||
fprintf('Paper: %.1e \n \n',ber_in_paper);
|
||||
end
|
||||
BER_value = dbt_results.metrics.BER;
|
||||
|
||||
%% -------------------- ML-based MLSE (L=2) --------------------
|
||||
% ml_mlse_equalizer = ML_MLSE("epochs_tr",100,"epochs_dd",1, ...
|
||||
|
||||
@@ -0,0 +1,83 @@
|
||||
figure(202120); clf; hold on
|
||||
set(gcf, 'WindowState', 'maximized');
|
||||
|
||||
x = 225:10:285;
|
||||
shift = 0.5;
|
||||
x = [x;x-shift;x+shift;x;x];
|
||||
|
||||
hErr = gobjects(1,4); % Errorbars -> für Legende
|
||||
hLine = gobjects(1,4); % Linien durch Mittelwerte (nicht in Legende)
|
||||
|
||||
for k = 1:4
|
||||
BER = load("C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\BER_PAM_2_Optimal" + string(k) + ".mat");
|
||||
BER_all = BER.BER_num_signal_sweep_matrix;
|
||||
BER_traces = BER_all((k-1)*7+1:k*7,:);
|
||||
|
||||
BER_min = zeros(1,7); BER_avg = zeros(1,7); BER_max = zeros(1,7);
|
||||
for l = 1:7
|
||||
BER_min(l) = min(BER_traces(l,:));
|
||||
BER_avg(l) = mean(BER_traces(l,:));
|
||||
BER_max(l) = max(BER_traces(l,:));
|
||||
end
|
||||
|
||||
% Log-sicherer Floor
|
||||
yFloor = 1e-12;
|
||||
BER_min(BER_min <= 0 | isnan(BER_min) | isinf(BER_min)) = yFloor;
|
||||
BER_max(BER_max <= 0 | isnan(BER_max) | isinf(BER_max)) = yFloor;
|
||||
BER_max = max(BER_max, BER_min);
|
||||
|
||||
% Errorbar-Parameter (asymmetrisch)
|
||||
y = BER_avg;
|
||||
yneg = BER_avg - BER_min;
|
||||
ypos = BER_max - BER_avg;
|
||||
|
||||
% Errorbars (Punkt + Intervall)
|
||||
hErr(k) = errorbar(x(k,:), y, yneg, ypos, 'o', ...
|
||||
'LineWidth', 2.75, 'MarkerSize', 8, 'CapSize', 10);
|
||||
|
||||
% Gestrichelte Linie durch die Mittelwerte (gleiche Farbe)
|
||||
hLine(k) = plot(x(k,:), y, '--o', ...
|
||||
'LineWidth', 2.75, ...
|
||||
'MarkerSize', 8, ...
|
||||
'Color', hErr(k).Color);
|
||||
end
|
||||
|
||||
% Paper-Kurve
|
||||
old_BER = 10.^([-1.5, -1.75, -2, -2.3, -2.6, -2.25, -1.95]);
|
||||
hPaper = plot(x(k+1,:), old_BER, '-o', 'LineWidth', 2.75, 'MarkerSize', 8);
|
||||
|
||||
% FEC-Linien
|
||||
yline(2e-2, ':k', 'LineWidth',1.2);
|
||||
yline(3.8e-3,':b', 'LineWidth',1.2);
|
||||
yline(4.85e-3,':g','LineWidth',1.2);
|
||||
yline(2.2e-4,':r', 'LineWidth',1.2);
|
||||
|
||||
% FEC Labels (FontSize = 22)
|
||||
text(240, 2.3e-2,'o-FEC', 'Color','k','FontSize',22,'Interpreter','latex')
|
||||
text(222, 3e-3,'HD-FEC', 'Color','b','FontSize',22,'Interpreter','latex')
|
||||
text(221, 5.7e-3,'KP4+Hamming', 'Color','g','FontSize',22,'Interpreter','latex')
|
||||
text(232, 2.5e-4,'KP4', 'Color','r','FontSize',22,'Interpreter','latex')
|
||||
|
||||
% Achsen
|
||||
set(gca,'YScale','log'); grid minor
|
||||
ylim([1e-4 5e-1])
|
||||
|
||||
% Schriftgrößen Achsen
|
||||
ax = gca;
|
||||
ax.FontSize = 22;
|
||||
ax.LabelFontSizeMultiplier = 1;
|
||||
|
||||
xlabel('Laser Bias Current [mA]', 'Interpreter','latex', 'FontSize', 22)
|
||||
ylabel('BER', 'Interpreter','latex', 'FontSize', 22)
|
||||
|
||||
% Legende: Errorbar-Handles verwenden (Marker + vertikale Linie in der Legende)
|
||||
lgd = legend([hErr(1) hErr(2) hErr(3) hErr(4) hPaper], ...
|
||||
{'FFE','FFE+PF+MLSE','DB','ML-MLSE','BER Paper'}, ...
|
||||
'Interpreter','latex','Location','southwest');
|
||||
lgd.FontSize = 22;
|
||||
|
||||
% Figure-Style
|
||||
set(gcf, 'Color', 'w');
|
||||
set(gcf, 'Renderer', 'painters');
|
||||
|
||||
hold off
|
||||
@@ -0,0 +1,80 @@
|
||||
figure(202120); clf; hold on
|
||||
set(gcf, 'WindowState', 'maximized'); % automatisch Vollbild
|
||||
|
||||
x = 4:1:8;
|
||||
shift = 0.05;
|
||||
x = [x;x-shift;x;x+shift];
|
||||
|
||||
hErr = gobjects(1,4); % Errorbars -> für Legende
|
||||
hLine = gobjects(1,4); % Linien durch Mittelwerte (nicht in Legende)
|
||||
|
||||
for k = 1:4
|
||||
BER = load("C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\BER_PAM_4_Baud_Rate_Sweep_Optimal_" + string(k) + ".mat");
|
||||
BER_all = BER.BER_num_signal_sweep_matrix;
|
||||
BER_traces = BER_all((k-1)*5+1:k*5,:);
|
||||
|
||||
BER_min = zeros(1,5); BER_avg = zeros(1,5); BER_max = zeros(1,5);
|
||||
for l = 1:5
|
||||
BER_min(l) = min(BER_traces(l,:));
|
||||
BER_avg(l) = mean(BER_traces(l,:));
|
||||
BER_max(l) = max(BER_traces(l,:));
|
||||
end
|
||||
|
||||
% Floor für Log-Plot (muss > 0 sein)
|
||||
yFloor = 1e-7;
|
||||
BER_min(BER_min <= 0 | isnan(BER_min) | isinf(BER_min)) = yFloor;
|
||||
BER_max(BER_max <= 0 | isnan(BER_max) | isinf(BER_max)) = yFloor;
|
||||
BER_max = max(BER_max, BER_min);
|
||||
|
||||
% Errorbar-Parameter (asymmetrisch)
|
||||
y = BER_avg;
|
||||
yneg = BER_avg - BER_min;
|
||||
ypos = BER_max - BER_avg;
|
||||
|
||||
% Errorbars (Punkt + Intervall)
|
||||
hErr(k) = errorbar(x(k,:), y, yneg, ypos, 'o', ...
|
||||
'LineWidth', 2.5, 'MarkerSize', 8, 'CapSize', 10);
|
||||
|
||||
% Gestrichelte Linie durch die Mittelwerte (gleiche Farbe)
|
||||
hLine(k) = plot(x(k,:), y, '--o', ...
|
||||
'LineWidth', 2.5, ...
|
||||
'MarkerSize', 8, ...
|
||||
'Color', hErr(k).Color);
|
||||
end
|
||||
|
||||
% FEC-Linien
|
||||
yline(2e-2, ':k', 'LineWidth',1.2);
|
||||
yline(3.8e-3,':b', 'LineWidth',1.2);
|
||||
yline(4.85e-3,':g','LineWidth',1.2);
|
||||
yline(2.2e-4,':r', 'LineWidth',1.2);
|
||||
|
||||
% FEC Labels (bleiben bei 14)
|
||||
text(3.1,2.4e-2,'o-FEC','Color','k','FontSize',22,'Interpreter','latex')
|
||||
text(3.1,2.7e-3,'HD-FEC','Color','b','FontSize',22,'Interpreter','latex')
|
||||
text(3.1,6.3e-3,'KP4+Hamming','Color','g','FontSize',22,'Interpreter','latex')
|
||||
text(3.1,2.7e-4,'KP4','Color','r','FontSize',22,'Interpreter','latex')
|
||||
|
||||
% Achsen
|
||||
set(gca,'YScale','log'); grid minor
|
||||
ylim([5e-7 5e-1])
|
||||
xlim([3 9])
|
||||
|
||||
% ---- Schriftgrößen: Achsen + Legende = 22 ----
|
||||
ax = gca;
|
||||
ax.FontSize = 22;
|
||||
ax.LabelFontSizeMultiplier = 1;
|
||||
|
||||
xlabel('Baud Rate [GBd]', 'Interpreter','latex', 'FontSize', 22)
|
||||
ylabel('BER', 'Interpreter','latex', 'FontSize', 22)
|
||||
|
||||
% ---- Legende: Errorbar-Handles verwenden (Marker + vertikale Linie) ----
|
||||
lgd = legend([hErr(1) hErr(2) hErr(3) hErr(4)], ...
|
||||
{'FFE','FFE+PF+MLSE','DB','ML-MLSE'}, ...
|
||||
'Interpreter','latex','Location','southwest');
|
||||
lgd.FontSize = 22;
|
||||
|
||||
% ---- Figure "Presentation"-Style ----
|
||||
set(gcf, 'Color', 'w');
|
||||
set(gcf, 'Renderer', 'painters');
|
||||
|
||||
hold off
|
||||
@@ -0,0 +1,84 @@
|
||||
figure(202120); clf; hold on
|
||||
set(gcf, 'WindowState', 'maximized');
|
||||
|
||||
x = 225:10:285;
|
||||
shift = 0.5;
|
||||
x = [x;x-shift;x+shift;x;x];
|
||||
|
||||
hErr = gobjects(1,4); % Errorbars -> für Legende
|
||||
hLine = gobjects(1,4); % Linien durch Mittelwerte (nicht in Legende)
|
||||
|
||||
for k = 1:4
|
||||
BER = load("C:\Users\magf\Desktop\Desktop\Projekte\FSO\Data\BER_PAM_4_Optimal" + string(k) + ".mat");
|
||||
BER_all = BER.BER_num_signal_sweep_matrix;
|
||||
BER_traces = BER_all((k-1)*7+1:k*7,:);
|
||||
|
||||
BER_min = zeros(1,7); BER_avg = zeros(1,7); BER_max = zeros(1,7);
|
||||
for l = 1:7
|
||||
BER_min(l) = min(BER_traces(l,:));
|
||||
BER_avg(l) = mean(BER_traces(l,:));
|
||||
BER_max(l) = max(BER_traces(l,:));
|
||||
end
|
||||
|
||||
% Log-sicherer Floor (falls min=0)
|
||||
yFloor = 1e-12;
|
||||
BER_min(BER_min <= 0 | isnan(BER_min) | isinf(BER_min)) = yFloor;
|
||||
BER_max(BER_max <= 0 | isnan(BER_max) | isinf(BER_max)) = yFloor;
|
||||
BER_max = max(BER_max, BER_min);
|
||||
|
||||
% Errorbar-Parameter (asymmetrisch)
|
||||
y = BER_avg;
|
||||
yneg = BER_avg - BER_min;
|
||||
ypos = BER_max - BER_avg;
|
||||
|
||||
% Errorbars (Punkt + Intervall)
|
||||
hErr(k) = errorbar(x(k,:), y, yneg, ypos, 'o', ...
|
||||
'LineWidth', 2.75, 'MarkerSize', 8, 'CapSize', 10);
|
||||
|
||||
% Gestrichelte Linie durch die Mittelwerte (gleiche Farbe)
|
||||
hLine(k) = plot(x(k,:), y, '--o', ...
|
||||
'LineWidth', 2.75, ...
|
||||
'MarkerSize', 8, ...
|
||||
'Color', hErr(k).Color);
|
||||
end
|
||||
|
||||
% Paper-Kurve
|
||||
old_BER = 10.^([-1.6, -1.85, -2.2, -2.45, -2.3, -2, -1.4]);
|
||||
hPaper = plot(x(k+1,:), old_BER, '-o', 'LineWidth', 2.75, 'MarkerSize', 8);
|
||||
|
||||
% FEC-Linien
|
||||
yline(2e-2, ':k', 'LineWidth',1.2);
|
||||
yline(3.8e-3,':b', 'LineWidth',1.2);
|
||||
yline(4.85e-3,':g','LineWidth',1.2);
|
||||
yline(2.2e-4,':r', 'LineWidth',1.2);
|
||||
|
||||
% FEC Labels (wie bei dir, FontSize = 16)
|
||||
text(221, 2.3e-2,'o-FEC', 'Color','k','FontSize',22,'Interpreter','latex')
|
||||
text(221, 3e-3,'HD-FEC', 'Color','b','FontSize',22,'Interpreter','latex')
|
||||
text(221, 6e-3,'KP4+Hamming', 'Color','g','FontSize',22,'Interpreter','latex')
|
||||
text(221, 2.5e-4,'KP4', 'Color','r','FontSize',22,'Interpreter','latex')
|
||||
|
||||
% Achsen
|
||||
set(gca,'YScale','log'); grid minor
|
||||
ylim([1e-5 5e-1])
|
||||
|
||||
% ---- Schriftgrößen: Achsen + Legende = 22 ----
|
||||
ax = gca;
|
||||
ax.FontSize = 22;
|
||||
ax.LabelFontSizeMultiplier = 1;
|
||||
|
||||
xlabel('Laser Bias Current [mA]', 'Interpreter','latex', 'FontSize', 22)
|
||||
ylabel('BER', 'Interpreter','latex', 'FontSize', 22)
|
||||
|
||||
% Legende: Errorbar-Handles verwenden (Marker + vertikale Linie)
|
||||
lgd = legend([hErr(1) hErr(2) hErr(3) hErr(4) hPaper], ...
|
||||
{'FFE','FFE+PF+MLSE','DB','ML-MLSE','BER Paper'}, ...
|
||||
'Interpreter','latex','Location','southwest');
|
||||
lgd.FontSize = 22;
|
||||
|
||||
% ---- Figure "Presentation"-Style ----
|
||||
set(gcf, 'Color', 'w');
|
||||
set(gcf, 'Units', 'pixels', 'Position', [100 100 1400 900]);
|
||||
set(gcf, 'Renderer', 'painters');
|
||||
|
||||
hold off
|
||||
@@ -1,4 +1,4 @@
|
||||
|
||||
close all;
|
||||
|
||||
if 1
|
||||
|
||||
@@ -8,8 +8,11 @@ if 1
|
||||
% uloops.laser_wavelength = [1293,1297.5,1302,1306.5,1310,1313.4,1318,1322.7,1327.4];
|
||||
uloops.laser_wavelength = [1293];
|
||||
uloops.M = [4];
|
||||
uloops.link_length = [0:2:10]; % 1,2,3,5,6,8,10
|
||||
uloops.link_length = 1;
|
||||
% uloops.link_length = [0:2:10]; % 1,2,3,5,6,8,10
|
||||
uloops.alpha = [0];
|
||||
uloops.duob_mode = db_mode.db_precoded;
|
||||
uloops.decoding_mode = "memoryless";
|
||||
|
||||
wh = DataStorage(uloops);
|
||||
wh.addStorage("ber");
|
||||
@@ -22,8 +25,9 @@ end
|
||||
figure
|
||||
hold on
|
||||
for alpha = uloops.alpha
|
||||
a=wh.getStoValue('ber',1, [300].*1e9 , 1293, 4, uloops.link_length,alpha);
|
||||
ffe = cellfun(@(x) x.ffe_results.metrics.BER, a);
|
||||
a=wh.getStoValue('ber',1, [300].*1e9 , 1293, 4, uloops.link_length,alpha,uloops.duob_mode,uloops.decoding_mode);
|
||||
% ffe = cellfun(@(x) x.ffe_results.metrics.BER, a);
|
||||
ffe = cellfun(@(x) x.dbt_results.metrics.BER, a);
|
||||
plot(uloops.link_length,ffe,'DisplayName',sprintf('Alpha: %d',alpha),'LineStyle','-','HandleVisibility','on');
|
||||
end
|
||||
|
||||
|
||||
@@ -62,7 +62,7 @@ mu_dfe = 0.0004;
|
||||
|
||||
dfe_ = sum(dfe_order)>0;
|
||||
|
||||
duob_mode = db_mode.no_db;
|
||||
% duob_mode = db_mode.no_db;
|
||||
|
||||
%%% change specific parameter if given in varargin
|
||||
% Parse optional input arguments
|
||||
@@ -132,7 +132,7 @@ El_sig = El_sig .* scaling;
|
||||
%%%%% MODULATE E/O CONVERSION %%%%%%
|
||||
[Opt_sig] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",laser_wavelength,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",random_key+1,"alpha",alpha).process(El_sig);
|
||||
|
||||
Opt_sig.spectrum("displayname",'Opt Spectrum','fignum',10,'normalizeTo0dB',1);
|
||||
% Opt_sig.spectrum("displayname",'Opt Spectrum','fignum',10,'normalizeTo0dB',1);
|
||||
|
||||
Opt_sig = Fiber("fsimu",Opt_sig.fs,"fiber_length",link_length,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig);
|
||||
|
||||
@@ -165,7 +165,7 @@ Scpe_sig = Scpe_sig.resample("fs_out",2*fsym);
|
||||
Scpe_sig.signal = Scpe_sig.signal(1:2*length(Symbols));
|
||||
|
||||
%%%%%% Sync Rx signal with reference %%%%%%
|
||||
[Scpe_sig,~] = Scpe_sig.tsynch("reference",Symbols,"fs_ref",fsym,"debug_plots",1);
|
||||
[Scpe_sig,~] = Scpe_sig.tsynch("reference",Symbols,"fs_ref",fsym,"debug_plots",0);
|
||||
|
||||
Scpe_sig = Filter('filtdegree',4,"f_cutoff",Symbols.fs.*0.5,"fs",Scpe_sig.fs,"filterType",filtertypes.gaussian,"active",true).process(Scpe_sig);
|
||||
|
||||
@@ -174,54 +174,54 @@ Scpe_sig = Scpe_sig - mean(Scpe_sig.signal);
|
||||
%%% EQUALIZING
|
||||
|
||||
|
||||
% -------------------- FFE --------------------
|
||||
ffe_order = [50, 0, 0];
|
||||
eq_ffe = EQ("Ne",ffe_order,"Nb",[0,0,0], ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",0);
|
||||
% % -------------------- FFE --------------------
|
||||
% ffe_order = [50, 0, 0];
|
||||
% eq_ffe = EQ("Ne",ffe_order,"Nb",[0,0,0], ...
|
||||
% "training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
% "K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
% "FFEmu",0,"plotfinal",0,"ideal_dfe",0);
|
||||
%
|
||||
% output.ffe_results = ffe(eq_ffe,M,Scpe_sig,Symbols,Tx_bits, ...
|
||||
% "precode_mode",duob_mode,'showAnalysis',0,"postFFE",[], ...
|
||||
% "eth_style_symbol_mapping",0);
|
||||
%
|
||||
% output.ffe_results.metrics.print
|
||||
|
||||
output.ffe_results = ffe(eq_ffe,M,Scpe_sig,Symbols,Tx_bits, ...
|
||||
"precode_mode",duob_mode,'showAnalysis',0,"postFFE",[], ...
|
||||
"eth_style_symbol_mapping",0);
|
||||
|
||||
output.ffe_results.metrics.print
|
||||
|
||||
% -------------------- DFE --------------------
|
||||
eq_dfe = EQ("Ne",ffe_order,"Nb",[2,0,0], ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",0);
|
||||
|
||||
output.dfe_results = ffe(eq_dfe,M,Scpe_sig,Symbols,Tx_bits, ...
|
||||
"precode_mode",duob_mode,'showAnalysis',0,"postFFE",[], ...
|
||||
"eth_style_symbol_mapping",0);
|
||||
|
||||
output.dfe_results.metrics.print("description",'DFE');
|
||||
% % -------------------- DFE --------------------
|
||||
% eq_dfe = EQ("Ne",ffe_order,"Nb",[2,0,0], ...
|
||||
% "training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
% "K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
% "FFEmu",0,"plotfinal",0,"ideal_dfe",0);
|
||||
%
|
||||
% output.dfe_results = ffe(eq_dfe,M,Scpe_sig,Symbols,Tx_bits, ...
|
||||
% "precode_mode",duob_mode,'showAnalysis',0,"postFFE",[], ...
|
||||
% "eth_style_symbol_mapping",0);
|
||||
%
|
||||
% output.dfe_results.metrics.print("description",'DFE');
|
||||
|
||||
|
||||
% -------------------- VNLE + MLSE --------------------
|
||||
pf_ncoeffs = 1;
|
||||
ffe_order3 = [50, 5, 5];
|
||||
eq_v = EQ("Ne",ffe_order3,"Nb",dfe_order, ...
|
||||
"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
|
||||
|
||||
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
|
||||
|
||||
[output.vnle_results, output.mlse_results] = vnle_postfilter_mlse(eq_v, pf_, mlse_, M, Scpe_sig, Symbols, Tx_bits, ...
|
||||
"precode_mode", duob_mode, 'showAnalysis', 0, "postFFE", [], "eth_style_symbol_mapping", 0);
|
||||
% % -------------------- VNLE + MLSE --------------------
|
||||
% pf_ncoeffs = 1;
|
||||
% ffe_order3 = [200, 0, 0];
|
||||
% eq_v = EQ("Ne",ffe_order3,"Nb",dfe_order, ...
|
||||
% "training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
% "K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
|
||||
% "FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
% pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
|
||||
%
|
||||
% mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
|
||||
%
|
||||
% [output.vnle_results, output.mlse_results] = vnle_postfilter_mlse(eq_v, pf_, mlse_, M, Scpe_sig, Symbols, Tx_bits, ...
|
||||
% "precode_mode", duob_mode, 'showAnalysis', 0, "postFFE", [], "eth_style_symbol_mapping", 0);
|
||||
|
||||
|
||||
% -------------------- DB target --------------------
|
||||
mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,'trellis_states',PAMmapper(M,0).levels);
|
||||
ffe_order = [50, 5, 5];
|
||||
ffe_order = [50, 0, 0];
|
||||
eq_ = EQ("Ne",ffe_order,"Nb",dfe_order,"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
|
||||
"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
|
||||
output.dbt_results = duobinary_target(eq_,mlse_db_, M, Scpe_sig, Symbols, Tx_bits, ...
|
||||
"precode_mode", duob_mode, 'showAnalysis', 0, "postFFE", []);
|
||||
"precode_mode", duob_mode, 'showAnalysis', 0, "postFFE", [], "decoding_mode", decoding_mode);
|
||||
|
||||
output.dbt_results.metrics.print("description",'Duobinary');
|
||||
|
||||
|
||||
71
projects/db_minimal_example.m
Normal file
71
projects/db_minimal_example.m
Normal file
@@ -0,0 +1,71 @@
|
||||
% einstellungen
|
||||
M = 2;
|
||||
apply_precode_at_tx = 0;
|
||||
|
||||
% daten erzeugen
|
||||
bitpattern = [];
|
||||
s = RandStream('twister','Seed',1);
|
||||
for i = 1:log2(M)
|
||||
N = 2^(17-1); %length of prbs
|
||||
bitpattern(:,i) = randi(s,[0 1], N, 1);
|
||||
end
|
||||
|
||||
if M == 6
|
||||
bitpattern = reshape(bitpattern',[],1);
|
||||
bitpattern = bitpattern(1:end-mod(length(bitpattern),5));
|
||||
end
|
||||
|
||||
tx_bits = Informationsignal(bitpattern);
|
||||
tx_symbols = PAMmapper(M,0).map(tx_bits);
|
||||
|
||||
if apply_precode_at_tx
|
||||
|
||||
% Precode
|
||||
tx_symbols_precoded = Duobinary().precode(tx_symbols);
|
||||
% Entschiedene Symbole codieren: d_DB(n) = d(n) + d(n-1) (im Fall von PAM4 7 level [0 1 2 3 4 5 6])
|
||||
symbols_db = Duobinary().encode(tx_symbols_precoded);
|
||||
% Entschiedene codierte Symbole decodieren: d_dec(n) = d_DB(n) mod4
|
||||
rx_symbols = Duobinary().decode(symbols_db);
|
||||
bits_rx = PAMmapper(M,0).demap(rx_symbols);
|
||||
|
||||
figure(1)
|
||||
clf
|
||||
hold on
|
||||
stairs(tx_symbols.signal(1:100),'DisplayName','Tx Symbols','LineStyle','-','LineWidth',2);
|
||||
stairs(rx_symbols.signal(1:100),'DisplayName','Rx Symbols','LineStyle',':','LineWidth',1);
|
||||
legend
|
||||
ylim([-2 2])
|
||||
|
||||
|
||||
[~,~,ber,~] = calc_ber(tx_bits.signal,bits_rx.signal,"skip_front",0,"skip_end",0,"returnErrorLocation",1);
|
||||
disp(['BER: ',sprintf('%.1E',ber)]);
|
||||
assert(ber == 0)
|
||||
else
|
||||
|
||||
|
||||
% Entschiedene Symbole codieren: d_DB(n) = d(n) + d(n-1) (im Fall von PAM4 7 level [0 1 2 3 4 5 6])
|
||||
symbols_db = Duobinary().encode(tx_symbols);
|
||||
|
||||
% Entschiedene codierte Symbole decodieren: d_dec(n) = d_DB(n) mod4
|
||||
rx_symbols = Duobinary().decode(symbols_db);
|
||||
bits_rx = PAMmapper(M,0).demap(rx_symbols);
|
||||
|
||||
% ref symbole precoden:
|
||||
tx_symbols_ref = Duobinary().encode(tx_symbols);
|
||||
tx_symbols_ref = Duobinary().decode(tx_symbols_ref);
|
||||
tx_bits_ref = PAMmapper(M,0).demap(tx_symbols_ref);
|
||||
|
||||
% step plot to check visually if symbols overlap
|
||||
figure(1)
|
||||
clf
|
||||
hold on
|
||||
stairs(tx_symbols_ref.signal(1:100),'DisplayName','Tx Symbols','LineStyle','-','LineWidth',2);
|
||||
stairs(rx_symbols.signal(1:100),'DisplayName','Rx Symbols','LineStyle',':','LineWidth',1);
|
||||
legend
|
||||
ylim([-2 2])
|
||||
|
||||
|
||||
[~,~,ber,~] = calc_ber(tx_bits_ref.signal,bits_rx.signal,"skip_front",1,"skip_end",1,"returnErrorLocation",1);
|
||||
disp(['BER: ',sprintf('%.1E',ber)]);
|
||||
assert(ber == 0)
|
||||
end
|
||||
65
test/test_db_minimal_example.m
Normal file
65
test/test_db_minimal_example.m
Normal file
@@ -0,0 +1,65 @@
|
||||
|
||||
M = 4;
|
||||
apply_precode_at_tx = 1;
|
||||
|
||||
bitpattern = [];
|
||||
s = RandStream('twister','Seed',1);
|
||||
for i = 1:log2(M)
|
||||
N = 2^(17-1); %length of prbs
|
||||
bitpattern(:,i) = randi(s,[0 1], N, 1);
|
||||
end
|
||||
|
||||
if M == 6
|
||||
bitpattern = reshape(bitpattern',[],1);
|
||||
bitpattern = bitpattern(1:end-mod(length(bitpattern),5));
|
||||
end
|
||||
|
||||
bits = Informationsignal(bitpattern);
|
||||
|
||||
symbols = PAMmapper(M,0).map(bits);
|
||||
|
||||
if apply_precode_at_tx
|
||||
symbols_tx = Duobinary().precode(symbols);
|
||||
else
|
||||
symbols_tx = symbols;
|
||||
end
|
||||
disp(['Tx Sequenz: -- RMS:',sprintf('%.1f',rms(symbols_tx.signal)),' - - Levels -',num2str(numel(unique(symbols_tx.signal)))]);
|
||||
unique(symbols_tx.signal)
|
||||
disp('- - - - - - - - - -');
|
||||
|
||||
symbols_tx.signal = awgn(symbols_tx.signal,20,"measured",1);
|
||||
% show2Dconstellation(symbols_tx,symbols_tx,"displayname",'VNLE Out','fignum',2241);
|
||||
|
||||
|
||||
if apply_precode_at_tx
|
||||
% Entschiedene Symbole codieren: d_DB(n) = d(n) + d(n-1) (im Fall von PAM4 7 level [0 1 2 3 4 5 6])
|
||||
symbols_db = Duobinary().encode(symbols_tx);
|
||||
|
||||
disp(['DB encoded -- RMS:',sprintf('%.1f',rms(symbols_db.signal)),' - - Levels -',num2str(numel(unique(symbols_db.signal)))]);
|
||||
unique(symbols_db.signal)
|
||||
disp('- - - - - - - - - -');
|
||||
|
||||
% Entschiedene codierte Symbole decodieren: d_dec(n) = d_DB(n) mod4
|
||||
symbols_rx = Duobinary().decode(symbols_db);
|
||||
else
|
||||
symbols_db = Duobinary().encode(symbols_tx);
|
||||
symbols_rx = Duobinary().decode(symbols_db);
|
||||
end
|
||||
|
||||
% Vergleichen von b(n) und d_dec(n)
|
||||
bits_rx = PAMmapper(M,0).demap(symbols_rx);
|
||||
disp(['Wieder normal -- RMS:',sprintf('%.1f',rms(symbols_rx.signal)),' - - Levels -',num2str(numel(unique(symbols_rx.signal)))]);
|
||||
unique(symbols_rx.signal)
|
||||
disp('- - - - - - - - - -');
|
||||
|
||||
|
||||
[~,~,ber,~] = calc_ber(bits.signal,bits_rx.signal,"skip_front",10,"skip_end",10,"returnErrorLocation",1);
|
||||
|
||||
disp(['BER: ',sprintf('%.1E',ber),' - - PAM-',num2str(M)]);
|
||||
|
||||
figure()
|
||||
subplot(1,2,1)
|
||||
histogram(symbols_tx.signal,100,'Normalization','count')
|
||||
|
||||
subplot(1,2,2)
|
||||
histogram(symbols_db.signal,100,'Normalization','count')
|
||||
Reference in New Issue
Block a user