Merge branch 'main' of cau-git.rz.uni-kiel.de:nt/mitarbeiter/silas/imdd_simulation
This commit is contained in:
sutef391
@@ -15,9 +15,9 @@ m = floor(log2(M)*10)/10;
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fsym = 224e9;
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fdac = 2*fsym;
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fadc = 2*fsym;
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random_key = 2;
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s.random_key = 100;
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% Laser / Modulator
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% Laser / s.Modulator
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vbias_rel = 0.5;
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u_pi = 3.2;
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vbias = -vbias_rel*u_pi;
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@@ -47,8 +47,8 @@ apply_pulsef = 0;
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rcalpha = 0.05;
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Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rc","pulselength",16,"alpha",rcalpha);
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N = numel(wavelengthplan);
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f_plan = physconst('lightspeed')./(wavelengthplan.*1e-9);
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N = numel(s.wavelengthplan);
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f_plan = physconst('lightspeed')./(s.wavelengthplan.*1e-9);
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margin = 25e12; % some THz left and right
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f_span = (max(f_plan)+margin)-(min(f_plan)-margin);
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f_nyq = f_span/2;
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@@ -57,38 +57,38 @@ upsample_required = f_nyq./(fdac*kover/2);
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upsample_pow = 2^nextpow2(upsample_required);
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upsample_ceil = ceil(upsample_required);
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f_opt = fdac*kover*upsample_pow;
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f_opt_nyq = f_opt/2;
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s.f_opt = fdac*kover*upsample_pow;
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s.f_opt_nyq = s.f_opt/2;
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signal_cell = {};
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Symbols = {};
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Tx_bits = {};
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rop = -8.25:0.75:0;
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s.rop = -6:0.75:-0.75;
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output_ffe = cell(length(wavelengthplan),length(rop),num_realiz);
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output_vnle = cell(length(wavelengthplan),length(rop),num_realiz);
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output_mlse = cell(length(wavelengthplan),length(rop),num_realiz);
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output_dbt = cell(length(wavelengthplan),length(rop),num_realiz);
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output_ffe = cell(length(s.wavelengthplan),length(s.rop),s.num_realiz);
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output_vnle = cell(length(s.wavelengthplan),length(s.rop),s.num_realiz);
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output_mlse = cell(length(s.wavelengthplan),length(s.rop),s.num_realiz);
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output_dbt = cell(length(s.wavelengthplan),length(s.rop),s.num_realiz);
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for realiz = 1:num_realiz
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for realiz = 1:s.num_realiz
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parfor l = 1:N
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[Digi_sig,Symbols{l},Tx_bits{l}] = PAMsource(...
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"fsym",fsym,"M",M,"order",18,"useprbs",0,...
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"fsym",fsym,"M",s.M,"order",18,"useprbs",0,...
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"fs_out",fdac,...
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"applyclipping",0,"clipfactor",1.5,...
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"applypulseform",apply_pulsef,"pulseformer",Pform,...
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"randkey",random_key+l+realiz,...
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"randkey",s.random_key+l+realiz,...
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"db_precode",db_precode,"db_encode",db_encode,...
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"mrds_code",0,"mrds_blocklength",512,"duobinary_mode",duob_mode).process();
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% Digi_sig.spectrum("fignum",101,"displayname",'bla','normalizeTo0dB',0,'lambda0_nm',1310,'useWavelengthAxis',0);
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Lp_awg = Filter('filtdegree',3,"f_cutoff",100e9,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true);
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El_sig = AWG("fdac",fdac,"f_cutoff",fsym,"lpf_active",1,"kover",kover,"bit_resolution",12,"upsampling_method","samplehold","precomp_sinc_rolloff",0,"H_lpf",Lp_awg,"dac_max",0.6,"dac_min",-0.6).process(Digi_sig);
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% El_sig = M8199B("kover",kover).process(Digi_sig);
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% El_sig = s.M8199B("kover",kover).process(Digi_sig);
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% El_sig.spectrum("fignum",101,"displayname",'bla','normalizeTo0dB',0,'lambda0_nm',1310,'useWavelengthAxis',0);
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%%%%% Electrical Driver Amplifier %%%%%%
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@@ -96,10 +96,10 @@ for realiz = 1:num_realiz
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% El_sig = El_sig.setPower(1,"dBm");
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% figure;histogram(El_sig.signal);
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%%%%% MODULATE E/O CONVERSION %%%%%
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Eml_out = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",wavelengthplan(l),"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",random_key+l+realiz).process(El_sig);
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%%%%% s.MODULATE E/O CONVERSION %%%%%
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Eml_out = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",s.wavelengthplan(l),"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",s.random_key+l+realiz).process(El_sig);
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signal_cell{l} = Polarization_Controller("mode","rot_power","desired_power",30).process(Eml_out);
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signal_cell{l} = Polarization_Controller("mode","rot_power","desired_power",100).process(Eml_out);
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end
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Opt_sig_wdm = Optical_Multiplex("fs_in",fdac*kover,"fs_out",upsample_pow*fdac*kover,...
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@@ -119,12 +119,12 @@ for realiz = 1:num_realiz
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zdw = 1310;
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D_local = 0; %if ~=0, simulation uses "segmented fiber with d+,d-)
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randomize_D = true;
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Dvec = getDispersionVector(nSegments, D_local, zdw, randomize_D, random_key+realiz);
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for s = 1:nSegments
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Dvec = getDispersionVector(nSegments, D_local, zdw, randomize_D, s.random_key+realiz);
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for seg = 1:nSegments
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Opt_sig_wdm_fib = DP_Fiber("L",segment_length,"D",Dvec(s),"Dpmd",pmd,"Ds",0.07,...
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"beat_len",10,"corr_len",100,"dz",1,"manakov",0,...
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"gamma",gamma,"lambda",zdw,"n_waveplates",10,"SS_dphimax",0.01,...
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"gamma",s.gamma,"lambda",zdw,"n_waveplates",10,"SS_dphimax",0.01,...
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"SS_dzmax",50,"SS_dzmin",10,"X_alpha",0.3,"X_beta",0,"rng",1).process(Opt_sig_wdm_fib);
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end
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@@ -133,12 +133,12 @@ for realiz = 1:num_realiz
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% Opt_sig_wdm_fib.move_it_spectrum("fignum",100212,"displayname",'bla');
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% Opt_sig = Fiber("fsimu",Opt_sig.fs,"fiber_length",link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig)
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% Opt_sig = Fiber("fsimu",Opt_sig.fs,"fiber_length",s.link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"s.gamma",0,"Dslope",0.07).process(Opt_sig)
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parfor ri = 1:length(rop)
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for ri = 1:length(s.rop)
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%%%%%% ROP %%%%%%
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Opt_sig_wdm_rx = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",rop(ri)+10*log10(N)).process(Opt_sig_wdm_fib);
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Opt_sig_wdm_rx = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",s.rop(ri)+10*log10(N)).process(Opt_sig_wdm_fib);
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Opt_sig_wdm_demux = Optical_Demultiplex("attenuation",0,"B",200e9,"filtype",1,"fs_out",Opt_sig_wdm_rx.fs/upsample_pow,"fs_in",Opt_sig_wdm_rx.fs,"lambda_center",1310).process(Opt_sig_wdm_rx);
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@@ -147,9 +147,9 @@ for realiz = 1:num_realiz
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%%%%%% PD Square Law %%%%%%
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assert(fdac*kover==Opt_sig_wdm_demux{l}.fs,'Sampling Frequencies do not match! Check previous steps');
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PD_sig = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20,"nep",1.8e-11,"randomkey",random_key+l+realiz).process(Opt_sig_wdm_demux{l});
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PD_sig = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20,"nep",1.8e-11,"randomkey",s.random_key+l+realiz).process(Opt_sig_wdm_demux{l});
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PD_sig.spectrum("fignum",222,"displayname",'bla','normalizeTo0dB',1);
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% PD_sig.spectrum("fignum",222,"displayname",'bla','normalizeTo0dB',1);
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%%%%%% Low-pass RX (PD, El. Connectors and Scope %%%%%%
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rx_bwl = 100e9;
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@@ -176,7 +176,7 @@ for realiz = 1:num_realiz
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% FFE
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ffe_order = [50, 0, 0];
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eq_ffe = 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);
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ffe_results = ffe(eq_ffe,M,Rx_sig,Symbols{l},Tx_bits{l},...
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ffe_results = ffe(eq_ffe,s.M,Rx_sig,Symbols{l},Tx_bits{l},...
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"precode_mode",duob_mode,...
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'showAnalysis',0,...
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"postFFE",[],...
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@@ -194,12 +194,12 @@ for realiz = 1:num_realiz
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useviterbi = 0;
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if useviterbi
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mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
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mlse_ = MLSE_viterbi("duobinary_output",0,'M',s.M,'trellis_states',PAMmapper(s.M,0).levels);
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else
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mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
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mlse_ = MLSE("duobinary_output",0,'M',s.M,'trellis_states',PAMmapper(s.M,0).levels);
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end
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[vnle_results, mlse_results] = vnle_postfilter_mlse(eq_, pf_, mlse_, M, Rx_sig, Symbols{l},Tx_bits{l}, ...
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[vnle_results, mlse_results] = vnle_postfilter_mlse(eq_, pf_, mlse_, s.M, Rx_sig, Symbols{l},Tx_bits{l}, ...
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"precode_mode", duob_mode,...
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'showAnalysis', 0, ...
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"postFFE", [],...
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@@ -209,18 +209,17 @@ for realiz = 1:num_realiz
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output_mlse{l,ri,realiz} = mlse_results;
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% DB tgt.
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useviterbi = 0;
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if useviterbi
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mlse_db_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
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mlse_db_ = MLSE_viterbi("duobinary_output",0,'M',s.M,'trellis_states',PAMmapper(s.M,0).levels);
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else
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mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels);
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mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",s.M,"trellis_states",PAMmapper(s.M,0).levels);
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end
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ffe_order = [50, 5, 5];
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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);
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dbt_results = duobinary_target(eq_, mlse_db_, M, Rx_sig, Symbols{l},Tx_bits{l}, ...
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dbt_results = duobinary_target(eq_, mlse_db_, s.M, Rx_sig, Symbols{l},Tx_bits{l}, ...
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"precode_mode", duob_mode, ...
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'showAnalysis', 0,...
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"postFFE", []);
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@@ -232,6 +231,7 @@ for realiz = 1:num_realiz
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end
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res = struct();
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res.settings = s;
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res.ffe = output_ffe;
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res.vnle = output_vnle;
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res.mlse = output_mlse;
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@@ -240,38 +240,13 @@ for realiz = 1:num_realiz
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% Save results
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save(fullfile(output_root, fname), 'res', '-v7.3');
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fprintf('Saved results to: %s\n', fullfile(output_root, fname));
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disp(datetime('now','TimeZone','local','Format','yyyyMs.Mdd_HHmmss'));
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end
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figure();hold on;
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cols = linspecer(N);
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for l = 1:N
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% plot(rop,mean(squeeze(ber_vnle(l,:,:)),2,'omitnan'),'Marker','*','DisplayName',sprintf('Ch: %d',wavelengthplan(l)))
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% plot(rop,cellfun(@(c) c.metrics.BER, output_ffe(l,:), 'UniformOutput', true),'Marker','*','DisplayName',sprintf('Ch: %d',wavelengthplan(l)),'Color',cols(l,:),'HandleVisibility','on','LineStyle',':');
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plot(rop,cellfun(@(c) c.metrics.BER, res.vnle(l,:), 'UniformOutput', true),'Marker','x','DisplayName',sprintf('Ch: %d',wavelengthplan(l)),'Color',cols(l,:),'HandleVisibility','on','LineStyle','--')
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plot(rop,cellfun(@(c) c.metrics.BER, res.mlse(l,:), 'UniformOutput', true),'Marker','o','DisplayName',sprintf('Ch: %d',wavelengthplan(l)),'Color',cols(l,:),'HandleVisibility','on','LineStyle','-')
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end
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yline([3.8e-3,2.2e-4],'HandleVisibility','off');
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ylabel('BER');
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xlabel('ROP')
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title('BER vs. ROP');
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set(gca, 'XScale', 'linear', ...
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'YScale', 'log', ...
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'TickLabelInterpreter', 'latex', ...
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'FontSize', 11);
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xlim([min(rop) max(rop)])
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ylim([1e-5 0.3])
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% --- save as PNG ---
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outname = fullfile(output_root, 'BER_vs_ROP.png'); % saves to current folder
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print(gcf, outname, '-dpng', '-r300'); % 300 dpi
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fprintf('Saved figure to %s\n', outname);
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function dispersion_vector = getDispersionVector(N, D, ref_zdw, randomize_ZDW, randomkey)
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% MATLAB version of the Python generator shown above.
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% s.MATLAB version of the Python generator shown above.
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% Returns an N×1 vector (ps/(nm·km)).
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%
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% D is the nominal dispersion magnitude. For D>0 the link is segmented with
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