MPI Simulations and stuff

This commit is contained in:
Silas Oettinghaus
2024-08-14 09:36:51 +02:00
parent 1eeb970d8f
commit 34f9149346
61 changed files with 4295 additions and 429 deletions

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M=4;
fdac = 256e9;%fsym;
fadc = 256e9;
fsym = [96:16:256].*1e9;
%fsym = 160e9;
% 1) PRBS Generation
O = 18; %order of prbs
N = 2^(O-1); %length of prbs
[~,seed] = prbs(O,1); %initialize first seed of prbs
bitpattern=[];
for i = 1:log2(M)
[bitpattern(:,i),seed] = prbs(O,N,seed);
end
if M == 6
bitpattern = reshape(bitpattern,[],1);
bitpattern = bitpattern(1:end-mod(length(bitpattern),5));
end
% 2 ) Build Inf. signal class
bits = Informationsignal(bitpattern);
% 3) Digi modulation -> PAM-M signal
digimod_out = PAMmapper(M,0).map(bits);
% 5) AWG (lowpass, quantization, sample and hold)
kover = 8;
LP_awg = Filter('filtdegree',4,"f_cutoff",75e9,"fs",fdac*kover,"filterType",filtertypes.butterworth);
powerlist = [];
for i = length(fsym):-1:1
digimod_out.fs = fsym(i);
X = Pulseformer("fsym",fsym(i),"fdac",fdac,"pulse","rrc","pulselength",16,"rrcalpha",0.1).process(digimod_out);
%X = digimod_out;
X = AWG("fdac",fdac,"dac_min",-1,"dac_max",1,"lpf_active",1,"H_lpf",LP_awg,"kover",kover,"bit_resolution",5.5,"normalize2dac",1,"upsampling_method","samplehold").process(X);
% 6) Lowpass behavior before laser
X = LP_modulator.process(X);
% 7) Normalize signal
X = X.normalize("mode","oneone");
% 1) Laser; Modulation -> OPTICAL DOMAIN
u_pi = 2;
vbias = -vb(m);
extmodlaser = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",X.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth(l),"randomkey",pn_key(pnk));
E = X.*vp(n);
[Opt,extmodlaser] = extmodlaser.process(E);
figure(m)
hold on
scatter(E.signal(1:100000),(abs(Opt.signal(1:100000)).^2)*1e3,0.1,'.','DisplayName','Modulator TF')
xlabel('Input in V')
ylabel('abs(Output) in mW')
% ER = 10*log10(max(abs(Opt.signal).^2)/min(abs(Opt.signal).^2));
Opt = LP_opt.process(Opt);
cspr(s,l,pnk,n,m) = Opt.cspr;
mod_out_pow(s,l,pnk,n,m) = Opt.power;
% 2) ping pong fiber propagation
Interference_sig = Fiber("fsimu",Opt.fs,"fiber_length",mpi_path*2/1000,"alpha",0,"D",0,"lambda0",1310,"gamma",0).process(Opt);
Interference_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",-sir(s)).process(Interference_sig);
% In the meantime: delay the main signal
[Main_sig,dly] = Opt.delay("delay_meter",mpi_path*2);
% Add
Combined_sig = Main_sig + Interference_sig;
% Cut (due to the delays there is a jump in the signals)
if dly == 0;dly = 1;end
Combined_sig.signal = Combined_sig.signal(ceil(dly):end);
% Fiber
Combined_sig = Fiber("fsimu",Combined_sig.fs,"fiber_length",2,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.08).process(Combined_sig);
powerlist(i)=X.power;
% Sample to 2x fsym
X = X.resample("fs_in",kover*fdac,"fs_out",2*fsym(i));
% Sync Rx signal with reference
[X,D,cuts] = X.tsynch("reference",digimod_out,"fs_ref",fsym(i));
[EQ_sig,EQ_sym] = EQ_silas("Ne",[50,0,0],"Nb",[2,0,0],"trainlength",4096,...
"sps",2,...
"mu_dc_dd",0.00,...
"mu_dc_train",0.0,...
"mu_ffe_train",0.00,...
"mu_dfe_train",0.005,...
"mu_ffe_dd",[0.0004 0.0006 0.0003],...
"mu_dfe_dd",0.005,...
"ddloops",3,...
"trainloops",3,...
"eq_parallelization_blocklength",1, ...
"eq_updatelatency",1,...
"eq_avg_blocklength",0).process(X,digimod_out);
% Demap
Rx_Bits = PAMmapper(M,0).demap(EQ_sig);
% BER
[~,errors_bm,BER(i),errors] = calc_ber(Rx_Bits.signal,bitpattern,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
figure()
stem(fsym.*1e-9,powerlist);
xticks(fsym.*1e-9)

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%clear;
col = linspecer(6);
% GENERATE SIR CURVE
if ismac
foldername = '/Users/silasoettinghaus/Documents/MATLAB/Labor_Datensatz_PAM4_MPI/pam4_10km_1km';
else
foldername = 'C:\Users\Silas\Documents\MATLAB\Datensätze\Labor_Datensatz_PAM4_MPI_OFC2023\pam4_10km_1km';
end
allfiles = dir(foldername);
eq_updatelatency = 2;
eq_avg_blocklength =0;
eq_parallelization_blocklength = 92;
mudc = 0.01;
eq_ofc = EQ_silas_ofc("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
"sps",2,...
"mu_dc_dd",mudc,...
"mu_dc_train",mudc,...
"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",eq_parallelization_blocklength, ...
"eq_updatelatency",eq_updatelatency,...
"eq_avg_blocklength",eq_avg_blocklength);
eq_normal = EQ_silas_ofc("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
"sps",2,...
"mu_dc_dd",0,...
"mu_dc_train",0,...
"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",eq_parallelization_blocklength, ...
"eq_updatelatency",eq_updatelatency,...
"eq_avg_blocklength",eq_avg_blocklength);
mudc = 0.01;
eq_ff = EQ_silas("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
"sps",2,...
"mu_dc_dd",mudc,...
"mu_dc_train",mudc,...
"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",eq_parallelization_blocklength, ...
"eq_updatelatency",eq_updatelatency,...
"eq_avg_blocklength",0);
% [ber_nml,sir_nml,fsym_nml] = sweepSIR(allfiles,eq_normal);
% [ber_ofc,sir_ofc,fsym_ofc] = sweepSIR(allfiles,eq_ofc);
% [ber_ff,sir_ff,fsym_ff] = sweepSIR(allfiles,eq_ff);
% plotBerCurve(ber_nml,sir_nml,fsym_nml);
% plotBerCurve(ber_ofc,sir_ofc,fsym_ofc);
% plotBerCurve(ber_ff,sir_ff,fsym_ff);
measurementpath = 'C:\Users\Silas\Documents\MATLAB\Datensätze\Labor_Datensatz_PAM4_MPI_OFC2023\pam4_10km_1km\pam4__loop_10_92Gbd_19092023_1508.mat';
% measurementpath = findSirAndFsym(allfiles,-30,92e9);
measurementpath = 'C:\Users\Silas\Documents\MATLAB\Datensätze\Labor_Datensatz_PAM4_MPI_OFC2023\pam4_10km_1km\pam4__loop_30_92Gbd_19092023_1547.mat';
% comparePSD(measurementpath)
% [totalbits,errors,ber_,loc,sir,fsym] = singleBerRun(measurementpath, eq_normal);
% [totalbits,errors,ber_,loc,sir,fsym] = singleBerRun(measurementpath, eq_ofc);
[~,~,ber_,~,sir,fsym] = singleBerRun(measurementpath, eq_ff);
mudc_loop = [0, 0.0001,0.0005, 0.001,0.005, 0.01:0.01:0.1, 0.2:0.1:1];
blocklength = [20:20:200];
parfor m = 1:length(mudc_loop)
eq_ff = EQ_silas("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
"sps",2,...
"mu_dc_dd",mudc_loop(m),...
"mu_dc_train",mudc_loop(m),...
"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",eq_parallelization_blocklength, ...
"eq_updatelatency",eq_updatelatency,...
"eq_avg_blocklength",100);%blocklength(m));
[~,~,ber_(m),~,sir(m),fsym(m)] = singleBerRun(measurementpath, eq_ff);
end
figure(2)
hold on
plot(mudc_loop,ber_,'Marker','o')
ylim([1e-4, 1e-2])
yline(3.8e-3);
set(gca, 'YScale', 'log');
set(gca, 'XScale', 'log');
function cur_path = findSirAndFsym(allfiles,sir_desired,fsym_desired)
for i = 1:length(allfiles)
if allfiles(i).bytes ~= 0
cur_path = [allfiles(i).folder,filesep, allfiles(i).name];
recorded_data = load(cur_path);
delete(findobj('Type','figure','Name','prms_compare'));
else
continue
end
sir = recorded_data.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
fsym = recorded_data.saveStructTemp.common.f_sym;
if abs(sir-sir_desired)<1 && abs(fsym-fsym_desired)<1e9
return
end
end
end
function comparePSD(filepath)
recorded_data = load(filepath);
delete(findobj('Type','figure','Name','prms_compare'));
sir = recorded_data.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
fsym = recorded_data.saveStructTemp.common.f_sym;
spectrum_plot(recorded_data.saveStructTemp.dp_tsynch_out',2*fsym);
x = recorded_data.saveStructTemp.dp_tsynch_out';
pwelch(x,hamming(length(x)),[],length(x),2*fsym,"centered","power");
periodogram(x,hamming(length(x)),length(x),"centered","psd");
end
function [totalbits,errors,ber_,loc,sir,fsym] = singleBerRun(filepath, eq_object)
recorded_data = load(filepath);
delete(findobj('Type','figure','Name','prms_compare'));
sir = recorded_data.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
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 = Informationsignal(recorded_data.saveStructTemp.digi_mod_out');
y_digimod.fs = fsym;
bits_ref = recorded_data.saveStructTemp.prms_out;
[totalbits,errors,ber_,loc] = runPostProc(eq_object,y_rx,y_digimod,bits_ref);
disp([class(eq_object),': fsym: ',num2str(fsym*1e-9),'GBd, SIR: ',num2str(sir),' ->> BER: ',sprintf('%2E',ber_)]);
end
function plotBerCurve(ber_,sir,fsym)
rate = [92e9, 56e9];
figure(95)
for r = 1:length(rate)
sorted = sortrows([sir(fsym == rate(r)); ber_(fsym == rate(r))]',1)';
hold on
plot(abs(sorted(1,:)),sorted(2,:),'DisplayName',[num2str(rate(r).*1e-9),' GBd; PAM4;'],'LineWidth',1,'Marker','o','MarkerSize',5,'LineStyle','-','HandleVisibility','on');
end
set(gca, 'YScale', 'log');
yline(3.8e-3,'LineWidth',1, 'LineStyle','--','HandleVisibility','off');
xlim([15,35]);
xlabel('SIR in dB');
ylabel('BER');
end
function [ber_,sir,fsym] = sweepSIR(allfiles,eq_object)
parfor i = 1:length(allfiles)
if allfiles(i).bytes ~= 0
recorded_data = load([allfiles(i).folder,filesep, allfiles(i).name]);
delete(findobj('Type','figure','Name','prms_compare'));
else
continue
end
sir(i) = recorded_data.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
fsym(i) = recorded_data.saveStructTemp.common.f_sym;
fdac(i) = recorded_data.saveStructTemp.common.f_DAC;
fadc(i) = recorded_data.saveStructTemp.common.f_ADC;
% 0) build RX Signal
y_rx = Electricalsignal(recorded_data.saveStructTemp.dp_tsynch_out');
y_rx.fs = 2.*fsym(i);
% 0) build tx reference Signal for eq training
y_digimod = Informationsignal(recorded_data.saveStructTemp.digi_mod_out');
y_digimod.fs = fsym(i);
bits_ref = recorded_data.saveStructTemp.prms_out;
[totalbits,errors,ber_(i),loc] = runPostProc(eq_object,y_rx,y_digimod,bits_ref);
disp(['fsym: ',num2str(fsym(i)*1e-9),'GBd, SIR: ',num2str(sir(i)),' ->> BER: ',sprintf('%2E',ber_(i))]);
end
end
function [totalbits,errors,ber_,loc] = runPostProc(eq_object,y_rx,y_ref,bits_ref)
% 1) normlaize
y_rx = y_rx.normalize("mode","rms");
[Eq_out] = eq_object.process(y_rx,y_ref);
% 3) digital demodulation object
digimod = PAMmapper(4,0);
%estimated/ equalized symbol sequence
d_estimated = digimod.demap(Eq_out);
% 4) BER calculation
[totalbits,errors,ber_,loc] = calc_ber(d_estimated.signal(1:end,:),bits_ref(1:end,:)',"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end

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clear;
col = linspecer(6);
% GENERATE SIR CURVE
if ismac
foldername = '/Users/silasoettinghaus/Documents/MATLAB/Labor_Datensatz_PAM4_MPI/pam4_10km_1km';
else
foldername = 'C:\Users\Silas\Documents\MATLAB\Datensätze\Labor_Datensatz_PAM4_MPI_OFC2023\pam4_10km_1km';
end
% SETTINGS
optimize_mudc = 0;
run_sir_sweep = 1;
run_feed_forward = 0;
run_baseline = 0;
run_ideal_dc_tap = 0;
plot_timesignal = 0;
block_loop = [92];
for bl = 1:numel(block_loop)
eq_parallelization_blocklength = block_loop(bl);
eq_updatelatency = 3;
eq_avg_blocklength =0;
% FIND BEST MU DC
if optimize_mudc
mudc_loop = [0, 0.0001,0.0005, 0.001,0.005, 0.01:0.01:0.1, 0.2:0.1:1];
current_filename = 'pam4__loop_14_92Gbd_19092023_1513.mat';
% current_filename = 'pam4__loop_29_56Gbd_19092023_1546.mat';
recorded_data = load([foldername,filesep, current_filename]);
[best_mudc,ber]= optimizeMuDc(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc_loop);
figure(16)
hold on
scatter(mudc_loop(mudc_loop~=best_mudc),ber(mudc_loop~=best_mudc),'Marker','*','LineWidth',1);
set(gca, 'YScale', 'log');
set(gca, 'XScale', 'log');
scatter(best_mudc,ber(mudc_loop==best_mudc),100,'Marker','*','LineWidth',2)
yline(ber(1));
xlim([0,1])
end
if run_sir_sweep
%mudc = 0.04;%best_mudc;
mudc = 0.005;
[ber,sir,fsym] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc);
plotSirSweep(ber,sir,fsym,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc)
crossing = calculateCrossing([92e9, 56e9],ber,sir,fsym);
req_sir_56(bl) = crossing(2,2) ;
req_sir_92(bl) = crossing(2,1) ;
end
end
if run_feed_forward
current_filename = 'pam4__loop_14_92Gbd_19092023_1513.mat';
recorded_data = load([foldername,filesep, current_filename]);
eq_avg_blocklength = [50,100,1000,3000];
[best_block,ber]= optimizeAvgBlocklength(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,0);
best_block = 400;
[ber_base,sir_base,fsym_base] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,best_block,0);
plotSirSweep(ber_base,sir_base,fsym_base,eq_parallelization_blocklength,eq_updatelatency,best_block,0)
crossing = calculateCrossing([92e9, 56e9],ber_base,sir_base,fsym_base);
[ber_base,sir_base,fsym_base] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,0,0);
plotSirSweep(ber_base,sir_base,fsym_base,eq_parallelization_blocklength,eq_updatelatency,0,0)
crossing = calculateCrossing([92e9, 56e9],ber_base,sir_base,fsym_base);
end
if run_baseline
% baseline means no DC removal alg!
mudc = 0;
[ber_base,sir_base,fsym_base] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc);
plotSirSweep(ber_base,sir_base,fsym_base,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc)
crossing = calculateCrossing([92e9, 56e9],ber_base,sir_base,fsym_base);
req_sir_56_baseline = crossing(2,2) ;
req_sir_92_baseline = crossing(2,1) ;
end
if run_ideal_dc_tap
current_filename = 'pam4__loop_29_56Gbd_19092023_1546.mat';
recorded_data = load([foldername,filesep, current_filename]);
[mudc,~]= optimizeMuDc(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc_loop);
eq_parallelization_blocklength = 1;
eq_updatelatency = 1;
[ber_ideal,sir_ideal,fsym_ideal] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc);
plotSirSweep(ber_ideal,sir_ideal,fsym_ideal,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc)
crossing = calculateCrossing([92e9, 56e9],ber_ideal,sir_ideal,fsym_ideal);
req_sir_56_ideal = crossing(2,2) ;
req_sir_92_ideal = crossing(2,1) ;
end
if plot_timesignal
current_filename = 'pam4__loop_26_92Gbd_19092023_1542.mat';
recorded_data = load([foldername,filesep, current_filename]);
sir = recorded_data.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
fsym = 92e9;
eq_parallelization_blocklength = 1;
eq_updatelatency = 1;
eq_avg_blocklength = 0;
% TRUE SYMBOLS
correct_symbols = recorded_data.saveStructTemp.digi_mod_out';
%3) PLAIN RECEIVED SIGNAL
disp('RX Signal')
y_rx = Electricalsignal(recorded_data.saveStructTemp.dp_tsynch_out');
y_rx.fs = 2.*fsym;
rx_symbols = y_rx.resample("fs_in",2.*fsym,"fs_out",fsym);
rx_symbols = rx_symbols.normalize("mode","rms").signal;
disp(std(rx_symbols));
scatterleveldependent(rx_symbols,correct_symbols,fsym);
%1) PLOT WITH WITH ALGORITHM
if 0
mudc_loop = [0, 0.0001,0.0005, 0.001,0.005, 0.01:0.01:0.1, 0.2:0.1:1];
[mudc,~]= optimizeMuDc(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc_loop);
end
disp('ALGORITHM ')
mudc = 0.05;
results_alg = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength);
disp(results_alg.ber);
rx_symbols = results_alg.EQ_out.signal;
disp(std(rx_symbols));
scatterleveldependent(rx_symbols,correct_symbols,fsym);
%2) JUST EQ
disp('Just EQ')
mudc = 0;
results = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength);
disp(results.ber)
rx_symbols = results.EQ_out.signal;
disp(std(rx_symbols));
scatterleveldependent(rx_symbols,correct_symbols,fsym);
end
function plotSirSweep(ber,sir,fsym,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc)
rate = [92e9, 56e9];
figure(95)
for r = 1:length(rate)
sorted = sortrows([sir(fsym == rate(r)); ber(fsym == rate(r))]',1)';
hold on
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');
end
set(gca, 'YScale', 'log');
yline(3.8e-3,'LineWidth',1, 'LineStyle','--','HandleVisibility','off');
xlim([15,35]);
xlabel('SIR in dB');
ylabel('BER');
end
function [crossing] = calculateCrossing(rate,ber,sir,fsym)
for r = 1:length(rate)
sorted = sortrows([sir(fsym == rate(r)); ber(fsym == rate(r))]',1)';
berVals = sorted(2,:);
xAxis = sorted(1,:);
hdfec = 3.8e-3 .* ones(1,length(sorted));
crossing(:,r) = InterX([hdfec(:)';xAxis],[berVals;xAxis]) ;
end
end
function [ber,sir,fsym] = runSIRsweep(eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc)
% GENERATE SIR CURVE
if ismac
foldername = '/Users/silasoettinghaus/Documents/MATLAB/Labor_Datensatz_PAM4_MPI/pam4_10km_1km';
else
foldername = 'C:\Users\Silas\Documents\MATLAB\Datensätze\Labor_Datensatz_PAM4_MPI_OFC2023\pam4_10km_1km';
end
allfiles = dir(foldername);
for i = 1:length(allfiles)
if allfiles(i).bytes ~= 0
current_filename = allfiles(i).name;
recorded_data = load([foldername,filesep, current_filename]);
else
continue
end
results = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength);
ber(i) = results.ber;
fsym(i) = results.fsym;
sir(i) = results.sir;
disp(['fsym: ',num2str(results.fsym*1e-9),'GBd, SIR: ',num2str(results.sir),' ->> BER: ',sprintf('%2E',results.ber)]);
end
end
function [best_blocklength,ber] = optimizeAvgBlocklength(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength_loop,mudc)
for j = 1:length(eq_avg_blocklength_loop)
eq_avg_blocklength = eq_avg_blocklength_loop(j);
results = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength);
ber(j) = results.ber;
disp(['fsym: ',num2str(results.fsym*1e-9),'GBd, SIR: ',num2str(results.sir),' ->> BER: ',sprintf('%2E',results.ber)]);
end
[~,pos]=min(ber);
best_blocklength = eq_avg_blocklength_loop(pos);
end
function [best_mudc,ber] = optimizeMuDc(recorded_data,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength,mudc_loop)
parfor j = 1:length(mudc_loop)
mudc = mudc_loop(j);
results = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength);
ber(j) = results.ber;
disp(['fsym: ',num2str(results.fsym*1e-9),'GBd, SIR: ',num2str(results.sir),' ->> BER: ',sprintf('%2E',results.ber)]);
end
[~,pos]=min(ber);
best_mudc = mudc_loop(pos);
end
function results = runPostProcessing(recorded_data,mudc,eq_parallelization_blocklength,eq_updatelatency,eq_avg_blocklength)
results.sir = recorded_data.saveStructTemp.awg2scope_keysight_state.eigenlight_mpi - 3.3 + 7.2;
results.fsym = recorded_data.saveStructTemp.common.f_sym;
results.fdac = recorded_data.saveStructTemp.common.f_DAC;
results.fadc = recorded_data.saveStructTemp.common.f_ADC;
% 0) build RX Signal
y_rx = Electricalsignal(recorded_data.saveStructTemp.dp_tsynch_out');
y_rx.fs = 2.*results.fsym;
% 0) build tx reference Signal for eq training
y_digimod = Informationsignal(recorded_data.saveStructTemp.digi_mod_out');
y_digimod.fs = results.fsym;
% 1) normlaize
y_rx = y_rx.normalize("mode","rms");
eq = EQ_silas_ofc("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
"sps",2,...
"mu_dc_dd",mudc,...
"mu_dc_train",mudc,...
"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",eq_parallelization_blocklength, ...
"eq_updatelatency",eq_updatelatency,...
"eq_avg_blocklength",eq_avg_blocklength);
%
% eq = EQ_silas("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
% "sps",2,...
% "mu_dc_dd",mudc,...
% "mu_dc_train",mudc,...
% "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",eq_parallelization_blocklength, ...
% "eq_updatelatency",eq_updatelatency,...
% "eq_avg_blocklength",eq_avg_blocklength);
[Eq_out] = eq.process(y_rx,y_digimod);
results.EQ_out = Eq_out;
% 3) digital demodulation object
digimod = PAMmapper(2^recorded_data.saveStructTemp.common.M,0);
%estimated/ equalized symbol sequence
d_estimated = digimod.demap(Eq_out);
%correct data symbols
d_correct = recorded_data.saveStructTemp.prms_out;
% 4) BER calculation
% BER
[totalbits,errors,results.ber,loc] = calc_ber(d_estimated.signal(1:end,:),d_correct(1:end,:)',"skip_front",100,"skip_end",150,"returnErrorLocation",1);
% [totalbits,errors,results.ber,loc] = calc_ber(d_estimated.signal(1:end,:) ,d_correct(1:end,:)',"skip",0,"returnErrorLocation",1);
end
function std_per_lvl = calcleveldependentstd(rx_symbols,correct_symbols)
error_of_rx_signal = rx_symbols - correct_symbols;
levels = unique(correct_symbols);
for l = 1:4
level_amplitude = levels(l);
std_per_lvl(l) = var(( 1/64 .* movsum(error_of_rx_signal(correct_symbols==level_amplitude),[64/2,64/2]) ));
%std_per_lvl(l) = std(error_of_rx_signal(correct_symbols==level_amplitude));
end
end
function scatterleveldependent(rx_symbols,correct_symbols,f_sym)
col = cbrewer2('Paired',8);
ccnt = -1;
figure1 = figure();
levels = unique(correct_symbols);
start = 1;
ende = length(correct_symbols);
start = 30000;
ende = 40000;
for l = 1:4
ccnt = ccnt+2;
level_amplitude = levels(l);
symbols_for_lvl = NaN(1,length(correct_symbols));
symbols_for_lvl(correct_symbols==level_amplitude) = rx_symbols(correct_symbols==level_amplitude);
std_lvl(l) = std(symbols_for_lvl,'omitnan');
xax_in_sec = ((1:length(correct_symbols)) / f_sym) * 1e6;
xax_in_sec = 1:length(correct_symbols);
scatter(xax_in_sec(start:ende),symbols_for_lvl(start:ende),10,'.','MarkerFaceAlpha',0.5,'MarkerEdgeAlpha',0.5,'MarkerEdgeColor',col(ccnt,:));
hold on;
end
std_lvl = round(std_lvl,2);
disp(std_lvl);
ccnt = 0;
% Add the windowed/ smoothed curves
for l = 1:4
ccnt = ccnt+2;
level_amplitude = levels(l);
symbols_for_lvl = NaN(1,length(correct_symbols));
movmean = 1/250 .* movsum(rx_symbols(correct_symbols==level_amplitude),[250/2,250/2]);
symbols_for_lvl(correct_symbols==level_amplitude) = movmean;
nanx = isnan(symbols_for_lvl);
t = 1:numel(symbols_for_lvl);
symbols_for_lvl(nanx) = interp1(t(~nanx), symbols_for_lvl(~nanx), t(nanx));
xax_in_sec = ((1:length(correct_symbols)) / f_sym) * 1e6;
xax_in_sec = 1:length(correct_symbols);
plot(xax_in_sec(start:ende),symbols_for_lvl(start:ende),'Color',col(ccnt,:));
hold on
end
%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

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% settings
M = 4;
datarate = 224e9;
kover = 8;
% construct trasnmit signal
% transmit including MPI
% receive