clear; col = linspecer(6); foldername = 'C:\Users\Silas\Documents\MATLAB\Labor_Datensatz_PAM4_MPI\pam4_10km_1km'; allfiles = dir(foldername); parfsym = zeros(1,length(allfiles)); parsir = zeros(1,length(allfiles)); ber_wo_reduction = zeros(1,length(allfiles)); ber_w_dcremoval = zeros(1,length(allfiles)); mudc = zeros(1,length(allfiles)); parfor i = 1:length(allfiles) if allfiles(i).bytes ~= 0 current_filename = allfiles(i).name; else continue end % load dataset simdata = load([foldername,filesep, current_filename]); % get common variables of simulation loop %even if redundant, save stuff to results struct parsir(i) = simdata.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2; parfsym(i) = simdata.saveStructTemp.common.f_sym; fdac = simdata.saveStructTemp.common.f_DAC; fadc = simdata.saveStructTemp.common.f_ADC; fsym = simdata.saveStructTemp.common.f_sym; % 0) build RX Signal y_rx = Electricalsignal(simdata.saveStructTemp.dp_tsynch_out'); y_rx.fs = 2.*fsym; % 0) build tx reference Signal for eq training y_digimod = Electricalsignal(simdata.saveStructTemp.digi_mod_out'); y_digimod.fs = fsym; % 1) normlaize y_rx = y_rx.normalize("mode","rms"); % 2.1) equalize eq = EQ("K",2,"plottrain",0,"plotfinal",0,... "training_length",4096,"training_loops",4,... "Ne",[50,9,9],"Nb",[2,0,0],... "DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,... "dd_loops",4,"epsilon",[10 100 1000 ],"M",2,... "thres",[0.005 0.004 0.005 ],"l1act",0,"delay",0,"rho",0.0005,"ideal_dfe",0,"DB_aim",0); [Eq_out] = eq.process(y_rx,y_digimod); % 2.2) MPI reduction blocks % 3) digital demodulation digimod = PAMmapper(2^simdata.saveStructTemp.common.M,0); d_hat = digimod.demap(Eq_out); d_ = digimod.demap(Electricalsignal(simdata.saveStructTemp.digi_mod_out')); d = simdata.saveStructTemp.prms_out; % 4) BER calculation [totalbits,errors_bm,ber_dhat,loc] = calc_ber(d_hat.signal(1:end,:) ,d(1:end,:)',"skip",0,"returnErrorLocation",1); ber_nodctap = mean(simdata.saveStructTemp.prms_compare_state.BER ); disp(['BER_new_eq1: ',num2str(ber_dhat),' BER_old: ',num2str(ber_nodctap)]); % 5) save to struct ber_wo_reduction(i) = ber_nodctap; ber_w_dcremoval(i) = ber_dhat; mudc(i) = eq.DCmu; end rate = [92e9, 56e9]; figure(99) for r = 1:length(rate) a = [parsir(parfsym==rate(r));ber_wo_reduction(parfsym==rate(r))]; a=sort(a,2); plot(a(1,:),a(2,:),'DisplayName',[num2str(rate(r).*1e-9),' GBd; PAM4; w/o reduction'],'LineWidth',2,'Marker','o','MarkerSize',3); %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') hold on b = [parsir(parfsym==rate(r));ber_w_dcremoval(parfsym==rate(r))]; b=sort(b,2); plot(b(1,:),b(2,:),'DisplayName',[num2str(rate(r).*1e-9),' GBd; PAM4; adaptive DC removal'],'LineWidth',2,'Marker','+','MarkerSize',3); %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','+'); end set(gca, 'YScale', 'log') yline(3.8e-3,'LineWidth',1.5);