Additions:
- Correction of the weighted DFE function in EQ.m - Some evaluation scripts for FSO Data
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magf
@@ -98,7 +98,7 @@ H_transfer = Rx_spectrum.signal./Tx_spectrum.signal;
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H_inv = 1./H_transfer;
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%Number of Samples/Symbol after Matched Filter
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Kov = 14;
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Kov = 40;
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Scope_sig = Scope_sig.resample('fs_in',fs,'fs_out',Kov*fsym);
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@@ -114,7 +114,7 @@ Rx_matched.spectrum("displayname",'Signal after matched filter','fignum',1);
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data_tr_mf = Electricalsignal(data_tr_mf.Results, "fs", fsym);
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[~,Rx_synced_cell_tr_mf,inverted_tr_mf,sequenceFound_tr_mf,sequenceStarts_tr_mf] = data_tr_mf.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
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Rx_tr_mf = Rx_synced_cell_tr_mf{1};
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Rx_tr_mf = Rx_synced_cell_tr_mf{11};
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% timing sync -> at this point we still have no symbol timing recovery, we
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% try to do this with 2sps EQ!
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@@ -123,7 +123,7 @@ Rx_tr_mf = Rx_synced_cell_tr_mf{1};
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% Rx_matched = Rx_matched.resample("fs_out",2*fsym);
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[~,Rx_synced_cell,inverted,sequenceFound,sequenceStarts] = Rx_matched.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
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Rx_matched_1 = Rx_synced_cell{1};
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Rx_matched_1 = Rx_synced_cell{11};
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Rx_matched_original = Rx_synced_cell{1};
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Rx_matched_original.signal = resample(Rx_matched_original.signal,1,Kov);
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@@ -135,14 +135,15 @@ Time_Rec = 1;
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if Time_Rec
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% [Rx_Time_Rec, Timing_Error] = Timing_Recovery("modulation", 'PAM/PSK/QAM', "timing_error_detector",'Gardner (non-data-aided)','sps',Kov,'damping_factor',1,'normalized_loop_bandwidth',1e-4,'detector_gain',2.7).process(Rx_matched_1);
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% [Rx_Time_Rec, Timing_Error_MG] = Godard_Timing_Recovery('mode',3,'num_blocks',1,'fft_length',length(Rx_matched_1),'sps',Kov,'rolloff',0.6,'mu',-0.2,'Ki',1e-4).process(Rx_matched_1);
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% [Rx_Time_Rec, Timing_Error_MG] = Godard_Timing_Recovery('mode',2,'num_blocks',1,'fft_length',length(Rx_matched_1),'sps',Kov,'rolloff',0.6,'mu',-0.2,'Ki',1e-4).process(Rx_matched_1);
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% Rx_Time_Rec = Rx_Time_Rec.resample('fs_in',Kov*fsym,'fs_out',fsym);
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Rx_Time_Rec = MaxVar_Timing_Recovery('mode',0,'fsym',fsym,'fadc',Kov*fsym,'num_tau',Kov*128,'sps',Kov,'comp_signal',Rx_tr_mf,'comp_mode',0).process(Rx_matched_1);
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Rx_Time_Rec = MaxVar_Timing_Recovery('mode',0,'fsym',fsym,'fadc',Kov*fsym,'num_tau',Kov*2048,'sps',Kov,'comp_signal',Rx_tr_mf,'comp_mode',0).process(Rx_matched_1);
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sps = 1;
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else
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Rx_Time_Rec = Rx_matched_1;
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sps = 1;
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end
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@@ -188,7 +189,7 @@ for our_signal = 1
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end
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% Rx_synced = Rx_Time_Rec;
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% Rx_synced = Rx_synced_cell{1};
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len_tr = 4096*2;
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len_tr = 4096*4;
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mu_ffe1 = 0.0001;
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mu_ffe2 = 0.0008;
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mu_ffe3 = 0.001;
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@@ -232,40 +233,41 @@ for our_signal = 1
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% end
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%% -------------------- VNLE + MLSE --------------------
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% pf_ncoeffs = 4;
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% eq_v = EQ("Ne",[300, 0, 0],"Nb",[0, 0, 0], ...
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% "training_length",len_tr,"training_loops",5,"dd_loops",5, ...
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% "K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
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% "FFEmu",0,"plotfinal",0,"ideal_dfe",1, ...
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% 'weighted_DFE',0,'weighted_DFE_d_min',0.5,'weighted_DFE_mode','R2','weighted_DFE_I_mode',[5,0.5,0.6]);
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% % eq_v = FFE_DFE('ffe_order',300,'dfe_order',5,'len_tr',len_tr,'epochs_tr',5,'epochs_dd',5, ...
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% % 'ffe_mu_dd',mu_ffe,'ffe_mu_tr',0,'dfe_mu_dd',mu_dfe,'dfe_mu_tr',0.005,'sps',sps,'decide',0);
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% pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
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% mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0,"eth_style",mapping_style).levels);
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%
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% [vnle_results, mlse_results] = vnle_postfilter_mlse(eq_v, pf_, mlse_, M, Rx_synced, Symbols, Bits, ...
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% "precode_mode", duob_mode, 'showAnalysis', 1, "postFFE", [], "eth_style_symbol_mapping", mapping_style);
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%
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% mlse_results.metrics.print
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% if our_signal
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% fprintf('Our Signal: %.1e \n',mlse_results.metrics.BER);
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% fprintf('Paper: %.1e \n \n',ber_in_paper);
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% else
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% fprintf('Their Signal: %.1e \n',mlse_results.metrics.BER);
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% fprintf('Paper: %.1e \n \n',ber_in_paper);
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% end
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%% -------------------- ML-based MLSE (L=2) --------------------
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ml_mlse_equalizer = ML_MLSE("epochs_tr",100,"epochs_dd",1, ...
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"len_tr",length(Rx_synced),"mu_dd",0.03,"mu_tr",0.03,"order",11,"sps",sps, ...
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"traceback_depth",256,"L",1,"delta",4,"adaptive_mu",0);
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pf_ncoeffs = 4;
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eq_v = EQ("Ne",[300, 0, 0],"Nb",[2, 0, 0], ...
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"training_length",len_tr,"training_loops",5,"dd_loops",5, ...
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"K",sps,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005, ...
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"FFEmu",0,"plotfinal",0,"ideal_dfe",0, ...
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'weighted_DFE',1,'weighted_DFE_d_min',0.5,'weighted_DFE_mode','I2','weighted_DFE_I_mode',[1,0.1,0.1], ...
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'PDFE_coefficient',0.01);
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% eq_v = FFE_DFE('ffe_order',300,'dfe_order',5,'len_tr',len_tr,'epochs_tr',5,'epochs_dd',5, ...
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% 'ffe_mu_dd',mu_ffe,'ffe_mu_tr',0,'dfe_mu_dd',mu_dfe,'dfe_mu_tr',0.005,'sps',sps,'decide',0);
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pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
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mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0,"eth_style",mapping_style).levels);
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[ml_mlse_results] = ml_mlse(ml_mlse_equalizer, M, Rx_synced, Symbols, Bits,"precode_mode",duob_mode,"eth_style_symbol_mapping",mapping_style);
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[vnle_results, mlse_results] = vnle_postfilter_mlse(eq_v, pf_, mlse_, M, Rx_synced, Symbols, Bits, ...
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"precode_mode", duob_mode, 'showAnalysis', 1, "postFFE", [], "eth_style_symbol_mapping", mapping_style);
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mlse_results.metrics.print
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if our_signal
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fprintf('Our Signal: %.1e \n',ml_mlse_results.metrics.BER);
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fprintf('Our Signal: %.1e \n',mlse_results.metrics.BER);
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fprintf('Paper: %.1e \n \n',ber_in_paper);
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else
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fprintf('Their EQ: %.1e \n',ml_mlse_results.metrics.BER);
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fprintf('Their Signal: %.1e \n',mlse_results.metrics.BER);
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fprintf('Paper: %.1e \n \n',ber_in_paper);
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end
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%% -------------------- ML-based MLSE (L=2) --------------------
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% ml_mlse_equalizer = ML_MLSE("epochs_tr",100,"epochs_dd",1, ...
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% "len_tr",length(Rx_synced),"mu_dd",0.03,"mu_tr",0.03,"order",11,"sps",sps, ...
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% "traceback_depth",256,"L",1,"delta",4,"adaptive_mu",0);
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%
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% [ml_mlse_results] = ml_mlse(ml_mlse_equalizer, M, Rx_synced, Symbols, Bits,"precode_mode",duob_mode,"eth_style_symbol_mapping",mapping_style);
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% if our_signal
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% fprintf('Our Signal: %.1e \n',ml_mlse_results.metrics.BER);
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% fprintf('Paper: %.1e \n \n',ber_in_paper);
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% else
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% fprintf('Their EQ: %.1e \n',ml_mlse_results.metrics.BER);
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% fprintf('Paper: %.1e \n \n',ber_in_paper);
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% end
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end
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