MPI Simulations and stuff
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@@ -11,10 +11,9 @@ end
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% SETTINGS
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optimize_mudc = 0;
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run_sir_sweep = 0;
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run_feed_forward = 1;
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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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@@ -33,24 +32,26 @@ for bl = 1:numel(block_loop)
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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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% 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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% plot(mudc_loop,ber);
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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','x','LineWidth',2)
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% yline(ber(1));
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% xlim([0,1])
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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 = best_mudc;
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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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@@ -67,7 +68,7 @@ end
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if run_feed_forward
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current_filename = 'pam4__loop_14_92Gbd_v19092023_1513.mat';
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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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@@ -91,7 +92,8 @@ 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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@@ -219,7 +221,7 @@ function [ber,sir,fsym] = runSIRsweep(eq_parallelization_blocklength,eq_updatela
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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\Labor_Datensatz_PAM4_MPI\pam4_10km_1km';
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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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@@ -236,7 +238,7 @@ function [ber,sir,fsym] = runSIRsweep(eq_parallelization_blocklength,eq_updatela
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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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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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@@ -293,13 +295,27 @@ function results = runPostProcessing(recorded_data,mudc,eq_parallelization_block
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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 = Electricalsignal(recorded_data.saveStructTemp.digi_mod_out');
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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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@@ -328,7 +344,9 @@ function results = runPostProcessing(recorded_data,mudc,eq_parallelization_block
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d_correct = recorded_data.saveStructTemp.prms_out;
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% 4) BER calculation
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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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% 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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