New AWG M8199A now included
ExfoLaser now uses GPIB minor stuff
This commit is contained in:
Silas Labor Zizou
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clear;
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col = linspecer(6);
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% GENERATE SIR CURVE
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if ismac
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foldername = '/Users/silasoettinghaus/Documents/MATLAB/Labor_Datensatz_PAM4_MPI/pam4_10km_1km';
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else
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foldername = 'C:\Users\Silas\Documents\MATLAB\Datensätze\Labor_Datensatz_PAM4_MPI_OFC2023\pam4_10km_1km';
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end
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% SETTINGS
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optimize_mudc = 0;
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run_sir_sweep = 1;
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run_feed_forward = 0;
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run_baseline = 0;
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run_ideal_dc_tap = 0;
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plot_timesignal = 1;
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block_loop = [1];
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for bl = 1:numel(block_loop)
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eq_parallelization_blocklength = block_loop(bl);
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eq_updatelatency = 3;
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eq_avg_blocklength =0;
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% FIND BEST MU DC
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if optimize_mudc
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mudc_loop = [0, 0.0001,0.0005, 0.001,0.005, 0.01:0.01:0.1, 0.2:0.1:1];
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current_filename = 'pam4__loop_14_92Gbd_19092023_1513.mat';
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% current_filename = 'pam4__loop_29_56Gbd_19092023_1546.mat';
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recorded_data = load([foldername,filesep, current_filename]);
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[best_mudc,ber]= optimizeMuDc(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc_loop);
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figure(16)
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hold on
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scatter(mudc_loop(mudc_loop~=best_mudc),ber(mudc_loop~=best_mudc),'Marker','*','LineWidth',1);
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set(gca, 'YScale', 'log');
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set(gca, 'XScale', 'log');
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scatter(best_mudc,ber(mudc_loop==best_mudc),100,'Marker','*','LineWidth',2)
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yline(ber(1));
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xlim([0,1])
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end
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if run_sir_sweep
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%mudc = 0.04;%best_mudc;
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mudc = 0;
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[ber,sir,fsym] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc);
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plotSirSweep(ber,sir,fsym,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc)
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crossing = calculateCrossing([92e9, 56e9],ber,sir,fsym);
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req_sir_56(bl) = crossing(2,2) ;
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req_sir_92(bl) = crossing(2,1) ;
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end
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end
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if run_feed_forward
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current_filename = 'pam4__loop_14_92Gbd_19092023_1513.mat';
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recorded_data = load([foldername,filesep, current_filename]);
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eq_avg_blocklength = [50,100,1000,3000];
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[best_block,ber]= optimizeAvgBlocklength(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,0);
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best_block = 400;
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[ber_base,sir_base,fsym_base] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,best_block,0);
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plotSirSweep(ber_base,sir_base,fsym_base,eq_parallelization_blocklength,eq_updatelatency,best_block,0)
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crossing = calculateCrossing([92e9, 56e9],ber_base,sir_base,fsym_base);
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[ber_base,sir_base,fsym_base] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,0,0);
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plotSirSweep(ber_base,sir_base,fsym_base,eq_parallelization_blocklength,eq_updatelatency,0,0)
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crossing = calculateCrossing([92e9, 56e9],ber_base,sir_base,fsym_base);
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end
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if run_baseline
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% baseline means no DC removal alg!
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mudc = 0;
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[ber_base,sir_base,fsym_base] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc);
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plotSirSweep(ber_base,sir_base,fsym_base,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc)
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crossing = calculateCrossing([92e9, 56e9],ber_base,sir_base,fsym_base);
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req_sir_56_baseline = crossing(2,2) ;
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req_sir_92_baseline = crossing(2,1) ;
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end
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if run_ideal_dc_tap
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current_filename = 'pam4__loop_29_56Gbd_19092023_1546.mat';
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recorded_data = load([foldername,filesep, current_filename]);
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[mudc,~]= optimizeMuDc(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc_loop);
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eq_parallelization_blocklength = 1;
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eq_updatelatency = 1;
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[ber_ideal,sir_ideal,fsym_ideal] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc);
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plotSirSweep(ber_ideal,sir_ideal,fsym_ideal,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc)
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crossing = calculateCrossing([92e9, 56e9],ber_ideal,sir_ideal,fsym_ideal);
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req_sir_56_ideal = crossing(2,2) ;
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req_sir_92_ideal = crossing(2,1) ;
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end
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if plot_timesignal
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current_filename = 'pam4__loop_26_92Gbd_19092023_1542.mat';
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recorded_data = load([foldername,filesep, current_filename]);
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sir = recorded_data.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
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fsym = 92e9;
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eq_parallelization_blocklength = 1;
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eq_updatelatency = 1;
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eq_avg_blocklength = 0;
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% TRUE SYMBOLS
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correct_symbols = recorded_data.saveStructTemp.digi_mod_out';
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%3) PLAIN RECEIVED SIGNAL
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disp('RX Signal')
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y_rx = Electricalsignal(recorded_data.saveStructTemp.dp_tsynch_out');
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y_rx.fs = 2.*fsym;
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rx_symbols = y_rx.resample("fs_in",2.*fsym,"fs_out",fsym);
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rx_symbols = rx_symbols.normalize("mode","rms").signal;
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disp(std(rx_symbols));
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scatterleveldependent(rx_symbols,correct_symbols,fsym);
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%1) PLOT WITH WITH ALGORITHM
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if 0
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mudc_loop = [0, 0.0001,0.0005, 0.001,0.005, 0.01:0.01:0.1, 0.2:0.1:1];
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[mudc,~]= optimizeMuDc(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc_loop);
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end
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disp('ALGORITHM ')
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mudc = 0.05;
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results_alg = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength);
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disp(results_alg.ber);
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rx_symbols = results_alg.EQ_out.signal;
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disp(std(rx_symbols));
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scatterleveldependent(rx_symbols,correct_symbols,fsym);
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%2) JUST EQ
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disp('Just EQ')
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mudc = 0;
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results = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength);
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disp(results.ber)
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rx_symbols = results.EQ_out.signal;
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disp(std(rx_symbols));
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scatterleveldependent(rx_symbols,correct_symbols,fsym);
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end
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function plotSirSweep(ber,sir,fsym,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc)
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rate = [92e9, 56e9];
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figure(95)
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for r = 1:length(rate)
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sorted = sortrows([sir(fsym == rate(r)); ber(fsym == rate(r))]',1)';
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hold on
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plot(abs(sorted(1,:)),sorted(2,:),'DisplayName',[num2str(rate(r).*1e-9),' GBd; PAM4; mudc: ',num2str(mudc)],'LineWidth',1,'Marker','o','MarkerSize',5,'LineStyle','-','HandleVisibility','on');
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end
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set(gca, 'YScale', 'log');
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yline(3.8e-3,'LineWidth',1, 'LineStyle','--','HandleVisibility','off');
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xlim([15,35]);
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xlabel('SIR in dB');
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ylabel('BER');
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end
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function [crossing] = calculateCrossing(rate,ber,sir,fsym)
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for r = 1:length(rate)
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sorted = sortrows([sir(fsym == rate(r)); ber(fsym == rate(r))]',1)';
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berVals = sorted(2,:);
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xAxis = sorted(1,:);
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hdfec = 3.8e-3 .* ones(1,length(sorted));
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crossing(:,r) = InterX([hdfec(:)';xAxis],[berVals;xAxis]) ;
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end
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end
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function [ber,sir,fsym] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc)
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% GENERATE SIR CURVE
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if ismac
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foldername = '/Users/silasoettinghaus/Documents/MATLAB/Labor_Datensatz_PAM4_MPI/pam4_10km_1km';
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else
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foldername = 'C:\Users\Silas\Documents\MATLAB\Datensätze\Labor_Datensatz_PAM4_MPI_OFC2023\pam4_10km_1km';
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end
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allfiles = dir(foldername);
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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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recorded_data = load([foldername,filesep, current_filename]);
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else
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continue
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end
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results = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength);
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ber(i) = results.ber;
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fsym(i) = results.fsym;
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sir(i) = results.sir;
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disp(['fsym: ',num2str(results.fsym*1e-9),'GBd, SIR: ',num2str(results.sir),' ->> BER: ',sprintf('%2E',results.ber)]);
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end
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end
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function [best_blocklength,ber] = optimizeAvgBlocklength(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength_loop,mudc)
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for j = 1:length(eq_avg_blocklength_loop)
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eq_avg_blocklength = eq_avg_blocklength_loop(j);
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results = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength);
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ber(j) = results.ber;
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disp(['fsym: ',num2str(results.fsym*1e-9),'GBd, SIR: ',num2str(results.sir),' ->> BER: ',sprintf('%2E',results.ber)]);
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end
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[~,pos]=min(ber);
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best_blocklength = eq_avg_blocklength_loop(pos);
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end
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function [best_mudc,ber] = optimizeMuDc(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc_loop)
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parfor j = 1:length(mudc_loop)
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mudc = mudc_loop(j);
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results = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength);
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ber(j) = results.ber;
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disp(['fsym: ',num2str(results.fsym*1e-9),'GBd, SIR: ',num2str(results.sir),' ->> BER: ',sprintf('%2E',results.ber)]);
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end
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[~,pos]=min(ber);
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best_mudc = mudc_loop(pos);
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end
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function results = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength)
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results.sir = recorded_data.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
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results.fsym = recorded_data.saveStructTemp.common.f_sym;
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results.fdac = recorded_data.saveStructTemp.common.f_DAC;
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results.fadc = recorded_data.saveStructTemp.common.f_ADC;
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% 0) build RX Signal
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y_rx = Electricalsignal(recorded_data.saveStructTemp.dp_tsynch_out');
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y_rx.fs = 2.*results.fsym;
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% 0) build tx reference Signal for eq training
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y_digimod = Informationsignal(recorded_data.saveStructTemp.digi_mod_out');
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y_digimod.fs = results.fsym;
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% 1) normlaize
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y_rx = y_rx.normalize("mode","rms");
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% eq = EQ_silas_ofc("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
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% "sps",2,...
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% "mu_dc_dd",mudc,...
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% "mu_dc_train",mudc,...
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% "mu_ffe_train",0,...
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% "mu_dfe_train",0.005,...
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% "mu_ffe_dd",[0.0004 0.0004 0.0004],...
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% "mu_dfe_dd",0.005,...
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% "ddloops",3,...
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% "trainloops",4,...
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% "eq_parallelization_blocklength",eq_parallelization_blocklength, ...
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% "eq_updatelatency",eq_updatelatency,...
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% "eq_avg_blocklength",eq_avg_blocklength);
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eq = EQ_silas("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
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"sps",2,...
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"mu_dc_dd",mudc,...
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"mu_dc_train",mudc,...
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"mu_ffe_train",0,...
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"mu_dfe_train",0.005,...
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"mu_ffe_dd",[0.0004 0.0004 0.0004],...
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"mu_dfe_dd",0.005,...
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"ddloops",3,...
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"trainloops",4,...
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"eq_parallelization_blocklength",eq_parallelization_blocklength, ...
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"eq_updatelatency",eq_updatelatency,...
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"eq_avg_blocklength",eq_avg_blocklength);
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[Eq_out] = eq.process(y_rx,y_digimod);
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results.EQ_out = Eq_out;
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% 3) digital demodulation object
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digimod = PAMmapper(2^recorded_data.saveStructTemp.common.M,0);
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%estimated/ equalized symbol sequence
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d_estimated = digimod.demap(Eq_out);
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%correct data symbols
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d_correct = recorded_data.saveStructTemp.prms_out;
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% 4) BER calculation
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% BER
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[totalbits,errors,results.ber,loc] = calc_ber(d_estimated.signal(1:end,:),d_correct(1:end,:)',"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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% [totalbits,errors,results.ber,loc] = calc_ber(d_estimated.signal(1:end,:) ,d_correct(1:end,:)',"skip",0,"returnErrorLocation",1);
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end
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function std_per_lvl = calcleveldependentstd(rx_symbols,correct_symbols)
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error_of_rx_signal = rx_symbols - correct_symbols;
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levels = unique(correct_symbols);
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for l = 1:4
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level_amplitude = levels(l);
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std_per_lvl(l) = var(( 1/64 .* movsum(error_of_rx_signal(correct_symbols==level_amplitude),[64/2,64/2]) ));
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%std_per_lvl(l) = std(error_of_rx_signal(correct_symbols==level_amplitude));
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end
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end
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function scatterleveldependent(rx_symbols,correct_symbols,f_sym)
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col = cbrewer2('Paired',8);
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ccnt = -1;
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figure1 = figure();
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levels = unique(correct_symbols);
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start = 1;
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ende = length(correct_symbols);
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start = 30000;
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ende = 40000;
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for l = 1:4
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ccnt = ccnt+2;
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level_amplitude = levels(l);
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symbols_for_lvl = NaN(1,length(correct_symbols));
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symbols_for_lvl(correct_symbols==level_amplitude) = rx_symbols(correct_symbols==level_amplitude);
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std_lvl(l) = std(symbols_for_lvl,'omitnan');
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xax_in_sec = ((1:length(correct_symbols)) / f_sym) * 1e6;
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xax_in_sec = 1:length(correct_symbols);
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scatter(xax_in_sec(start:ende),symbols_for_lvl(start:ende),10,'.','MarkerFaceAlpha',0.5,'MarkerEdgeAlpha',0.5,'MarkerEdgeColor',col(ccnt,:));
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hold on;
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end
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std_lvl = round(std_lvl,2);
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disp(std_lvl);
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ccnt = 0;
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% Add the windowed/ smoothed curves
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for l = 1:4
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ccnt = ccnt+2;
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level_amplitude = levels(l);
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symbols_for_lvl = NaN(1,length(correct_symbols));
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movmean = 1/250 .* movsum(rx_symbols(correct_symbols==level_amplitude),[250/2,250/2]);
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symbols_for_lvl(correct_symbols==level_amplitude) = movmean;
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nanx = isnan(symbols_for_lvl);
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t = 1:numel(symbols_for_lvl);
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symbols_for_lvl(nanx) = interp1(t(~nanx), symbols_for_lvl(~nanx), t(nanx));
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xax_in_sec = ((1:length(correct_symbols)) / f_sym) * 1e6;
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xax_in_sec = 1:length(correct_symbols);
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plot(xax_in_sec(start:ende),symbols_for_lvl(start:ende),'Color',col(ccnt,:));
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hold on
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end
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|
||||
%yline(max(rx_symbols(correct_symbols==levels(2))))
|
||||
|
||||
if 0
|
||||
annotation(figure1,'textbox',...
|
||||
[0.660523809523809 0.844444444444448 0.133523809523809 0.0603174603174607],...
|
||||
'String',['\sigma = ',num2str(std_lvl(4))],...
|
||||
'LineWidth',1.8,...
|
||||
'LineStyle','none',...
|
||||
'FontSize',12,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(figure1,'textbox',...
|
||||
[0.667666666666665 0.642857142857147 0.133523809523809 0.0603174603174607],...
|
||||
'String',['\sigma = ',num2str(std_lvl(3))],...
|
||||
'LineWidth',1.8,...
|
||||
'LineStyle','none',...
|
||||
'FontSize',12,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(figure1,'textbox',...
|
||||
[0.671238095238093 0.442857142857148 0.133523809523809 0.0603174603174608],...
|
||||
'String',['\sigma = ',num2str(std_lvl(2))],...
|
||||
'LineWidth',1.8,...
|
||||
'LineStyle','none',...
|
||||
'FontSize',12,...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% Create textbox
|
||||
annotation(figure1,'textbox',...
|
||||
[0.670047619047616 0.265079365079371 0.133523809523809 0.0603174603174608],...
|
||||
'String',['\sigma = ',num2str(std_lvl(1))],...
|
||||
'LineWidth',1.8,...
|
||||
'LineStyle','none',...
|
||||
'FontSize',12,...
|
||||
'FitBoxToText','off');
|
||||
end
|
||||
|
||||
xlim([0, 2.6])
|
||||
ylim([-2 2])
|
||||
xlabel('Time in $\mu$s');
|
||||
ylabel('Normalized Amplitude');
|
||||
|
||||
end
|
||||
|
||||
|
||||
@@ -0,0 +1,188 @@
|
||||
|
||||
|
||||
|
||||
% parfsym = zeros(length(mudc_loop),length(allfiles));
|
||||
% parsir = zeros(length(mudc_loop),length(allfiles));
|
||||
% ber_wo_reduction = zeros(length(mudc_loop),length(allfiles));
|
||||
% ber_w_dcremoval = zeros(length(mudc_loop),length(allfiles));
|
||||
% mudc = zeros(length(mudc_loop),length(allfiles));
|
||||
% blocklen = zeros(length(mudc_loop),length(allfiles));
|
||||
|
||||
% parameters.mudc = [0, 0.0001,0.0005, 0.001,0.005, 0.01:0.01:0.1, 0.2:0.1:1];
|
||||
% parameters.eq_parallelization_blocklength = [1];
|
||||
% parameters.eq_updatelatency = [1];
|
||||
% parameters.eq_avg_blocklength =[0];
|
||||
block_loop = [1];
|
||||
|
||||
for j = 1:length(mudc_loop)
|
||||
|
||||
mudc_current = mudc_loop(j);
|
||||
block_current = block_loop(1);
|
||||
|
||||
parfor i = 1:length(allfiles)
|
||||
|
||||
if 1
|
||||
|
||||
if allfiles(i).bytes ~= 0
|
||||
current_filename = allfiles(i).name;
|
||||
else
|
||||
continue
|
||||
end
|
||||
|
||||
else
|
||||
%
|
||||
% current_filename = 'pam4__loop_29_56Gbd_19092023_1546.mat';
|
||||
% current_filename = 'pam4__loop_30_92Gbd_19092023_1547.mat';
|
||||
%
|
||||
current_filename = 'pam4__loop_13_56Gbd_19092023_1512.mat';
|
||||
current_filename = 'pam4__loop_14_92Gbd_19092023_1513.mat';
|
||||
|
||||
end
|
||||
|
||||
% load dataset
|
||||
recorded_data = load([foldername,filesep, current_filename]);
|
||||
% get common variables of simulation loop
|
||||
|
||||
%even if redundant, save stuff to results struct
|
||||
parsir(j,i) = recorded_data.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
|
||||
parfsym(j,i) = recorded_data.saveStructTemp.common.f_sym;
|
||||
|
||||
fdac = recorded_data.saveStructTemp.common.f_DAC;
|
||||
fadc = recorded_data.saveStructTemp.common.f_ADC;
|
||||
fsym = recorded_data.saveStructTemp.common.f_sym;
|
||||
|
||||
% 0) build RX Signal
|
||||
|
||||
y_rx = Electricalsignal(recorded_data.saveStructTemp.dp_tsynch_out');
|
||||
|
||||
y_rx.fs = 2.*fsym;
|
||||
|
||||
% 0) build tx reference Signal for eq training
|
||||
y_digimod = Electricalsignal(recorded_data.saveStructTemp.digi_mod_out');
|
||||
y_digimod.fs = fsym;
|
||||
|
||||
rx_symbols = y_rx.resample("fs_in",2.*fsym,"fs_out",fsym);
|
||||
rx_symbols = rx_symbols.normalize("mode","rms").signal;
|
||||
correct_symbols = recorded_data.saveStructTemp.digi_mod_out';
|
||||
|
||||
% scatterleveldependent(rx_symbols,correct_symbols,parfsym(j,i));
|
||||
% title([num2str(fsym.*1e-9),' GBd; SIR: ',num2str(parsir(j,i)),' dB']);
|
||||
|
||||
% if parfsym(j,i) == 56e9
|
||||
% deviation56(i) = var(( 1/500 .* movsum(y_rx.signal,[500/2,500/2]) ));
|
||||
% sir56(i) = simdata.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
|
||||
% std56(i,:) = calcleveldependentstd(rx_symbols,correct_symbols);
|
||||
% else
|
||||
% deviation92(i) = var(( 1/500 .* movsum(y_rx.signal,[500/2,500/2]) ));
|
||||
% sir92(i) = simdata.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
|
||||
% std92(i,:) = calcleveldependentstd(rx_symbols,correct_symbols);
|
||||
% end
|
||||
|
||||
% 1) normlaize
|
||||
y_rx = y_rx.normalize("mode","rms");
|
||||
|
||||
eq = EQ_silas("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
|
||||
"sps",2,...
|
||||
"mu_dc_dd",mudc_current,...
|
||||
"mu_dc_train",mudc_current,...
|
||||
"mu_ffe_train",0,...
|
||||
"mu_dfe_train",0.005,...
|
||||
"mu_ffe_dd",[0.0004 0.0004 0.0004],...
|
||||
"mu_dfe_dd",0.005,...
|
||||
"ddloops",3,...
|
||||
"trainloops",4,...
|
||||
"eq_parallelization_blocklength",block_current, ...
|
||||
"eq_updatelatency",3,...
|
||||
"eq_avg_blocklength",10000);
|
||||
|
||||
[Eq_out] = eq.process(y_rx,y_digimod);
|
||||
|
||||
% 2.2) MPI reduction blocks
|
||||
|
||||
% 3) digital demodulation
|
||||
digimod = PAMmapper(2^recorded_data.saveStructTemp.common.M,0);
|
||||
|
||||
d_hat = digimod.demap(Eq_out);
|
||||
|
||||
d_ = digimod.demap(Electricalsignal(recorded_data.saveStructTemp.digi_mod_out'));
|
||||
d = recorded_data.saveStructTemp.prms_out;
|
||||
|
||||
% scatterleveldependent(Eq_out.signal,correct_symbols,parfsym(j,i));
|
||||
% title([num2str(fsym.*1e-9),' GBd; SIR: ',num2str(parsir(j,i)),' dB']);
|
||||
|
||||
% 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(recorded_data.saveStructTemp.prms_compare_state.BER );
|
||||
|
||||
disp(['fsym: ',num2str(parfsym(j,i).*1e-9),'GBd, SIR: ',num2str(parsir(j,i)),' ->> BER_new: ',sprintf('%2E',ber_dhat),' BER_old: ',sprintf('%2E',ber_nodctap)]);
|
||||
|
||||
% 5) save to struct
|
||||
|
||||
ber_wo_reduction(j,i) = ber_nodctap;
|
||||
ber_w_dcremoval(j,i) = ber_dhat;
|
||||
mudc(j,i) = eq.mu_dc_dd;
|
||||
blocklen(j,i) = eq.eq_parallelization_blocklength;
|
||||
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
|
||||
rate = [92e9, 56e9];
|
||||
figure(95)
|
||||
col = cbrewer2('Paired',8);
|
||||
for r = 1:length(rate)
|
||||
for j = 1:length(mudc_loop)
|
||||
|
||||
|
||||
if mudc_loop(j) == 0
|
||||
lnsty = '--';
|
||||
|
||||
mark = 'square';
|
||||
|
||||
else
|
||||
lnsty = "-";
|
||||
|
||||
mark = 'v';
|
||||
end
|
||||
|
||||
if r == 1
|
||||
handlvis = 'on';
|
||||
colr = col(6,:);
|
||||
else
|
||||
handlvis = 'off';
|
||||
colr = col(8,:);
|
||||
end
|
||||
|
||||
%plot curve of standard FFE+DFE
|
||||
if j == 1
|
||||
load(['C:\Users\Silas\Nextcloud4\Dokumente\02_Ablage_Office\OFC2024\',num2str(rate(r).*1e-9),'GBd_no_dcs.mat'],'b');
|
||||
plot(abs(b(1,:)),b(2,:),'DisplayName',[num2str(rate(r).*1e-9),' GBd; PAM4; mudc: ',0],'LineWidth',1,'Marker','o','MarkerSize',5,'LineStyle',lnsty,'HandleVisibility',handlvis,'Color',colr);
|
||||
end
|
||||
|
||||
hold on
|
||||
b = [parsir(j,parfsym(j,:)==rate(r));ber_w_dcremoval(j,parfsym(j,:)==rate(r))];
|
||||
b=sort(b,2);
|
||||
plot(abs(b(1,:)),b(2,:),'DisplayName',[num2str(rate(r).*1e-9),' GBd; PAM4; mudc: ',num2str(mudc_loop(j))],'LineWidth',1,'Marker',mark,'MarkerSize',5,'LineStyle',lnsty,'HandleVisibility',handlvis,'Color',colr);
|
||||
|
||||
end
|
||||
end
|
||||
set(gca, 'YScale', 'log');
|
||||
yline(3.8e-3,'LineWidth',1, 'LineStyle','--','HandleVisibility','off');
|
||||
xlim([15,35]);
|
||||
xlabel('SIR in dB');
|
||||
ylabel('BER');
|
||||
annotation('textbox',...
|
||||
[0.328380952380952 0.477777777777781 0.197809523809524 0.106349206349207],...
|
||||
'String',{'3.8 $\cdot 10^{-3}$'},...
|
||||
'LineStyle','none',...
|
||||
'Interpreter','latex',...
|
||||
'FitBoxToText','off');
|
||||
|
||||
% legend('Standard EQ','Adaptive DC Subtraction')
|
||||
|
||||
figure(16)
|
||||
hold on
|
||||
plot(mudc_loop,ber_w_dcremoval(:,1));set(gca, 'YScale', 'log');set(gca, 'XScale', 'log');
|
||||
xlim([0,1])
|
||||
Reference in New Issue
Block a user