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BCJR implementation

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WDM code added (Pol Cont., Opt MUX/DEMUX, Opt Atten, DP_Fiber) -> the codebase is not optimized to always work with dp signals!
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Silas Oettinghaus
2025-09-17 13:58:58 +02:00
parent f4a22d23a2
commit 4099f6820f
37 changed files with 3643 additions and 593 deletions
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81
Functions/EQ_structures/dsp_runid.m
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@@ -96,11 +96,11 @@ try
adaption= 1;
use_dd_mode = 1;
use_ffe = 0;
use_dfe = 0;
use_ffe = 1;
use_dfe = 1;
use_vnle_mlse = 1;
use_dbtgt = 1;
use_dbenc = 1;
use_dbenc = 0;
addProcessingResultToDatabase = 0;
@@ -125,13 +125,12 @@ try
%
eq_ = EQ("Ne",ffe_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);
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
% mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels);
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,"adaption_technique","lms");
eq_post =FFE("epochs_tr",5,"epochs_dd",2,"len_tr",2^13,"mu_dd",mu_dd,"mu_tr",mu_tr,"order",25,"sps",2,"decide",0, "adaption",adaption_method(adaption),"dd_mode",use_dd_mode);
% Duobinary signaling (db encoded)
mlse_db_enc = MLSE("DIR", [1,1], "duobinary_output", 0, "M", M, "trellis_states", PAMmapper(M,0).levels);
eq_db_enc = EQ("Ne", ffe_order, "Nb", dfe_order, "training_length", len_tr, ...
@@ -194,60 +193,78 @@ try
if use_vnle_mlse
pf_ncoeffs = 1;
ffe_order = [50, 5, 5];
eq_ = EQ("Ne",ffe_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);
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
% mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
useviterbi = 0;
if useviterbi
mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
else
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
end
[ffe_results, mlse_results] = vnle_postfilter_mlse(eq_, pf_, mlse_, M, Scpe_sig, Symbols, Tx_bits, ...
"precode_mode", duob_mode,...
'showAnalysis', 1, ...
'showAnalysis', 0, ...
"postFFE", [],...
"eth_style_symbol_mapping", 0);
ffe_results.metrics.print;
ffe_results.config.equalizer_structure = "vnle";
mlse_results.metrics.print;
output.mlse_package{r} = mlse_results;
output.vnle_package{r} = ffe_results;
if options.append_to_db
database.addProcessingResult(run_id, mlse_results.metrics, mlse_results.config);
database.addProcessingResult(run_id, ffe_results.metrics, ffe_results.config);
end
pf_ncoeffs = 2;
eq_ = EQ("Ne",ffe_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);
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
% mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
% pf_ncoeffs = 2;
% eq_ = EQ("Ne",ffe_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);
% pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
% % mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
% mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
%
% [ffe_results, mlse_results] = vnle_postfilter_mlse(eq_, pf_, mlse_, M, Scpe_sig, Symbols, Tx_bits, ...
% "precode_mode", duob_mode,...
% 'showAnalysis', 0, ...
% "postFFE", [],...
% "eth_style_symbol_mapping", 0);
%
% ffe_results.metrics.print;
% mlse_results.metrics.print;
%
% output.mlse_package{r} = mlse_results;
% output.vnle_package{r} = ffe_results;
%
% if options.append_to_db
% database.addProcessingResult(run_id, mlse_results.metrics, mlse_results.config);
% database.addProcessingResult(run_id, ffe_results.metrics, ffe_results.config);
% end
[ffe_results, mlse_results] = vnle_postfilter_mlse(eq_, pf_, mlse_, M, Scpe_sig, Symbols, Tx_bits, ...
"precode_mode", duob_mode,...
'showAnalysis', 1, ...
"postFFE", [],...
"eth_style_symbol_mapping", 0);
ffe_results.metrics.print;
mlse_results.metrics.print;
output.mlse_package{r} = mlse_results;
output.vnle_package{r} = ffe_results;
if options.append_to_db
database.addProcessingResult(run_id, mlse_results.metrics, mlse_results.config);
database.addProcessingResult(run_id, ffe_results.metrics, ffe_results.config);
end
end
if use_dbtgt
useviterbi = 0;
if useviterbi
mlse_db_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
else
mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels);
end
ffe_order = [50, 5, 5];
eq_ = EQ("Ne",ffe_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);
dbt_results = duobinary_target(eq_, mlse_db_, M, Scpe_sig, Symbols, Tx_bits, ...
"precode_mode", duob_mode, ...
'showAnalysis', 0,...
"postFFE", []);
dbt_results.metrics.print;
output.dbtgt_package{r} = dbt_results;
if options.append_to_db