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commit old stuff from lab

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Silas Labor Zizou
2025-04-16 09:55:32 +02:00
parent 909cd86913 e407c8953d
commit 7d0a634b87
28 changed files with 728 additions and 60 deletions
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3
Functions/EQ_structures/duobinary_signaling.m
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@@ -17,6 +17,7 @@ if ~isempty(options.postFFE)
[eq_signal,eq_noise] = options.postFFE.process(eq_signal,tx_symbols);
end
eq_signal.eye(eq_signal.fs,M,"fignum",340);
eq_signal = mlse_.process(eq_signal);
@@ -62,7 +63,7 @@ equalizerConfigDBsignaling = struct( ...
'target_constellation', jsonencode(round(unique(tx_symbols.signal),5)), ... % Beispielhafter Target-String
'db_target', 1, ... % 0 oder 1
'diff_precode', 1, ... % 0 oder 1
'postFFE', ~isempty(options.postFFE), ... % Beispielwert
'postFFE', double(~isempty(options.postFFE)), ... % Beispielwert
'NpostFFE', npostFFE, ... % Beispielwert
'Ne1', eq_.Ne(1), ... % Feedforward Koeffizienten 1. Ordnung
'Ne2', eq_.Ne(2), ... % Feedforward Koeffizienten 2. Ordnung

17
Functions/EQ_structures/vnle_postfilter_mlse.m
View File

@@ -99,6 +99,8 @@ end
[gmi_vnle] = calc_air(eq_signal_sd,tx_symbols,"skip_front",10000,"skip_end",10000);
air_vnle = tx_symbols.fs .* floor(log2(double(M))*10)/10 .* gmi_vnle ./ log2(double(M));
[evm_vnle_total,evm_vnle_lvl] = calc_evm(eq_signal_sd,tx_symbols);
[std_vnle_total,std_vnle_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);
% METRICS OF MLSE (HD-VITERBI)
pf_.ncoeff = 1;
@@ -127,6 +129,10 @@ resultsVNLE = struct( ...
'numBitErr_precoded', errors_vnle_diff_precoded, ... % Beispiel: 120 Bitfehler
'SNR', snr_vnle, ... % Beispielhafte SNR
'SNR_level', jsonencode(snr_vnle_lvl), ... % SNR-Level als JSON-codiertes Array
'STD', std_vnle_total, ...
'STD_level', jsonencode(std_vnle_lvl),...
'STDrx' , std_rxraw_total, ...
'STDrx_level', jsonencode(std_rxraw_lvl),...
'GMI', gmi_vnle, ... % Beispielhafter GMI-Wert
'AIR', air_vnle, ... % Beispielhafter AIR-Wert
'EVM', evm_vnle_total, ... % Beispielhafte EVM
@@ -147,7 +153,7 @@ equalizerConfigVNLE = struct( ...
'target_constellation', jsonencode(round(unique(tx_symbols.signal),5)), ... % Beispielhafter Target-String
'db_target', 0, ... % 0 oder 1
'diff_precode', int32(options.precode_mode), ... % 0 oder 1
'postFFE', ~isempty(options.postFFE), ... % Beispielwert
'postFFE', double(~isempty(options.postFFE)), ... % Beispielwert
'NpostFFE', npostFFE, ... % Beispielwert
'Ne1', eq_.Ne(1), ... % Feedforward Koeffizienten 1. Ordnung
'Ne2', eq_.Ne(2), ... % Feedforward Koeffizienten 2. Ordnung
@@ -202,7 +208,7 @@ equalizerConfigMLSE = struct( ...
'target_constellation', jsonencode(round(unique(tx_symbols.signal),5)), ... % Beispielhafter Target-String
'db_target', 0, ... % 0 oder 1
'diff_precode', int32(options.precode_mode), ... % 0 oder 1
'postFFE', ~isempty(options.postFFE), ... % Beispielwert
'postFFE', double(~isempty(options.postFFE)), ... % Beispielwert
'NpostFFE', npostFFE, ... % Beispielwert
'Ne1', eq_.Ne(1), ... % Feedforward Koeffizienten 1. Ordnung
'Ne2', eq_.Ne(2), ... % Feedforward Koeffizienten 2. Ordnung
@@ -234,9 +240,12 @@ eq_package.resultsMLSE = resultsMLSE;
eq_package.equalizerConfigVNLE = equalizerConfigVNLE;
eq_package.equalizerConfigMLSE = equalizerConfigMLSE;
% eq_package.vnle_out = eq_signal_sd;
if options.showAnalysis
% fprintf(['VNLE EVM lvl: ',repmat('%.3f ',1,numel(evm_lvl)),' \n'],evm_lvl);
% fprintf('VNLE BER: %.2e \n',ber_vnle);
@@ -264,6 +273,10 @@ if options.showAnalysis
figure(341);clf;
showLevelHistogram(eq_signal_sd,tx_symbols,"fignum",341);
showLevelScatter(eq_signal_sd,tx_symbols,"fignum",400);
showLevelScatter(rx_signal.resample("fs_out",tx_symbols.fs),tx_symbols,"fignum",401);
% autoArrangeFigures(3,3,2)