3676d92b30
+ 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)
115 lines
3.5 KiB
Matlab
115 lines
3.5 KiB
Matlab
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
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end
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end
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