+++ 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
2026-03-05 10:41:21 +01:00
parent 2a724b833f
commit 3676d92b30
32 changed files with 2307 additions and 232 deletions

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classdef Electrical_Trace_BiDi < handle
properties(Access=public)
file_path
fsym
rolloff
K_over
plot
test
S_test
end
methods(Access=public)
function obj = Electrical_Trace_BiDi(options)
arguments(Input)
options.file_path = 'C:\Users\magf\Desktop\Desktop\MATLAB-Zeugs\COM Test\Mellitzz\TA_6002_6003_FX_B6_C6_B7_C7_Terminated.s4p'
options.fsym = 0;
options.rolloff = 0;
options.K_over = 1;
options.plot = 0;
options.test = 0;
options.S_test = [0,1;1,0];
end
fn = fieldnames(options);
for n = 1:numel(fn)
obj.(fn{n}) = options.(fn{n});
end
end
function [b_1,b_2] = process(obj, a_1, a_2)
% Rx Signal Calculation Using S-Paramters For a 2-Port Network
% [B_1(f); B_2(f)] = [S_11(f), S_12(f); S_21(f), S_22(f)] * [A_1(f); A_2(f)]
% Initialize Rx Time Domain Signals
b_1 = a_2;
b_2 = a_1;
% Loading and Extract S-Paramters
net = sparameters(obj.file_path);
f_s = net.Frequencies(:);
if ~obj.test
S2 = net.Parameters(1:2, 1:2, :);
else
S2 = repmat(obj.S_test,1,1,size(f_s,1));
end
S11_s = squeeze(S2(1,1,:));
S12_s = squeeze(S2(1,2,:));
S21_s = squeeze(S2(2,1,:));
S22_s = squeeze(S2(2,2,:));
% Setup Time Domain Signals
x1 = a_1.signal(:);
x2 = a_2.signal(:);
N = length(x1);
assert(length(x2)==N, 'a_1 and a_2 must have same length');
% Extract Time Domain Signal Frequencies
if obj.fsym == 0 && obj.rolloff == 0 && obj.K_over == 1
Fs = a_1.fs;
else
Fs = (1+obj.rolloff)*obj.fsym;
end
% Calculate Frequency Domain Signals
A1 = fft(x1);
A2 = fft(x2);
% Calculate Frequency Axis [-Fs/2,...,Fs/2]
f_fft = (0:N-1).' * (Fs/N);
f_signed = f_fft;
idxNeg = f_signed > Fs/2;
f_signed(idxNeg) = f_signed(idxNeg) - Fs; % Now in (-Fs/2, Fs/2]
% Absolute Value Used for Interpolation
f_pos = abs(f_signed);
% Interpolate S-Parameters onto f_pos
S11_p = interp1(f_s, S11_s, f_pos, 'linear', 'extrap');
S12_p = interp1(f_s, S12_s, f_pos, 'linear', 'extrap');
S21_p = interp1(f_s, S21_s, f_pos, 'linear', 'extrap');
S22_p = interp1(f_s, S22_s, f_pos, 'linear', 'extrap');
% Apply Hermitian Symmetry: S(-f) = conj(S(f))
S11 = S11_p; S12 = S12_p; S21 = S21_p; S22 = S22_p;
S11(idxNeg) = conj(S11_p(idxNeg));
S12(idxNeg) = conj(S12_p(idxNeg));
S21(idxNeg) = conj(S21_p(idxNeg));
S22(idxNeg) = conj(S22_p(idxNeg));
% Compute Rx Frequency Domain Signals
B1 = S11 .* A1 + S12 .* A2;
B2 = S21 .* A1 + S22 .* A2;
% Calculate Rx Time Domain Signals
b_1.signal = ifft(B1, 'symmetric');
b_2.signal = ifft(B2, 'symmetric');
if obj.plot
rfplot(net)
end
end
end
end