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chirped WDM analsyis

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minor stuff in FSO link with Magnus
This commit is contained in:
silas (home)
2026-01-12 08:12:42 +01:00
parent 062c5dfbaf
commit dd6094d51e
5 changed files with 389 additions and 184 deletions
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40
projects/FSO_transmission/first_analysis.m
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@@ -81,9 +81,23 @@ Pform = Pulseformer("fsym",fsym,"fdac",2*fsym,"pulse","rrc","pulselength",16,"al
Rx_matched = Pform.process(Scope_sig);
Rx_matched.spectrum("displayname",'Signal after matched filter','fignum',1);
% timing sync -> at this point we still have no symbol timing recovery, we
% try to do this with 2sps EQ!
[~,Rx_synced_cell,inverted,sequenceFound,sequenceStarts] = Rx_matched.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
%%
sys = comm.SymbolSynchronizer('TimingErrorDetector', 'Gardner (non-data-aided)', ...
'SamplesPerSymbol', 2, ...
'DampingFactor', 0.7, ...
'NormalizedLoopBandwidth', 0.01);
Rx_symbolsync = Rx_matched;
[Rx_symbolsync.signal, timing_error] = sys(Rx_matched.signal);
plot(timing_error); % If this is a ramp, you have drift!
%% timing sync -> at this point we still have no symbol timing recovery, we
% % try to do this with 2sps EQ!
[~,Rx_synced_cell,inverted,sequenceFound,sequenceStarts] = Rx_symbolsync.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
%% not working..
Rx_synced = Rx_synced_cell{1};
@@ -136,6 +150,22 @@ mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0,"eth_styl
[vnle_results, mlse_results] = vnle_postfilter_mlse(eq_v, pf_, mlse_, M, Rx_synced, Symbols, Bits, ...
"precode_mode", duob_mode, 'showAnalysis', 1, "postFFE", [], "eth_style_symbol_mapping", mapping_style);
mlse_results.metrics.print
mlse_results.metrics.print("description",'MLSE')
fprintf('My EQ: %.1e \n',mlse_results.metrics.BER);
fprintf('Paper: %.1e \n \n',ber_in_paper);
fprintf('Paper: %.1e \n \n',ber_in_paper);
%% -------------------- DB target --------------------
mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,'trellis_states',PAMmapper(M,0).levels);
eq_ = EQ("Ne",[50, 5, 5],"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",1);
dbt_results = duobinary_target(eq_,mlse_db_, M, Rx_synced, Symbols, Bits, ...
"precode_mode", duob_mode, 'showAnalysis', 0, "postFFE", [],"eth_style_symbol_mapping",mapping_style);
dbt_results.metrics.print("description",'Duobinary');
mlse_results.metrics.print
fprintf('My EQ: %.1e \n',dbt_results.metrics.BER);
fprintf('Paper: %.1e \n \n',ber_in_paper);