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Many changes here and there. I lost track... :-(

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Current work is on MLSE and SD Decoding etc. MLSE is currently not 100% working, the scalings are maybe off?!
This commit is contained in:
Silas Oettinghaus
2025-08-11 07:42:04 +02:00
parent 09d9e5011c
commit 5dbc48abc0
37 changed files with 1506 additions and 570 deletions
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34
Functions/EQ_structures/dsp_runid.m
View File

@@ -26,13 +26,15 @@ try
% Initialize database connection
database = DBHandler("dataBase", [options.dataBase], "type", options.database_type );
% 2. Check if an equalizer configuration with the same hash exists
queryStr = sprintf('SELECT COUNT(DISTINCT eq_id) AS unique_eq_count, COUNT(*) AS entries_for_run FROM `Results` WHERE run_id = %d', run_id);
existing_results = database.fetch(queryStr);
if existing_results.unique_eq_count >= 6
if (existing_results.entries_for_run / existing_results.unique_eq_count) > 8
return
if 0
% 2. Check if an equalizer configuration with the same hash exists
queryStr = sprintf('SELECT COUNT(DISTINCT eq_id) AS unique_eq_count, COUNT(*) AS entries_for_run FROM `Results` WHERE run_id = %d', run_id);
existing_results = database.fetch(queryStr);
if existing_results.unique_eq_count >= 6
if (existing_results.entries_for_run / existing_results.unique_eq_count) > 5
return
end
end
end
@@ -94,8 +96,8 @@ try
adaption= 1;
use_dd_mode = 1;
use_ffe = 1;
use_dfe = 1;
use_ffe = 0;
use_dfe = 0;
use_vnle_mlse = 1;
use_dbtgt = 1;
use_dbenc = 1;
@@ -139,6 +141,10 @@ try
% Preprocess signal
Scpe_sig = preprocessSignal(Scpe_cell{r}, Symbols, fsym);
% Scpe_sig.spectrum("fignum",2223,"normalizeTo0dB",1,"displayname",'Rx');
% Scpe_sig.spectrum("fignum",22233,"normalizeTo0dB",0,"displayname",'Rx');
% Scpe_sig.eye(fsym,M,"fignum",1024);
if duob_mode ~= db_mode.db_encoded
if use_ffe
@@ -146,19 +152,19 @@ try
ffe_order = [50, 0, 0];
eq_dfe = 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);
dfe_results = ffe(eq_dfe,M,Scpe_sig,Symbols,Tx_bits,...
ffe_results = ffe(eq_dfe,M,Scpe_sig,Symbols,Tx_bits,...
"precode_mode",duob_mode,...
'showAnalysis',0,...
"postFFE",[],...
"eth_style_symbol_mapping",0);
output.ffe_package{r} = dfe_results;
output.ffe_package{r} = ffe_results;
dfe_results.metrics.print;
dfe_results.config.equalizer_structure = "ffe";
ffe_results.metrics.print;
ffe_results.config.equalizer_structure = "ffe";
if options.append_to_db
database.addProcessingResult(run_id, dfe_results.metrics, dfe_results.config);
database.addProcessingResult(run_id, ffe_results.metrics, ffe_results.config);
end
end

6
Functions/EQ_structures/duobinary_target.m
View File

@@ -110,12 +110,14 @@ if options.showAnalysis
rx_signal.spectrum("normalizeTo0dB",1,"fignum",250,"displayname","Rx Spectrum");
Duobinary().encode(tx_symbols).spectrum("normalizeTo0dB",1,"fignum",250,"displayname","DB encoded reference");
Duobinary().encode(tx_symbols).spectrum("normalizeTo0dB",1,"fignum",10,"displayname","DB encoded reference");
showEQNoisePSD(eq_noise,"fignum",250,"displayname",'Duobinary Target Noise after Equalization');
fprintf('DB tgt BER: %.2e \n',ber);
fprintf('DB tgt BER: %.2e \n',ber_db);
figure(341); clf;
showLevelHistogram(eq_signal, db_ref_sequence, "fignum", 341);
end

17
Functions/EQ_structures/vnle_postfilter_mlse.m
View File

@@ -43,6 +43,7 @@ end
% Hard decision on VNLE output
eq_signal_hd = PAMmapper(M, 0).quantize(eq_signal_sd);
eq_signal_hd.spectrum("displayname",'after full response FFE','fignum',2025,'normalizeTo0dB',1);
% Process through postfilter and MLSE
[mlse_sig_sd,whitened_noise] = pf_.process(eq_signal_sd, eq_noise);
@@ -216,10 +217,24 @@ end
function displayAnalysis(eq_noise, whitened_noise, eq_signal_sd, rx_signal, eq_, pf_, mlse_, tx_symbols, M, postFFE)
% rx_signal.spectrum("displayname",'Rx Signal','fignum',100,'normalizeTo0dB',1);
% Display analysis plots and metrics
figure(336);
hold on;
eq_signal_sd.spectrum("displayname",'Equalized Signal','fignum',336,'normalizeTo0dB',0);
eq_noise.spectrum("displayname",'Equalized Signal','fignum',336,'normalizeTo0dB',0);
showEQNoisePSD(eq_noise, "fignum", 336, "displayname", 'Residual Noise after VNLE', 'postfilter_taps', pf_.coefficients);
for t = 1:4
pf_.ncoeff = t;
[~,~] = pf_.process(eq_signal_sd, eq_noise);
showEQNoisePSD(eq_noise, "fignum", 3388, "displayname", 'Residual Noise after VNLE', 'postfilter_taps', pf_.coefficients);
end
tx_symbols.spectrum("displayname",'Equalized Signal','fignum',1234,'normalizeTo0dB',1);
if ~isempty(postFFE)
showEQcoefficients('n1', postFFE.e, "displayname", 'Coefficients', 'fignum', 338);
end
@@ -234,7 +249,7 @@ showLevelHistogram(eq_signal_sd, tx_symbols, "fignum", 341);
warning off
showLevelScatter(eq_signal_sd, tx_symbols, "fignum", 400);
showLevelScatter(rx_signal.resample("fs_out", tx_symbols.fs), tx_symbols, "fignum", 401);
% showLevelScatter(rx_signal.resample("fs_out", tx_symbols.fs), tx_symbols, "fignum", 401);
drawnow;
warning on