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Silas Oettinghaus
@@ -118,7 +118,7 @@ classdef Pulseformer
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% data_out = upfirdn(data_in,h,up,dn);
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%
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% %cut signal, which is longer due to fir filter
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% st = round(up/dn*racos_len/2); %we need to cut y_out
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st = round(up/dn*racos_len/2); %we need to cut y_out
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% en = round(st + (length(data_in)*up/dn) -1);
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%
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% data_out = data_out(st:en);
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59
MPI_offline_analysis/mpi_analysis_pam4.m
Normal file
59
MPI_offline_analysis/mpi_analysis_pam4.m
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@@ -0,0 +1,59 @@
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clear;
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col = linspecer(6);
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% load dataset
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simdata = load('/Users/silasoettinghaus/Documents/MATLAB/Labor_Datensatz_PAM4_MPI/pam4_10km_1km/pam4__loop_3_56Gbd_19092023_1459.mat');
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% get common variables of simulation loop
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fdac = simdata.saveStructTemp.common.f_DAC;
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fadc = simdata.saveStructTemp.common.f_ADC;
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fsym = simdata.saveStructTemp.common.f_sym;
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% 0) build RX Signal
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y_rx = Electricalsignal(simdata.saveStructTemp.dp_tsynch_out');
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y_rx.fs = 2.*fsym;
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% 0) build tx reference Signal for eq training
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y_digimod = Electricalsignal(simdata.saveStructTemp.digi_mod_out');
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y_digimod.fs = fsym;
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% 1) normlaize
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y_rx.normalize("mode","rms");
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% 2.1) equalize
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eq = EQ("K",2,"plottrain",0,"plotfinal",0,...
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"training_length",4096,"training_loops",3,...
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"Ne",[50,9,3],"Nb",[2,0,0],...
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"DCmu",0,"DDmu",[0.0004 0.0005 0.0005 0.0005 ],"DFEmu",0.005,"FFEmu",0.005,...
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"dd_loops",3,"epsilon",[10 100 1000 ],"M",2,...
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"thres",[0.005 0.0004 0.0005 ],"l1act",0,"delay",0,"rho",0.0005,"ideal_dfe",0,"DB_aim",0);
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eq2 = EQ_silas("Ne",[50,9,3],"Nb",[2,0,0],"trainlength",4096,"mu_dc_dd",0,"mu_dc_train",0,"mu_ffe_train",0.005,"mu_combined_dd",[0.0004 0.0005 0.0005 0.0005 ],"ddloops",3,"trainloops",3);
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[Eq_out] = eq.process(y_rx,y_digimod);
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[Eq_out2] = eq2.process(y_rx,y_digimod);
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figure()
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scatter(1:length(Eq_out.signal),Eq_out.signal,4,'.','MarkerEdgeColor',col(4,:),'DisplayName','After EQ');
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% 2.2) MPI reduction blocks
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% 3) digital demodulation
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digimod = PAMmapper(2^simdata.saveStructTemp.common.M,0);
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d_hat = digimod.demap(Eq_out);
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d_hat2 = digimod.demap(Eq_out2);
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d_ = digimod.demap(Electricalsignal(simdata.saveStructTemp.digi_mod_out'));
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d = simdata.saveStructTemp.prms_out;
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% 4) BER calculation
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[totalbits,errors_bm,ber_dhat,loc] = calc_ber(d_hat.signal(1:end,:) ,d(1:end,:)',"skip",0,"returnErrorLocation",1);
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[totalbits2,errors_bm2,ber_dhat2,loc] = calc_ber(d_hat2.signal(1:end,:) ,d(1:end,:)',"skip",0,"returnErrorLocation",1);
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ber_nodctap = mean(simdata.saveStructTemp.prms_compare_state.BER );
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disp(['BER_new_eq1: ',num2str(ber_dhat),' BER_new_eq2: ',num2str(ber_dhat2),' BER_old: ',num2str(ber_nodctap)]);
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@@ -4,13 +4,15 @@ lw = [0.1e6 1e6 10e6];
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for lp = 1
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dc_mu = 0.05;
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sir = -20;%sir_loop(lp);
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sir = sir_loop(1);
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rng(lp);
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%% Set Simulation Variables
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O = 12; %order of prbs
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N = 2^(O-1); %length of prbs
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[~,seed] = prbs(O,1); %initialize first seed of prbs
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sir = sir;
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@@ -77,7 +79,7 @@ for lp = 1
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eq = EQ("K",2,"plottrain",0,"plotfinal",0,...
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"training_length",4096,"training_loops",2,...
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"Ne",[50,5,3],"Nb",[3,2,2],...
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"DCmu",dc_mu,"DDmu",[0.0004 0.0005 0.0006 0.0007 ],"DFEmu",0.005,"FFEmu",0.005,...
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"DCmu",0.005,"DDmu",[0.0004 0.0005 0.0006 0.0007 ],"DFEmu",0.005,"FFEmu",0.005,...
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"dd_loops",2,"epsilon",[10 100 1000 ],"M",2,...
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"thres",[0.005 0.004 0.0005 ],"l1act",0,"delay",0,"rho",0.0005,"ideal_dfe",0,"DB_aim",0);
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@@ -135,6 +137,9 @@ for lp = 1
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disp(['SIR ',num2str(10*log10(X.power/R.power))]);
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%%
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X = opticatten.process(X);
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% X = edfaamp.process(X);
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X = X+R;
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@@ -164,7 +169,7 @@ for lp = 1
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% wl = 1000; % symbols
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% Eq_in.signal = Eq_in.signal - 1/wl .* movsum( Eq_in.signal,[wl/2,wl/2]);
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[Eq_out] = eq2.process(Eq_in,reference);
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[Eq_out] = eq.process(Eq_in,reference);
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%% MPI reduction DC removal
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wl = 1000; % symbols
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@@ -186,15 +191,15 @@ for lp = 1
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wl = 100; % symbols
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smoothed = ( 1/wl .* movsum(e,[wl/2,wl/2]) );
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% remove interference
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for level = 0:3
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yk_lvsm.signal(pre_decision_level_uni==level) = yk_lvsm.signal(pre_decision_level_uni==level) - smoothed(pre_decision_level_uni==level);
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yk_lvlp.signal(pre_decision_level_uni==level) = yk_lvlp.signal(pre_decision_level_uni==level) - filtered(pre_decision_level_uni==level);
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%subplot(1,5,lp)
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xax = 1:eq_out.length;
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scatter(xax,eq_out.signal,4,'.','MarkerEdgeColor',col(6,:),'DisplayName','After EQ');
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xlim([1, xax(end)]);
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ylim([-2 2]);
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xlabel('Sampling Index')
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ylabel('Amplitude')
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legend
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end
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%
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% figure(26);plot(1:length(error_log),error_log(:,end),"LineWidth",0.4);ylim([-0.8 0.8]);ylabel('$\epsilon$'),title(['Linewidth: ',num2str(laser_linewidth*1e-6), 'MHz'])
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%
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% figure(28);plot(1:length(e),e,"LineWidth",0.4);ylim([-0.8 0.8]);
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@@ -315,6 +320,6 @@ for lp = 1
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hold off
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end
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end
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