108 lines
3.3 KiB
Matlab
108 lines
3.3 KiB
Matlab
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clear;
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col = linspecer(6);
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foldername = 'C:\Users\Silas\Documents\MATLAB\Labor_Datensatz_PAM4_MPI\pam4_10km_1km';
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allfiles = dir(foldername);
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parfsym = zeros(1,length(allfiles));
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parsir = zeros(1,length(allfiles));
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ber_wo_reduction = zeros(1,length(allfiles));
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ber_w_dcremoval = zeros(1,length(allfiles));
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mudc = zeros(1,length(allfiles));
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parfor i = 1:length(allfiles)
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if allfiles(i).bytes ~= 0
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current_filename = allfiles(i).name;
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else
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continue
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end
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% load dataset
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simdata = load([foldername,filesep, current_filename]);
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% get common variables of simulation loop
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%even if redundant, save stuff to results struct
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parsir(i) = simdata.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
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parfsym(i) = simdata.saveStructTemp.common.f_sym;
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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 = 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",4,...
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"Ne",[50,9,9],"Nb",[2,0,0],...
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"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,...
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"dd_loops",4,"epsilon",[10 100 1000 ],"M",2,...
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"thres",[0.005 0.004 0.005 ],"l1act",0,"delay",0,"rho",0.0005,"ideal_dfe",0,"DB_aim",0);
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[Eq_out] = eq.process(y_rx,y_digimod);
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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_ = 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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ber_nodctap = mean(simdata.saveStructTemp.prms_compare_state.BER );
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disp(['BER_new_eq1: ',num2str(ber_dhat),' BER_old: ',num2str(ber_nodctap)]);
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% 5) save to struct
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ber_wo_reduction(i) = ber_nodctap;
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ber_w_dcremoval(i) = ber_dhat;
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mudc(i) = eq.DCmu;
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end
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rate = [92e9, 56e9];
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figure(99)
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for r = 1:length(rate)
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a = [parsir(parfsym==rate(r));ber_wo_reduction(parfsym==rate(r))];
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a=sort(a,2);
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plot(a(1,:),a(2,:),'DisplayName',[num2str(rate(r).*1e-9),' GBd; PAM4; w/o reduction'],'LineWidth',2,'Marker','o','MarkerSize',3);
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%scatter(parsir(parfsym==rate(r)),ber_wo_reduction(parfsym==rate(r)),'DisplayName',[num2str(rate(r).*1e-9),' GBd; PAM4; w/o reduction'],'LineWidth',2,'Marker','o')
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hold on
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b = [parsir(parfsym==rate(r));ber_w_dcremoval(parfsym==rate(r))];
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b=sort(b,2);
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plot(b(1,:),b(2,:),'DisplayName',[num2str(rate(r).*1e-9),' GBd; PAM4; adaptive DC removal'],'LineWidth',2,'Marker','+','MarkerSize',3);
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%scatter(parsir(parfsym==rate(r)),ber_w_dcremoval(parfsym==rate(r)),'DisplayName',[num2str(rate(r).*1e-9),' GBd; PAM4; adaptive DC removal'],'LineWidth',2,'Marker','+');
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end
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set(gca, 'YScale', 'log')
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yline(3.8e-3,'LineWidth',1.5);
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