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ML Equalizer works now.

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Not yet perfectly integrated into all the routines
This commit is contained in:
Silas Oettinghaus
2025-11-12 09:24:02 +01:00
parent 39bc8243fc
commit 0080cb2264
44 changed files with 5289 additions and 2868 deletions
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40
Functions/Job_Processing/configureEqualizers_remove.m
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@@ -1,40 +0,0 @@
function [eq_, pf_, mlse_, mlse_db_, eq_post] = configureEqualizers(M, len_tr, vnle_order, dfe_order, mu_dc, mu_ffe, mu_dfe, pf_ncoeffs)
% CONFIGUREEQUALIZERS Creates and configures equalizer objects
%
% Inputs:
% M - PAM level
% len_tr - Training length
% vnle_order - Array with orders for VNLE [order1, order2, order3]
% dfe_order - Array with orders for DFE
% mu_dc - DC adaptation rate
% mu_ffe - Array with adaptation rates for FFE [mu1, mu2, mu3]
% mu_dfe - Adaptation rate for DFE
% pf_ncoeffs - Number of coefficients for postfilter
%
% Outputs:
% eq_ - Configured EQ object
% pf_ - Configured Postfilter object
% mlse_ - Configured MLSE_viterbi object
% mlse_db_ - Configured MLSE_viterbi object for duobinary
% eq_post - Configured FFE object for post-processing
% Configure main equalizer
eq_ = EQ("Ne", vnle_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);
% Configure postfilter
pf_ = Postfilter("ncoeff", pf_ncoeffs, "useBurg", 1);
% Configure MLSE objects
mlse_ = MLSE_viterbi("duobinary_output", 0, 'M', M, ...
'trellis_states', PAMmapper(M,0).levels);
mlse_db_ = MLSE_viterbi("DIR", [1,1], "duobinary_output", 0, ...
"M", M, "trellis_states", PAMmapper(M,0).levels);
% Configure post-FFE
eq_post = FFE("epochs_tr", 5, "epochs_dd", 5, "len_tr", 4096*2, ...
"mu_dd", 1e-4, "mu_tr", 0, "order", 2001, ...
"sps", 1, "decide", 0);
end

6
Functions/Job_Processing/preprocessSignal.m
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@@ -16,9 +16,9 @@ Scpe_sig = Scpe_sig.resample("fs_out", 2*fsym);
[Scpe_sig, ~] = Scpe_sig.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 0);
% Apply Gaussian filter
% Scpe_sig = Filter('filtdegree', 4, "f_cutoff", Symbols.fs.*0.6, ...
% "fs", Scpe_sig.fs, "filterType", filtertypes.gaussian, ...
% "active", true).process(Scpe_sig);
Scpe_sig = Filter('filtdegree', 4, "f_cutoff", Symbols.fs.*0.6, ...
"fs", Scpe_sig.fs, "filterType", filtertypes.gaussian, ...
"active", true).process(Scpe_sig);
% Remove DC offset
Scpe_sig = Scpe_sig - mean(Scpe_sig.signal);

1
Functions/Job_Processing/submitJobs.m
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@@ -209,6 +209,7 @@ wh = submit_options.wh;
wh.addValueToStorageByLinIdx(val.vnle_package, 'vnle_package', jobIndex);
wh.addValueToStorageByLinIdx(val.dbtgt_package,'dbtgt_package',jobIndex);
wh.addValueToStorageByLinIdx(val.dbenc_package,'dbenc_package',jobIndex);
wh.addValueToStorageByLinIdx(val.mlmlse_package,'mlmlse_package',jobIndex);
end
end
function p = setupParallelPool(numWorkers, idleTimeout)