CLEANUP - changes to folder structure

This commit is contained in:
Silas Oettinghaus
2026-03-25 10:57:48 +01:00
parent 0c5ad28f0a
commit 0ae846d3c3
351 changed files with 405 additions and 1294 deletions

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vp = wh.parameter.vp.values(2);
vb = wh.parameter.vb.values(1);
rop = wh.parameter.rop.values;
f=figure(1113);
tiledlayout(2,3)
for sir = [36,26]
for lw = wh.parameter.laser_linewidth.values
nexttile
cols = linspecer(9);
cnt = 1;
for bias = wh.parameter.vb.values
curber = [];
curstd = [];
rop_meas = [];
txpow_meas = wh.getStoValue('mod_out_pow',sir,lw,1,vp,bias,rop(1));
for pn_key = wh.parameter.pn_key.values
curber(end+1,:) = wh.getStoValue('ber',sir,lw,pn_key,vp,bias,rop);
rop_meas(end+1,:) = wh.getStoValue('rop_save',sir,lw,pn_key,vp,bias,rop);
plot(rop_meas(end,:)-txpow_meas, curber(end,:) ,'LineStyle',':','Color',cols(cnt,:),'LineWidth',0.1,'Marker','o','MarkerEdgeColor',[1 1 1],'MarkerFaceColor',cols(cnt,:),'HandleVisibility','off','MarkerSize',1);
hold on
end
[wrst,idx]=max(curber);
for i = 1:numel(idx)
rop_wrst(i)=rop_meas(idx(i),i);
end
plot( rop_wrst-txpow_meas, wrst ,'LineStyle',':','Color',cols(cnt,:),'LineWidth',1,'Marker','^','MarkerSize',5,'MarkerEdgeColor',[1 1 1],'MarkerFaceColor',cols(cnt,:),'HandleVisibility','off');
plot(mean(rop_meas,1)-txpow_meas, mean(curber,1),'DisplayName',['Vbias: ',num2str(bias),' V'],'LineStyle','-','Color',cols(cnt,:),'LineWidth',1,'Marker','o','MarkerEdgeColor',[1 1 1],'MarkerFaceColor',cols(cnt,:));
hold on
cnt = cnt+1;
end
title(['SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz; Vpeakpeak: ',num2str(2*vp)])
set(gca,'YScale','log');
legend('Location','southwest')
xlabel("measured ROP in dBm")
ylabel("BER")
yline(3.8e-3,'DisplayName','FEC');
xlim([-5,3]);
ylim([1e-4,3e-1]);
drawnow
end
end

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vp = wh.parameter.vp.values(1);
vb = wh.parameter.vb.values(1);
rop = wh.parameter.rop.values;
f=figure(113);
tiledlayout(2,4)
for sir = [20,36]
for lw = wh.parameter.laser_linewidth.values
nexttile
cols = linspecer(9);
cnt = 1;
for bias = wh.parameter.vb.values(1:2:end-1)
curber = [];
curstd = [];
rop_meas = [];
txpow_meas = wh.getStoValue('mod_out_pow',sir,lw,1,vp,bias,rop(1));
for pn_key = wh.parameter.pn_key.values
rop_meas(end+1,:) = wh.getStoValue('rop_save',sir,lw,pn_key,vp,bias,rop);
curstd(end+1,:,:) = wh.getStoValue('level_std',sir,lw,pn_key,vp,bias,rop);
end
std_ = squeeze(mean(curstd,1))';
symbols = ["square",'o','+','x'];
for l =1:size(std_,1)
plot(mean(rop_meas,1)-txpow_meas, std_(l,:) ,'DisplayName',['Vbias: ',num2str(bias),' V; Pam-lvl: ',num2str(l)],'LineStyle','-','Color',cols(cnt,:),'LineWidth',1,'Marker',symbols(l),'MarkerEdgeColor',[1 1 1],'MarkerFaceColor',cols(cnt,:));
hold on
end
cnt = cnt+1;
end
title(['SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz; Vpeakpeak: ',num2str(2*vp)])
legend('Location','northeast')
xlabel("measured ROP in dBm")
ylabel("Std")
ylim([0.12,0.27]);
drawnow
end
end

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files = ["imdd_simulation\projects\MPI_April\wh_pam4_dienstag.mat","imdd_simulation\projects\MPI_April\wh_pam6_dienstag.mat"];
linesstyles = ["-","--"];
vp = wh.parameter.vp.values;
vb = wh.parameter.vb.values;
sir = wh.parameter.sir.values(end); % 20 22 24 26 28 30 32 34 36
rop = wh.parameter.rop.values(end);
lw = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
bias = wh.parameter.vb.values(1:end-2);
figure()
tiledlayout(2,3)
cols = linspecer(4);
for d = 1:2
load(files(d));
for lw = wh.parameter.laser_linewidth.values
nexttile
curber = [];
for v = 1:numel(wh.parameter.vp.values)
vp_ = wh.parameter.vp.values(v);
for b = 1:numel(bias)
for k = pn_key
curber(k,b) = wh.getStoValue('ber',sir,lw,k,vp_,bias(b),rop);
end
end
meanber = mean(curber,1);
hold on
delta = meanber-curber;
yneg = abs(max(delta));
ypos = abs(min(delta));
if d == 1
curvename = ['PAM4, Vpp:',num2str((vp_/2*2)*100),' %'];
[hl,hp] = boundedline(2-bias,meanber,([yneg;ypos]'),'-o','alpha','Color',cols(v,:),'transparency', 0.1,'linewidth',0.7);
hl.MarkerFaceColor = cols(v,:);
hl.MarkerSize = 3;
hl.LineStyle = '-';
hl.DisplayName = curvename;
set(hp,'HandleVisibility','off');
ho = outlinebounds(hl,hp);
set(ho, 'linestyle', ':', 'color', cols(v,:),'Linewidth',0.5);
set(ho,'HandleVisibility','off');
% errorbar(2-bias,meanber,yneg,ypos,'LineStyle',linesstyles(d),'Marker','o','Color',cols(v,:),'MarkerSize',4,'MarkerFaceColor',cols(v,:),'MarkerEdgeColor',cols(v,:),'DisplayName',curvename);
elseif d == 2
curvename = ['PAM6, Vpp:',num2str((vp_/2*2)*100),' %'];
[hl,hp] = boundedline(2-bias,meanber,([yneg;ypos]'),'-o','alpha','Color',cols(v,:),'transparency', 0.1,'linewidth',0.7);
hl.MarkerFaceColor = cols(v,:);
hl.MarkerSize = 3;
hl.LineStyle = '--';
hl.DisplayName = curvename;
set(hp,'HandleVisibility','off');
ho = outlinebounds(hl,hp);
set(ho, 'linestyle', ':', 'color', cols(v,:),'Linewidth',0.5);
set(ho,'HandleVisibility','off');
% errorbar(2-bias,meanber,yneg,ypos,'LineStyle',linesstyles(d),'Marker','square','Color',cols(v,:),'MarkerSize',4,'MarkerFaceColor',cols(v,:),'MarkerEdgeColor',cols(v,:),'DisplayName',curvename);
end
%
% plot(2-bias, meanber,'LineStyle',linesstyles(d),'LineWidth',0.5,'DisplayName',curvename,'Color',cols(v,:));
% scatter(2-bias,curber,4,'o','MarkerFaceColor',cols(v,:),'MarkerEdgeColor',cols(v,:),'HandleVisibility','off');
hold on
title(['SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz'])
set(gca,'YScale','log');
legend('Location','southwest')
xlabel("Bias in V")
ylabel("BER")
xlim([0.4,1]);
ylim([1e-4,3e-1]);
end
yline(3.8e-3,'DisplayName','FEC');
end
end

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files = ["imdd_simulation\projects\MPI_April\wh_pam4_dienstag.mat","imdd_simulation\projects\MPI_April\wh_pam6_dienstag.mat"];
linesstyles = ["-","--"];
vp = wh.parameter.vp.values;
vb = wh.parameter.vb.values;
sir = wh.parameter.sir.values(4);
rop = wh.parameter.rop.values(end);
lw = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
bias = wh.parameter.vb.values(1:end-3);
figure()
tiledlayout(2,3)
cols = flip(cbrewer2("RdYlBu",32));
for d = 1:2
load(files(d));
for lw = wh.parameter.laser_linewidth.values
nexttile
curber = [];
meanber = [];
for v = 1:numel(wh.parameter.vp.values)
vp_ = wh.parameter.vp.values(v);
for b = 1:numel(bias)
for k = pn_key
curber(k,b) = wh.getStoValue('ber',sir,lw,k,vp_,bias(b),rop);
end
end
meanber(v,:) = mean(curber,1);
end
levels = [1e-4, reshape([1e-4; 1e-3; 1e-2]*[2:2:10],1,[])];
contourf(2-bias,wh.parameter.vp.values*100, meanber,levels,'DisplayName',"BER","EdgeAlpha",0.5,'LineStyle','--');
colormap(cols)
set(gca,'ColorScale','log');
xlabel('bias ')
ylabel('vpp in %')
clim([1e-4 3e-1]);
if d == 1
title(['PAM4 - SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz'])
elseif d == 2
title(['PAM6 - SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz'])
end
end
end

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files = ["imdd_simulation\projects\MPI_April\wh_pam4_dienstag.mat","imdd_simulation\projects\MPI_April\wh_pam6_dienstag.mat"];
linesstyles = ["-","--"];
vp = wh.parameter.vp.values;
vb = wh.parameter.vb.values;
sir = wh.parameter.sir.values(end);
rop = wh.parameter.rop.values(end);
lw = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
bias = wh.parameter.vb.values(1:end-3);
figure()
tiledlayout(2,3)
cols = flip(cbrewer2("RdYlBu",32));
for d = 1:2
load(files(d));
nexttile
for lw = wh.parameter.laser_linewidth.values
curcspr = [];
meancspr = [];
for v = 1:numel(wh.parameter.vp.values)
vp_ = wh.parameter.vp.values(v);
for b = 1:numel(bias)
for k = pn_key
curcspr(k,b) = wh.getStoValue('cspr',sir,lw,k,vp_,bias(b),rop);
end
end
meancspr(v,:) = mean(curcspr,1);
hold on
plot(2-bias,meancspr(v,:),'DisplayName',['vpp: ',num2str(vp_)]);
end
if d == 1
title(['PAM4 - SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz'])
elseif d == 2
title(['PAM6 - SIR: ',num2str(sir),'; Lw: ',num2str(lw*1e-6),' MHz'])
end
end
end

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%% Settings
clear
for M=[8]
filename = '112G_2';
load_sequence = 0;
datarate = 224e9;
kover = 16;
fsym = round(datarate*1e-9 / log2(M))*1e9;
fdac = 256e9;%fsym;
fadc = 256e9;
lowpass_cutoff = fsym/2 * 1.1;
awg_bw = lowpass_cutoff;
mod_bw = lowpass_cutoff;
phd_bw = lowpass_cutoff;
scp_bw = lowpass_cutoff;
LP_awg = Filter('filtdegree',4,"f_cutoff",75e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true);
LP_modulator= Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true);
LP_opt = Filter('filtdegree',3,"f_cutoff",fsym/log2(M).*1.5,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true);
LP_phd = Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true);
LP_scpe = Filter('filtdegree',4,"f_cutoff",110e9,"fs",fadc,"filterType",filtertypes.butterworth,"active",true);
% 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);
digimod_out.fs = fsym;
sir = [20:2:36]; %decibel = attenuation of interference path
laser_linewidth = [1e5 1e6 10e6];
pn_key = [1:10];
vp = [0.25,0.5,0.75,1];
vb = [1:0.1:1.8];
rop = 0;
sir = 25;
laser_linewidth = 0;
pn_key = 9;
vp = 1;%0.5;
vb = 1;%[1:0.1:1.8];
mpi_path = 0;
cnt = 1;
for s = 1:length(sir)
for l = 1:length(laser_linewidth)
for pnk = 1:length(pn_key)
for n = 1:length(vp)
for m = 1:length(vb)
%digimod_out = digimod_out.normalize("mode","oneone");
% cnt = cnt+1;
%X = Pulseformer("fsym",fsym,"fdac",fdac,"pulse","rrc","pulselength",16,"rrcalpha",0.05).process(digimod_out);
X = digimod_out;
% 5) AWG (lowpass, quantization, sample and hold)
X = AWG("fdac",fdac,"dac_min",-1,"dac_max",1,"lpf_active",1,"H_lpf",LP_awg,"kover",kover,"bit_resolution",16,"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",0,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.08).process(Combined_sig);
for i = 1:length(rop)
% Set ROP
Rx_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",rop(i)).process(Combined_sig);
rop_save(s,l,pnk,n,m,i) = Rx_sig.power;
% Square Law
Rx_sig = Photodiode("fsimu",Rx_sig.fs,"dark_current",2e-08,"responsivity",1,"temperature",20).process(Rx_sig);
%Lowpass PhDiode
Rx_sig = LP_phd.process(Rx_sig);
% Scope
Scpe_sig = Scope("fsimu",Rx_sig.fs,"fadc",fadc,...
"delay",0,"fixed_delay",0,"lpf_bw",scp_bw,"filtertype",filtertypes.butterworth,...
"samplingdelay",0,"rand_samplingdelay",0,"freq_offset",0,"samp_jitter",0,...
"adcresolution",16,"quantbuffer",0.1,'block_dc',1,'lpf_active',1,'H_lpf',LP_scpe).process(Rx_sig);
% Sample to 2x fsym
Scpe_sig = Scpe_sig.resample("fs_in",fadc,"fs_out",2*fsym);
% Sync Rx signal with reference
[Scpe_sig,D,cuts] = Scpe_sig.tsynch("reference",digimod_out,"fs_ref",fsym);
Scpe_sig.spectrum;
[EQ_sig,EQ_sym] = EQ_silas("Ne",[50,8,8],"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",0,...
"eq_avg_blocklength",0).process(Scpe_sig,digimod_out);
% Demap
Rx_Bits = PAMmapper(M,0).demap(EQ_sig);
% BER
[~,errors_bm,BER(s,l,pnk,n,m,i),errors] = calc_ber(Rx_Bits.signal,bitpattern,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
formatted_ber = sprintf('%.1e', BER(s,l,pnk,n,m,i));
disp(['SIR: ',num2str(sir(s)),'; Lw:',num2str(laser_linewidth(l)),'; Key:',num2str(pn_key(pnk)),'; Vpeak: ',num2str(vp(n)),'; Vbias',num2str(vbias),'; BER: ',formatted_ber,'; run: ',num2str(cnt),' / 12961']);
% plot_analysis_window;
% drawnow;
end
end
end
% save('pam4_level_comp');
disp('saved_run2');
end
end
end
% BER plot
figure(340)
cols = linspecer(7);
for m = 1:size(BER,1)
hold on
plot(rop,BER(m,:),'DisplayName',['Bias: ',num2str(vb(m)), ' V; PAM', num2str(M)],'LineStyle','--','Color',cols(M/2,:),'LineWidth',1,'Marker','square','MarkerEdgeColor',[1 1 1],'MarkerFaceColor',cols(M/2,:));
end
set(gca,'YScale','log');
legend
xlabel("ROP in dBm")
yline(3.8e-3,'DisplayName','FEC');
end
figure(2)
LP_awg.showHere;
LP_modulator.showHere;
LP_opt.showHere;
LP_phd.showHere;
LP_scpe.showHere;
% figure('Name','spectrum')
% tiledlayout(4,1)
% nexttile
% spectrum_plot(E.signal,E.fs,'spectrum');
% nexttile
% spectrum_plot(Opt.signal,Opt.fs,'spectrum');
% nexttile;
% spectrum_plot(Rx_sig.signal,Rx_sig.fs,'spectrum');
% nexttile
% spectrum_plot(EQ_sig.signal,EQ_sig.fs,'spectrum');
% save(['C:\Users\Silas\Nextcloud4\Dokumente\02_Ablage_Office\MPI\Investigation_April_2024\','PAM_',num2str(M),'_mpi_',num2str(mpi_path),'_lw_',num2str(laser_linewidth)],"BER");
%
%
% figure(21)
% hold on
% plot(rop,mean(BER),'DisplayName',['Modulation: ',num2str(2*vp/extmodlaser.u_pi*100), ' $\%$'],'LineStyle','-','Color',cols(2,:),'LineWidth',1);
% set(gca,'YScale','log');
% legend
% ylabel("ROP in dBm")
% yline(3.8e-3,'DisplayName','FEC');
%
%
%
%
%
%
%
%
% %check Rx and TX symbols
% figure(101)
% scatter(1:100,Rx_symboldecision.signal(1:100),10,'o');
% hold on
% scatter(1:100,digimod_out.signal(1:100),5,'x');

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field=sqrt(10^(3/10-3)); %dbm to sqrt(mw)
vpi = 2;
vbias = 1;
vin = 0.1;
(field * cos(pi/2*(vin+vbias)/vpi)).^2

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%straight outta workspace, show everything I want
cols = linspecer(8);
colpairs = cbrewer2('paired',8);
f=figure(20);
clf(f)
f.Name="Optspec";
%Spectrum of Optical Signal after superposition
subplot(3,2,1:2)
spectrum_plot(Combined_sig.normalize("mode","rms").signal',Combined_sig.fs,'Optspec',['Papr: ',num2str(Combined_sig.papr), '; CSPR: ',num2str(Combined_sig.cspr)]);
hold on
ylim([-100,0]);
%Phase Investigation
subplot(3,2,3)
hold on
phase_int = extmodlaser.phase(ceil(dly):end);
phase_main = delayseq(extmodlaser.phase,ceil(dly));
phase_main = phase_main(ceil(dly):end);
phase_diff = phase_int - phase_main;
t = (1:length(phase_int))' ./ extmodlaser.fsimu ;
plot(t*1e6,phase_int,'Color',colpairs(1,:),'DisplayName','Interferer Phase');
plot(t*1e6,phase_main,'Color',colpairs(2,:),'DisplayName','Signal Phase (delayed)');
plot(t*1e6,phase_diff,'Color',colpairs(4,:),'DisplayName','Delta Phase');
legend
subplot(3,2,4)
%Received Signal after Phdiode
yyaxis left
t = (1:Rx_sig.length)' ./ Rx_sig.fs;
scatter(t*1e6,Rx_sig.normalize("mode","oneone").signal.*max(unique(digimod_out.signal)),1,'.','MarkerEdgeColor',cols(6,:));
hold on
errors_t = errors./Rx_Bits.fs;
errors_sym = Rx_symboldecision.signal(errors);
scatter(errors_t*1e6,errors_sym,2,'x','LineWidth',1);
yline(PAMmapper(M,0).thresholds);
%Again: Phase Diff
yyaxis right
t = (1:length(phase_int))' ./ extmodlaser.fsimu ;
plot(t*1e6,phase_diff,'Color',colpairs(4,:),'DisplayName','Delta Phase');
title(['Lwidth:',num2str(laser_linewidth) ,'; SIR: ', num2str(sir) ,'dB; ROP: ',num2str(rop(i)),' dBm'])
xlabel('t in $\mu$s')
legend
%Equalized Signal
subplot(3,2,5)
t = (1:EQ_sig.length)' ./ EQ_sig.fs;
for h = 1:size(levels,2)
scatter(t*1e6,levels(:,h),1,'.');
hold on
end
%yline(PAMmapper(M,0).thresholds);
title(['BER: ',sprintf('%.1e', BER(s,l,pnk,n,m,i))]);
%Histogram of EQzed Signal
subplot(3,2,6)
for h = 1:size(levels,2)
std_dev = std(levels(:,h),'omitnan');
mean_val = mean(levels(:,h),'omitnan');
hold on
histogram(levels(:,h),1000,"EdgeColor","none","Normalization","pdf");
text(mean_val, 0.1, ['$\sigma^2:$ ',sprintf('%.2f', std_dev)], 'HorizontalAlignment', 'center');
end
hold on
xline(PAMmapper(M,0).thresholds);
xticks(sort([unique(digimod_out.signal);PAMmapper(M,0).thresholds']));

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sir = [20:2:36]; %decibel = attenuation of interference path
laser_linewidth = [1e5 1e6 3e6 10e6];
pn_key = [1:10];
vp = [0.25];
vb = [1:0.1:1.8];
rop = -9:3;
sir = [20:2:36]; %decibel = attenuation of interference path
laser_linewidth = [1e5 1e6 10e6];
pn_key = [1:10];
vp = [0.25,0.5,0.75,1];
vb = [1:0.1:1.8];
rop = -5:0;
params = struct;
params.sir = [20:2:36]; %decibel = attenuation of interference path
params.laser_linewidth = [1e5 1e6 10e6];
params.pn_key = [1:10];
params.vp = [0.25,0.5,0.75,1];
params.vb = [1:0.1:1.8];
params.rop = -5:0;
wh = DataStorage(params);
wh.addStorage("ber");
wh.addStorage("level_avg");
wh.addStorage("level_std");
wh.addStorage("rop_save");
wh.addStorage("cspr");
wh.addStorage("mod_out_pow");
cnt = 1;
for s = 1:length(sir)
for l = 1:length(laser_linewidth)
for pnk = 1:length(pn_key)
for n = 1:length(vp)
for m = 1:length(vb)
for i = 1:length(rop)
cnt = cnt +1;
wh.addValueToStorage(BER(s,l,pnk,n,m,i),'ber',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
% wh.addValueToStorage(level_avg(s,l,pnk,n,m,i,:),'level_avg',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
% wh.addValueToStorage(level_std(s,l,pnk,n,m,i,:),'level_std',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
wh.addValueToStorage(rop_save(s,l,pnk,n,m,i),'rop_save',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
wh.addValueToStorage(cspr(s,l,pnk,n,m),'cspr',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
wh.addValueToStorage(mod_out_pow(s,l,pnk,n,m),'mod_out_pow',sir(s),laser_linewidth(l),pn_key(pnk),vp(n),vb(m),rop(i));
end
end
end
end
end
end
% 4) Hey! the warehouse is here and (hopefully) filled with data :-)
% Create a save dialog
defaultDir = 'C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\MPI_April';
defaultExt = '*.mat';
[filename, pathname] = uiputfile(fullfile(defaultDir, defaultExt),'', 'wh.mat');
% Check if the user pressed Cancel
if isequal(filename, 0) || isequal(pathname, 0)
disp('Save operation canceled.');
else
% Save the variable to the selected file
save(fullfile(pathname, filename), 'wh');
disp(['Variable "wh" saved to: ', fullfile(pathname, filename)]);
end

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function simulate_tx_sig(filename)
%% Params
M=4;
digimod = PAMmapper(M,0);
fdac = 120e9;
fsym = 112e9;
pulseform = Pulseformer("pulseform","rrc","fdac",fdac,"fsym",fsym,"pulselength",32,"rrcalpha",0.027);
kover = 16;
awg = AWG('fdac',fdac,'kover',kover,'lpf_active',1,'f_cutoff',56e9,'lpf_type',filtertypes.gaussian,'bit_resolution',5.5);
%awg = M8199B();
lp_laser = Filter('filtdegree',2,"f_cutoff",50e9,"fsamp",fdac*kover,"filterType",filtertypes.butterworth);
%% PROCESS TX
% 1) PRBS Generation
O = 20; %order of prbs
N = 2^(O-1); %length of prbs
[~,seed] = prbs(O,1); %initialize first seed of prbs
for i = 1:log2(M)
[bitpattern(:,i),seed] = prbs(O,N,seed);
end
% 2 ) Build Inf. signal class
bits = Informationsignal(bitpattern);
% 3) Digi modulation -> PAM-M signal
digimod_out = digimod.map(bits);
% 4) Pulse shaping -> racos
X = pulseform.process(digimod_out);
% 5) AWG (lowpass, quantization, sample and hold)
X = awg.process(X);
% 6) Lowpass behavior before laser
X = lp_laser.process(X);
% 7) Normalize signal
X = X.normalize("mode","oneone");
X.signal = X.signal;
spectrum_plot(X.signal',X.fs,'spectrum');
if nargin == 1
save(['C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\',char(filename)],'X');
end
end

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Scope_sig = load("projects/MPI_August/scpe_sig.mat","Scpe_sig");
Scope_sig = Scope_sig.Scpe_sig;
Symbols = load("projects/MPI_August/symbols.mat","Symbols");
Symbols = Symbols.Symbols;
Bits = load("projects/MPI_August/bits.mat","Bits");
Bits = Bits.Bits;
mdc = [1e-3,1e-2,2e-2,3e-2,4e-2,5e-2,1e-1];
mdc = [0.6, 0.7, 0.8, 1, 1.2];
for m = 1:numel(mdc)
Eq = FFE_DCremoval("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0,"mu_dc",mdc(m),"dc_buffer_len",112);
[EQ_sig] = Eq.process(Scope_sig,Symbols);
%%%%% DEMAP %%%%%%
Rx_bits = PAMmapper(4,0).demap(EQ_sig);
% BER
[~,errors_bm,ber(m),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
figure()
scatter(mdc,ber,20);
yline(3.8e-3,'DisplayName','HD-FEC');
xlabel('Mu DC');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. Mu DC');
set(gca,'yscale','log');
set(gca,'xscale','log');
grid on;
legend
%%%% Look at Pam levels %%%%%
if 1
a = PAMmapper(4,0).separate_pamlevels(EQ_sig);
figure(14);hold on;scatter(1:EQ_sig.length,a,1,'.');
end

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Scope_sig = load("projects/MPI_August/scpe_sig.mat","Scpe_sig");
Scope_sig = Scope_sig.Scpe_sig;
Symbols = load("projects/MPI_August/symbols.mat","Symbols");
Symbols = Symbols.Symbols;
Bits = load("projects/MPI_August/bits.mat","Bits");
Bits = Bits.Bits;
lenbuff = [80];
for m = 1:numel(lenbuff)
Eq = FFE_adaptive_decision("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0,"buffer_length",lenbuff(m));
[EQ_sig] = Eq.process(Scope_sig,Symbols);
%%%%% DEMAP %%%%%%
Rx_bits = PAMmapper(4,0).demap(EQ_sig);
% BER
[~,errors_bm,ber,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['BER: ',sprintf('%.1E',ber)]);
end
% fs = 2*112e9;
% N = 2^(nextpow2(length(Eq.error(1,:)))-6);
% [p_lin,w] = pwelch(Eq.error(1,:),hanning(N),N/2,N,fs,"centered","power","mean");
% p_dbm = 10*log10(p_lin)+30; %dB to dBm in case of "power"
% figure(123); % If figure does not exist, create new figure
% hold on
% plot(w.*1e-9,p_dbm,'DisplayName',['bla'],'LineWidth',1);
% xlabel("Frequency in GHz");
% %ylabel("Power/frequency (dB/Hz)");
% ylabel("Power (dBm)");
% xlim([-fs/2 fs/2].*1e-9)
% edgetick = 2^(nextpow2(fs*1e-9));
% xticks([-edgetick:16:edgetick]);
% xlim([-244, 244])
% ylim([-120,-0]);
% yticks([-200:10:10]);
% legend
%%%% Look at Pam levels %%%%%
if 1
a = PAMmapper(4,0).separate_pamlevels(EQ_sig);
figure(15);hold on;scatter(1:EQ_sig.length,a,1,'.');
end

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Scope_sig = load("projects/MPI_August/scpe_sig.mat","Scpe_sig");
Scope_sig = Scope_sig.Scpe_sig;
Symbols = load("projects/MPI_August/symbols.mat","Symbols");
Symbols = Symbols.Symbols;
Bits = load("projects/MPI_August/bits.mat","Bits");
Bits = Bits.Bits;
mubuff = [0.5];
for m = 1:numel(mubuff)
Eq = FFE_FFDCAVG("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0,"mu_buff",mubuff(m));
[EQ_sig] = Eq.process(Scope_sig,Symbols);
%%%%% DEMAP %%%%%%
Rx_bits = PAMmapper(4,0).demap(EQ_sig);
% BER
[~,errors_bm,ber,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['BER: ',sprintf('%.1E',ber)]);
end
% fs = 2*112e9;
% N = 2^(nextpow2(length(Eq.error(1,:)))-6);
% [p_lin,w] = pwelch(Eq.error(1,:),hanning(N),N/2,N,fs,"centered","power","mean");
% p_dbm = 10*log10(p_lin)+30; %dB to dBm in case of "power"
% figure(123); % If figure does not exist, create new figure
% hold on
% plot(w.*1e-9,p_dbm,'DisplayName',['bla'],'LineWidth',1);
% xlabel("Frequency in GHz");
% %ylabel("Power/frequency (dB/Hz)");
% ylabel("Power (dBm)");
% xlim([-fs/2 fs/2].*1e-9)
% edgetick = 2^(nextpow2(fs*1e-9));
% xticks([-edgetick:16:edgetick]);
% xlim([-244, 244])
% ylim([-120,-0]);
% yticks([-200:10:10]);
% legend
%%%% Look at Pam levels %%%%%
if 1
a = PAMmapper(4,0).separate_pamlevels(EQ_sig);
figure(15);hold on;scatter(1:EQ_sig.length,a,1,'.');
end

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M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sir = wh.parameter.sir.values(1);
laser_linewidth = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values(1);
rop = wh.parameter.rop.values;
cfs = wh.parameter.vbias_rel.values;
cols = linspecer(6);
c_cnt = 0;
for c = cfs
c_cnt = c_cnt+1;
for pnk = pn_key
%get ROP curve data for cur. sir and realization
ber_ffe = wh.getStoValue('ber_ffe',M,datarate,sir,laser_linewidth,pnk,rop,c);
try
rrop_ffe(c_cnt,1) = getIntersection(ber_ffe,rop);
end
if 1
% Create rop plot
figure(43);
hold on; % Retain the plot so new points can be added without complete redraw
plot(rop,ber_ffe',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName","ber ffe",'Color',cols(5,:));
yline(3.8e-3,'DisplayName','HD-FEC');
xlabel('Signal to Interference Ratio (dB)');
ylabel('Bit Error Rate (BER)');
set(gca,'yscale','log');
grid on;
legend
end
end
end
figure(2243);
hold on; % Retain the plot so new points can be added without complete redraw
plot(cfs,mean(rrop_ffe,2,"omitnan")',"LineWidth",1,"LineStyle","--","Marker",".","MarkerSize",10,"DisplayName","FFE",'Color',cols(5,:));
xlabel('Clipfactor');
ylabel('Receiver Sensitivity');
%title(['Bit Error Rate vs. SIR; SIR: ',num2str(s),' dB']);
grid on;
legend
function i = getIntersection(ber,rop)
%get intersection between rop curve and hd-fec limit
hdfec = 3.8e-3 .* ones(size(ber));
i = InterX([rop;hdfec'],[rop;ber']);
if isempty(i)
i = NaN;
else
i = i(1);
end
end

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M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sirs = wh.parameter.sir.values;
laser_linewidths = wh.parameter.laser_linewidth.values;
pnoi = wh.parameter.pn_key.values;
rop = wh.parameter.rop.values;
winlengths = wh.parameter.winlength.values(1);
cols = linspecer(numel(winlengths));
figure(44);
hold on
cntlw = 0;
for laser_linewidth = laser_linewidths
cntlw = cntlw+1;
cntsir = 0;
for sir = sirs
cntsir = cntsir+1;
for pnk = pnoi
%cnt = cnt+1;
ber_ffe = wh.getStoValue('ber_ffe',M,datarate,sir,laser_linewidth,pnk,rop,winlength);
rrop_ffe(cntsir) = getIntersection(ber_ffe,rop);
end
end
plot(sirs,rrop_ffe,'DisplayName',['Linewidth: ',num2str(laser_linewidth.*1e-6),' MHz'],"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10)
xlabel('Signal to Interference Ratio (dB)');
ylabel('Sensitivity in dBm');
title('Receiver Sensitivity vs. SIR');
set(gca,'Box','on');
grid on;
grid minor
legend
end
function i = getIntersection(ber,rop)
%get intersection between rop curve and hd-fec limit
hdfec = 3.8e-3 .* ones(size(ber));
i = InterX([rop;hdfec'],[rop;ber']);
if isempty(i)
i = NaN;
else
i = i(1);
end
end

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M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sirs = wh.parameter.sir.values;
laser_linewidth = wh.parameter.laser_linewidth.values(1);
pnoi = wh.parameter.pn_key.values;
rop = wh.parameter.rop.values;
winlengths = wh.parameter.winlength.values;
cols = linspecer(numel(winlengths));
figure(44);
hold on
cnt = 0;
for winlength = winlengths
cnt = cnt+1;
for sir = sirs
for pnk = pnoi
%cnt = cnt+1;
ber_ffe = wh.getStoValue('ber_ffe',M,datarate,sir,laser_linewidth,pnk,rop,winlength);
rrop_ffe(cnt,pnk) = getIntersection(ber_ffe,rop);
if sum(ber_ffe)
plot(rop,ber_ffe',"LineWidth",0.5,"LineStyle","-","Marker",".","MarkerSize",15,"DisplayName",['win len: ',num2str(winlength), ' '],"Color",cols(cnt,:));
yline(3.8e-3,'DisplayName','HD-FEC','LineStyle','--','HandleVisibility','off');
xlabel('Received Optical Power (dBm)');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. ROP');
set(gca,'yscale','log');
set(gca,'Box','on');
grid on;
grid minor
legend
end
end
end
end
figure(123)
hold on
plot(winlengths,mean(rrop_ffe,2),'DisplayName',['Linewidth: 10 MHz'],"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10)
xlabel('Window Length');
ylabel('Sensitivity in dBm');
title('Receiver Sensitivity vs. Window Length');
set(gca,'Box','on');
grid on;
grid minor
legend
function i = getIntersection(ber,rop)
%get intersection between rop curve and hd-fec limit
hdfec = 3.8e-3 .* ones(size(ber));
i = InterX([rop;hdfec'],[rop;ber']);
if isempty(i)
i = NaN;
else
i = i(1);
end
end

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M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sirs = wh.parameter.sir.values;
laser_linewidth = wh.parameter.laser_linewidth.values(1);
pnoi = wh.parameter.pn_key.values;
rop = wh.parameter.rop.values;
hpf = wh.parameter.hpf.values(2);
cols = linspecer(16);
for lw = laser_linewidth
cnt = 0;
for sir = sirs
cnt = cnt+1;
for pnk = pnoi
%cnt = cnt+1;
ber_ffe = wh.getStoValue('ber_ffe',M,datarate,sir,lw,pnk,rop,fc);
rrop_ffe(cnt,pnk) = getIntersection(ber_ffe,rop);
% if 0
% % Create the initial plot
% figure(44);
% a = gca;
% cnt = numel(a.Children)+1;
% hold on; % Retain the plot so new points can be added without complete redraw
% end
if sum(ber_ffe)
figure(44);
plot(rop,ber_ffe',"LineWidth",0.5,"LineStyle","-","Marker",".","MarkerSize",15,"DisplayName","FFE only",'Color',cols(cnt,:));
yline(3.8e-3,'DisplayName','HD-FEC','LineStyle','--','HandleVisibility','off');
xlabel('Received Optical Power (dBm)');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. ROP');
set(gca,'yscale','log');
set(gca,'Box','on');
grid on;
grid minor
legend
end
end
end
figure(123)
hold on
plot(sirs,mean(rrop_ffe,2),'DisplayName',['lw: ',num2str(lw), ' MHz'],"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10)
xlabel('Signal to Interference (dBm)');
ylabel('Sensitivity in dBm');
title('Receiver Sensitivity vs. SIR');
set(gca,'Box','on');
grid on;
grid minor
legend
end
function i = getIntersection(ber,rop)
%get intersection between rop curve and hd-fec limit
hdfec = 3.8e-3 .* ones(size(ber));
i = InterX([rop;hdfec'],[rop;ber']);
if isempty(i)
i = NaN;
else
i = i(1);
end
end

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M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sirs = wh.parameter.sir.values;
laser_linewidth = wh.parameter.laser_linewidth.values(1);
pnoi = wh.parameter.pn_key.values;
rop = wh.parameter.rop.values;
hpfs = wh.parameter.hpf.values;
cols = linspecer(16);
figure(44);
hold on
for hpf = hpfs
cnt = 0;
for sir = sirs
cnt = cnt+1;
for pnk = pnoi
%cnt = cnt+1;
ber_ffe = wh.getStoValue('ber_ffe',M,datarate,sir,lw,pnk,rop,hpf);
% rrop_ffe(cnt,pnk) = getIntersection(ber_ffe,rop);
if sum(ber_ffe)
plot(rop,ber_ffe',"LineWidth",0.5,"LineStyle","-","Marker",".","MarkerSize",15,"DisplayName",['fc: ',num2str(hpf.*1e-6), ' MHz']);
yline(3.8e-3,'DisplayName','HD-FEC','LineStyle','--','HandleVisibility','off');
xlabel('Received Optical Power (dBm)');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. ROP');
set(gca,'yscale','log');
set(gca,'Box','on');
grid on;
grid minor
legend
end
end
end
end
function i = getIntersection(ber,rop)
%get intersection between rop curve and hd-fec limit
hdfec = 3.8e-3 .* ones(size(ber));
i = InterX([rop;hdfec'],[rop;ber']);
if isempty(i)
i = NaN;
else
i = i(1);
end
end

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M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sirs = wh.parameter.sir.values;
laser_linewidths = wh.parameter.laser_linewidth.values;
pnoi = wh.parameter.pn_key.values;
rop = wh.parameter.rop.values;
winlengths = wh.parameter.winlength.values(1);
cols = linspecer(numel(winlengths));
figure(44);
hold on
cntlw = 0;
for laser_linewidth = laser_linewidths
cntlw = cntlw+1;
cntsir = 0;
for sir = sirs
cntsir = cntsir+1;
for pnk = pnoi
%cnt = cnt+1;
ber_ffe = wh.getStoValue('ber_ffe',M,datarate,sir,laser_linewidth,pnk,rop,winlengths);
rrop_ffe(cntsir) = getIntersection(ber_ffe,rop);
end
end
plot(sirs,rrop_ffe,'DisplayName',['Linewidth: ',num2str(laser_linewidth.*1e-6),' MHz'],"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10)
xlabel('Signal to Interference Ratio (dB)');
ylabel('Sensitivity in dBm');
title('Receiver Sensitivity vs. SIR');
set(gca,'Box','on');
grid on;
grid minor
legend
end
function i = getIntersection(ber,rop)
%get intersection between rop curve and hd-fec limit
hdfec = 3.8e-3 .* ones(size(ber));
i = InterX([rop;hdfec'],[rop;ber']);
if isempty(i)
i = NaN;
else
i = i(1);
end
end

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M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sir = wh.parameter.sir.values(1);
laser_linewidth = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
rop = wh.parameter.rop.values;
cols = linspecer(8);
cnt = 0;
for pnk = pn_key
%cnt = cnt+1;
ber_ffe = wh.getStoValue('ber_ffe',M,datarate,sir,laser_linewidth,pnk,rop);
ber_dcavg = wh.getStoValue('ber_dcavg',M,datarate,sir,laser_linewidth,pnk,rop);
ber_adapt = wh.getStoValue('ber_adapt',M,datarate,sir,laser_linewidth,pnk,rop);
ber_derem = wh.getStoValue('ber_dcrem',M,datarate,sir,laser_linewidth,pnk,rop);
% Create the initial plot
figure(44);
a = gca;
cnt = numel(a.Children)+1;
hold on; % Retain the plot so new points can be added without complete redraw
if sum(ber_ffe)
plot(rop,ber_ffe',"LineWidth",0.5,"LineStyle","-","Marker",".","MarkerSize",15,"DisplayName","FFE only",'Color',cols(cnt,:));
end
if sum(ber_dcavg)
plot(rop,ber_dcavg',"LineWidth",0.5,"LineStyle","-","Marker",".","MarkerSize",15,"DisplayName","FFE + FF DC Avg.",'Color',cols(cnt+1,:));
end
if sum(ber_adapt)
plot(rop,ber_adapt',"LineWidth",0.5,"LineStyle","-","Marker",".","MarkerSize",15,"DisplayName","FFE + Adaptive Levels",'Color',cols(cnt+2,:));
end
if sum(ber_derem)
plot(rop,ber_derem',"LineWidth",0.5,"LineStyle","-","Marker",".","MarkerSize",15,"DisplayName","FFE + Adaptive DC-Subtraction",'Color',cols(cnt+3,:));
end
end
yline(3.8e-3,'DisplayName','HD-FEC','LineStyle','--','HandleVisibility','off');
xlabel('Received Optical Power (dBm)');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. ROP');
set(gca,'yscale','log');
set(gca,'Box','on');
grid on;
grid minor
legend

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M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sir = wh.parameter.sir.values(4);
laser_linewidths = wh.parameter.laser_linewidth.values;
pn_key = wh.parameter.pn_key.values;
rop = wh.parameter.rop.values;
cols = linspecer(4);
for laser_linewidth = laser_linewidths
s_cnt = 0;
for s = sir
s_cnt = s_cnt+1;
for pnk = pn_key
%get ROP curve data for cur. sir and realization
ber_ffe = wh.getStoValue('ber_ffe',M,datarate,s,laser_linewidth,pnk,rop);
ber_dcavg = wh.getStoValue('ber_dcavg',M,datarate,s,laser_linewidth,pnk,rop);
ber_adapt = wh.getStoValue('ber_adapt',M,datarate,s,laser_linewidth,pnk,rop);
ber_derem = wh.getStoValue('ber_dcrem',M,datarate,s,laser_linewidth,pnk,rop);
rrop_ffe(s_cnt,pnk) = getIntersection(ber_ffe,rop);
rrop_dcavg(s_cnt,pnk) = getIntersection(ber_dcavg,rop);
rrop_adapt(s_cnt,pnk) = getIntersection(ber_adapt,rop);
rrop_derem(s_cnt,pnk) = getIntersection(ber_derem,rop);
if 1
% Create rop plot
figure(43);
hold on; % Retain the plot so new points can be added without complete redraw
plot(rop,ber_ffe',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName","ber ffe",'Color',cols(1,:));
% scatter(rrop_ffe(s_cnt,pnk),3.8e-3,'LineWidth',2);
plot(rop,ber_dcavg',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName","ber dcavg",'Color',cols(2,:));
plot(rop,ber_adapt',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName","ber adapt",'Color',cols(3,:));
plot(rop,ber_derem',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName","ber dcrem",'Color',cols(4,:));
yline(3.8e-3,'DisplayName','HD-FEC');
xlabel('Signal to Interference Ratio (dB)');
ylabel('Bit Error Rate (BER)');
title(['Bit Error Rate vs. SIR; SIR: ',num2str(s),' dB']);
set(gca,'yscale','log');
grid on;
legend
end
end
end
figure(223);
hold on; % Retain the plot so new points can be added without complete redraw
% plot(sir,mean(rrop_ffe,2,"omitnan")',"LineWidth",1,"LineStyle",":","Marker",".","MarkerSize",10,"DisplayName","FFE",'Color',cols(1,:));
% plot(sir,mean(rrop_dcavg,2,"omitnan")',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName",['Linewidth: ',num2str(laser_linewidth.*1e-6),' MHz'],'Color',cols(2,:));
% plot(sir,mean(rrop_adapt,2,"omitnan")',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName",['Linewidth: ',num2str(laser_linewidth.*1e-6),' MHz']);
plot(sir,mean(rrop_derem,2,"omitnan")',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName",['Linewidth: ',num2str(laser_linewidth.*1e-6),' MHz']);
xlabel('Signal to Interference Ratio (dB)');
ylabel('Receiver Sensitivity');
title(['Bit Error Rate vs. SIR']);
grid on;
legend
end
function i = getIntersection(ber,rop)
%get intersection between rop curve and hd-fec limit
hdfec = 3.8e-3 .* ones(size(ber));
i = InterX([rop;hdfec'],[rop;ber']);
if isempty(i)
i = NaN;
else
i = i(1);
end
end

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M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sir = wh.parameter.sir.values;
laser_linewidth = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
rop = wh.parameter.rop.values(1);
cols = linspecer(4);
cnt = 0;
for pnk = pn_key
cnt = cnt+1;
ber_ffe = wh.getStoValue('ber_ffe',M,datarate,sir,laser_linewidth,pnk,rop);
ber_dcavg = wh.getStoValue('ber_dcavg',M,datarate,sir,laser_linewidth,pnk,rop);
ber_adapt = wh.getStoValue('ber_adapt',M,datarate,sir,laser_linewidth,pnk,rop);
ber_derem = wh.getStoValue('ber_dcrem',M,datarate,sir,laser_linewidth,pnk,rop);
% Create the initial plot
figure(44);
hold on; % Retain the plot so new points can be added without complete redraw
plot(sir,ber_ffe',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName","ber ffe",'Color',cols(1,:));
plot(sir,ber_dcavg',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName","ber dcavg",'Color',cols(2,:));
plot(sir,ber_adapt',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName","ber adapt",'Color',cols(3,:));
plot(sir,ber_derem',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName","ber dcrem",'Color',cols(4,:));
end
yline(3.8e-3,'DisplayName','HD-FEC');
xlabel('Signal to Interference Ratio (dB)');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. SIR');
set(gca,'yscale','log');
grid on;
legend

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function opt_signal = channel_model_mpi(opt_signal,link_total_meter,oneway_interference_meter,sir)
%%%%% Local Parameter %%%%%%%%
%%%%% Ping Pong/ Interference Path %%%%%%
interference_sig = Fiber("fsimu",opt_signal.fs,"fiber_length",oneway_interference_meter*2/1000,"alpha",0.3,"D",0,"lambda0",1320,"gamma",0,"Dslope",0.07).process(opt_signal);
interference_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",-sir).process(interference_sig);
%%%%% Delay the "main" signal as in reality the interference is "older" than the main signal %%%%%%
[main_sig,dly] = opt_signal.delay("delay_meter",oneway_interference_meter*2);
main_sig.power;
interference_sig.power;
%%%%% ADD Interference and Main Signal %%%%%%
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);
%%%%% Propagate through fiber %%%%%%
opt_signal = Fiber("fsimu",combined_sig.fs,"fiber_length",link_total_meter/1000,"alpha",0.3,"D",0,"lambda0",1320,"gamma",0,"Dslope",0.07).process(combined_sig);
end

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%% Parameter to simulate and save
params = struct;
params.M = [4];
params.datarate = [224];
params.sir = [35]; %decibel = attenuation of interference path
params.laser_linewidth = [1e6];
params.pn_key = [1];
params.rop = [-12:1:-1];
params.rop = 0;
usemrds = 0;
wl = 512;
name = ['wh_',strrep(num2str(now),'.','')];
wh = DataStorage(params);
wh.addStorage("ber_ffe");
wh.addStorage("ber_dcavg");
wh.addStorage("ber_adapt");
wh.addStorage("ber_dcrem");
%% Init Params
link_length = 10000; %meter
endcnt = prod(wh.dim);
cnt=0;
disp(['Start Simulation of ',num2str(endcnt),' loops...'])
tic
for M = wh.parameter.M.values
for datarate = wh.parameter.datarate.values
for pn_key = wh.parameter.pn_key.values
% SETUP HERE: %%
kover = 8;
M8199 = M8199A("kover",kover);
fdac = M8199.fdac;
fsym = round(datarate / log2(M)) * 1e9;
rrcalpha = 0.05;
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rrcalpha);
% MAIN SIGNAL
%%%%% Symbol Generation %%%%%%
[Digi_sig,Symbols,Bits] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",0,...
"fs_out",M8199.fdac,"applyclipping",1,"clipfactor",1.4,"applypulseform",1,"pulseformer",Pform,"randkey",pn_key,"mrds_code",usemrds,"mrds_blocklength",wl).process();
%%%%% AWG %%%%%%
El_sig = M8199.process(Digi_sig);
%El_sig.signal = awgn(El_sig.signal,20,'measured',pn_key);
%%%%% Lowpass el. components %%%%%%
El_sig = Filter('filtdegree',2,"f_cutoff",60e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig);
%%%%% Electrical Driver Amplifier %%%%%%
El_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",9).process(El_sig);
fprintf('Driver output power: %s dBm\n', num2str(El_sig.power));
fprintf('Driver output peak voltage: %s Vpp \n', num2str(max(El_sig.signal)-min(El_sig.signal)));
% INTERFERENCE SIGNAL
%%%%% Symbol Generation %%%%%%
[Digi_sig_i,Symbols_i,Bits_i] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",0,...
"fs_out",M8199.fdac,"applyclipping",1,"clipfactor",1.4,"applypulseform",1,"pulseformer",Pform,"randkey",pn_key*2,"mrds_code",usemrds,"mrds_blocklength",wl).process();
%%%%% AWG %%%%%%
El_sig_i = M8199.process(Digi_sig_i);
%El_sig_i.signal = awgn(El_sig_i.signal,20,'measured',pn_key*2);
%%%%% Lowpass before Modulator %%%%%%
El_sig_i = Filter('filtdegree',2,"f_cutoff",60e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig_i);
El_sig_i = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",9).process(El_sig_i);
fprintf('Driver output power: %s dBm\n', num2str(El_sig.power));
fprintf('Driver output peak voltage: %s Vpp \n', num2str(max(El_sig.signal)-min(El_sig.signal)));
for laser_linewidth = wh.parameter.laser_linewidth.values
% MAIN SIGNAL
%%%%% MODULATE E/O CONVERSION %%%%%%
vbias_rel = 0.6;
u_pi = 2.9;
vbias = -vbias_rel*u_pi;
[Opt_sig] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",pn_key).process(El_sig);
Optfilter = Filter('filtdegree',6,"f_cutoff",fsym.*0.7,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true);
Opt_sig = Optfilter.process(Opt_sig);
Opt_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",0).process(Opt_sig);
% INTERFERENCE SIGNAL
%%%%% MODULATE E/O CONVERSION %%%%%%
[Opt_sig_i] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",pn_key+1).process(El_sig_i);
Opt_sig_i = Optfilter.process(Opt_sig_i);
Opt_sig_i = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",0).process(Opt_sig_i);
j_ = wh.parameter.sir.length;
i_ = wh.parameter.rop.length;
ber_ffe=zeros(j_,i_);
ber_dcavg=zeros(j_,i_);
ber_adapt=zeros(j_,i_);
ber_dcrem=zeros(j_,i_);
patten=zeros(j_,i_);
for j = 1:j_
sir = wh.parameter.sir.values(j);
%%%%% Interference Signal Fiber Prop %%%%%%
Opt_sig_i_prop = Fiber("fsimu",Opt_sig_i.fs,"fiber_length",link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig_i);
Opt_sig_i_prop = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",Opt_sig.power-sir).process(Opt_sig_i_prop);
%%%%% ADD Interference and Main Signal %%%%%%
Opt_sig_comb = Opt_sig_i_prop + Opt_sig;
%%%%% Interference Signal Fiber Prop %%%%%%
Opt_sig_comb = Fiber("fsimu",Opt_sig_comb.fs,"fiber_length",link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig_comb);
% % MPI Channel
% Opt = channel_model_mpi(Opt_sig,link_length,mpi_path,sir);
% Receiver ROP curve
for i = 1:i_
rop=wh.parameter.rop.values(i);
% Set ROP
Rx_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",rop).process(Opt_sig_comb);
patten(j,i) = Rx_sig.power;
%%%%%% Square Law %%%%%%
Rx_sig = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20,"nep",1.8e-11).process(Rx_sig);
%%%%%% Lowpass PhDiode %%%%%%
Rx_sig = Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true).process(Rx_sig);
% Rx_sig.signal = Rx_sig.signal - mean(Rx_sig.signal);
%
% Rx_sig = Rx_sig.setPower(0,"dBm");
if 0
[b, a] = butter(1, 0.1e9/(Rx_sig.fs/2), 'high');
% Rx_sig.spectrum("fignum",1111,"displayname","before HPF");
Rx_sig.signal = filter(b, a, Rx_sig.signal);
% Rx_sig.spectrum("fignum",1111,"displayname","after HPF");
end
% figure(111)
% hold on
% [h, f] = freqz(b, a, length(Rx_sig), Rx_sig.fs);
% plot(f, 20*log10(abs(h)));
% title('Magnitude Response of Digital High-Pass Filter');
% xlabel('Frequency (Hz)');
% ylabel('Magnitude (dB)');
% grid on;
%%%%%% Scope %%%%%%
fadc = 256e9;
Lp_scpe = Filter('filtdegree',4,"f_cutoff",100e9,"fs",fadc,"filterType",filtertypes.butterworth,"active",true);
Scpe_sig = Scope("fsimu",fdac*kover,"fadc",fadc,...
"delay",0,"fixed_delay",0,"filtertype",filtertypes.butterworth,...
"samplingdelay",0,"rand_samplingdelay",0,"freq_offset",0,"samp_jitter",0,...
"adcresolution",10,"quantbuffer",0.1,'block_dc',1,'lpf_active',1,'H_lpf',Lp_scpe).process(Rx_sig);
% Scpe_sig.spectrum("displayname","Received Signal after Scope","fignum",201);
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig = Scpe_sig.resample("fs_in",fadc,"fs_out",2*fsym);
if usemrds
Scpe_sig = MRDS_coding("blocklength",512).dc_remove(Scpe_sig,"oversampling_factor",2);
end
%
rmean = zeros(1,2);
if 0
data_in = Scpe_sig.signal;
winlength = wl;
for k = 1:winlength:length(data_in)
try
data = data_in(k:k+winlength-1);
rmean(1) = mean(data);
rmean = circshift(rmean,1);
Scpe_sig.signal(k:k+winlength-1) = data - rmean(1);
catch
if k+winlength > length(data_in)
data = data_in(k:length(data_in));
else
error('indice problem.')
end
rmean(1) = mean(data);
Scpe_sig.signal(k:length(data_in)) = data - rmean(1);
end
end
% Scpe_sig.signal = data_out;
end
% Scpe_sig.plot("fignum",313,"displayname",'after dc removal');
%%%%%% Sync Rx signal with reference %%%%%%
[Scpe_sig] = Scpe_sig.tsynch("reference",Symbols,"fs_ref",fsym);
%%%%% EQUALIZE %%%%%%
if ~usemrds
%
Eq = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0);
% Eq = VNLE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",[0.0004 0.0005 0.0006],"mu_tr",0,"order",[25,2,2],"sps",2,"decide",1);
[EQ_sig,Noi] = Eq.process(Scpe_sig,Symbols);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber_ffe(j,i),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['BER: ',sprintf('%.1E',ber_ffe(j,i)),' - - ROP: ',num2str(patten(j,i)),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']);
%
% %
% Eq = FFE_FFDCAVG("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",1,"mu_buff",0.7);
% [EQ_sig] = Eq.process(Scpe_sig,Symbols);
% Rx_bits = PAMmapper(M,0).demap(EQ_sig);
% [~,errors_bm,ber_dcavg(j,i),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
% disp(['BER: ',sprintf('%.1E',ber_dcavg(j,i)),' - - ROP: ',num2str(patten(j,i)),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']);
[Eq] = FFE_adaptive_decision("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0,"buffer_length",112);
[EQ_sig,Noi] = Eq.process(Scpe_sig,Symbols);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber_adapt(j,i),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['BER: ',sprintf('%.1E',ber_adapt(j,i)),' - - ROP: ',num2str(patten(j,i)),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']);
Noi.spectrum('displayname','Noise PSD','fignum',123)
[h,w] = freqz(1,burg_coeff,length(Noi),"whole",Noi.fs);
h = h/max(abs(h));
hold on
w_ = (w - Noi.fs/2);
plot(w_.*1e-9,20*log10(fftshift(h)),'DisplayName',['', num2str(nc), ' coefficients for burg alg.']);
%
%
% Eq = FFE_DCremoval("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",1,"mu_dc",0.07,"dc_buffer_len",112);
% [EQ_sig] = Eq.process(Scpe_sig,Symbols);
% Rx_bits = PAMmapper(M,0).demap(EQ_sig);
% [~,errors_bm,ber_dcrem(j,i),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
% disp(['BER: ',sprintf('%.1E',ber_dcrem(j,i)),' - - ROP: ',num2str(patten(j,i)),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']);
else
Eq = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",1);
[EQ_sig] = Eq.process(Scpe_sig,Symbols);
Rx_bits = MRDS_coding("blocklength",wl).decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(Rx_bits);
[~,errors_bm,ber_ffe(j,i),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['BER: ',sprintf('%.1E',ber_ffe(j,i)),' - - ROP: ',num2str(patten(j,i)),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']);
end
end
end
for j = 1:j_
sir = wh.parameter.sir.values(j);
for i = 1:i_
rop=wh.parameter.rop.values(i);
wh.addValueToStorage(ber_ffe(j,i) ,'ber_ffe',M,datarate,sir,laser_linewidth,pn_key,rop);
wh.addValueToStorage(ber_dcavg(j,i),'ber_dcavg',M,datarate,sir,laser_linewidth,pn_key,rop);
wh.addValueToStorage(ber_adapt(j,i),'ber_adapt',M,datarate,sir,laser_linewidth,pn_key,rop);
wh.addValueToStorage(ber_dcrem(j,i),'ber_dcrem',M,datarate,sir,laser_linewidth,pn_key,rop);
end
end
toc
disp(['Simulated: ',num2str(cnt/endcnt*100),' %']);
wh.save('C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\MPI_August\auswertung\')
end
end
end
end
rop_curve;

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function rx_bits = rx_model(Rx,Ref,Phdiod,Lp_phdiod,Scpe,Eq,Pmap)
%%%%% Local Parameter %%%%%%%%
fsym = Ref.fs;
%%%%%% Square Law %%%%%%
Rx_sig = Phdiod.process(Rx);
%%%%%% Lowpass PhDiode %%%%%%
Rx_sig = Lp_phdiod.process(Rx_sig);
% Rx_sig.spectrum("displayname","Received Signal after PhD","fignum",201);
%%%%%% Scope %%%%%%
Scpe_sig = Scpe.process(Rx_sig);
Scpe_sig.plot("displayname","SIgnal after Scope","fignum",1999);
% Scpe_sig.spectrum("displayname",'after scope','fignum',123);
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig = Scpe_sig.resample("fs_in",Scpe.fadc,"fs_out",2*fsym);
% Scpe_sig.plot('fignum',12345,'displayname','bla')
%%%%%% Sync Rx signal with reference %%%%%%
[Scpe_sig,D,cuts] = Scpe_sig.tsynch("reference",Ref,"fs_ref",fsym);
%%%%% EQUALIZE %%%%%%
[EQ_sig] = Eq.process(Scpe_sig,Ref);
% EQ_sig.normalize("mode","rms").plot('fignum',23,'displayname','before eq')
%%%%% DEMAP %%%%%%
rx_bits = Pmap.demap(EQ_sig);
%%%% Look at Pam levels %%%%%
if 1
a = Pmap.separate_pamlevels(EQ_sig);
figure(14);hold on;scatter(1:EQ_sig.length,a,1,'.');
end
end

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usemrds = 0;
%% Init Params
link_length = 10000; %meter
Optfilter = Filter('filtdegree',6,"f_cutoff",fsym.*0.7,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true);
tic
% SETUP HERE: %%
kover = 8;
M8199 = M8199A("kover",kover);
fdac = M8199.fdac;
fsym = round(datarate / log2(M)) * 1e9;
rrcalpha = 0.05;
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rrcalpha);
% MAIN SIGNAL
%%%%% Symbol Generation %%%%%%
[Digi_sig,Symbols,Bits] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",0,...
"fs_out",M8199.fdac,"applyclipping",1,"clipfactor",1.4,"applypulseform",1,"pulseformer",Pform,"randkey",pn_key,"mrds_code",usemrds).process();
%%%%% AWG %%%%%%
El_sig = M8199.process(Digi_sig);
%El_sig.signal = awgn(El_sig.signal,20,'measured',pn_key);
%%%%% Lowpass el. components %%%%%%
El_sig = Filter('filtdegree',2,"f_cutoff",60e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig);
%%%%% Electrical Driver Amplifier %%%%%%
El_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",9).process(El_sig);
fprintf('Driver output power: %s dBm\n', num2str(El_sig.power));
fprintf('Driver output peak voltage: %s Vpp \n', num2str(max(El_sig.signal)-min(El_sig.signal)));
% INTERFERENCE SIGNAL
%%%%% Symbol Generation %%%%%%
[Digi_sig_i,Symbols_i,Bits_i] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",0,...
"fs_out",M8199.fdac,"applyclipping",1,"clipfactor",1.4,"applypulseform",1,"pulseformer",Pform,"randkey",pn_key*2,"mrds_code",usemrds).process();
%%%%% AWG %%%%%%
El_sig_i = M8199.process(Digi_sig_i);
%El_sig_i.signal = awgn(El_sig_i.signal,20,'measured',pn_key*2);
%%%%% Lowpass before Modulator %%%%%%
El_sig_i = Filter('filtdegree',2,"f_cutoff",60e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig_i);
El_sig_i = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",9).process(El_sig_i);
fprintf('Driver output power: %s dBm\n', num2str(El_sig.power));
fprintf('Driver output peak voltage: %s Vpp \n', num2str(max(El_sig.signal)-min(El_sig.signal)));
% MAIN SIGNAL
%%%%% MODULATE E/O CONVERSION %%%%%%
vbias_rel = 0.6;
u_pi = 2.9;
vbias = -vbias_rel*u_pi;
[Opt_sig] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",pn_key).process(El_sig);
Opt_sig = Optfilter.process(Opt_sig);
Opt_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",0).process(Opt_sig);
% INTERFERENCE SIGNAL
%%%%% MODULATE E/O CONVERSION %%%%%%
[Opt_sig_i] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",pn_key+1).process(El_sig_i);
Opt_sig_i = Optfilter.process(Opt_sig_i);
Opt_sig_i = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",0).process(Opt_sig_i);
for j = 1:j_
sir = wh.parameter.sir.values(j);
%%%%% Interference Signal Fiber Prop %%%%%%
Opt_sig_i_prop = Fiber("fsimu",Opt_sig_i.fs,"fiber_length",link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig_i);
Opt_sig_i_prop = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",Opt_sig.power-sir).process(Opt_sig_i_prop);
%%%%% ADD Interference and Main Signal %%%%%%
Opt_sig_comb = Opt_sig_i_prop + Opt_sig;
%%%%% Interference Signal Fiber Prop %%%%%%
Opt_sig_comb = Fiber("fsimu",Opt_sig_comb.fs,"fiber_length",link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig_comb);
% Receiver ROP curve
for i = 1:i_
rop=wh.parameter.rop.values(i);
% Set ROP
Rx_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",rop).process(Opt_sig_comb);
%%%%%% Square Law %%%%%%
Rx_sig = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20,"nep",1.8e-11).process(Rx_sig);
%%%%%% Lowpass PhDiode %%%%%%
Rx_sig = Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true).process(Rx_sig);
end
end
rop_curve;

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function [el_sig,bits,symbol_seq] = tx_model(fsym,Pmap,Pform,Awg,options)
arguments
fsym
Pmap
Pform
Awg
options.clipfactor
end
%%%%% Local Parameter %%%%%%%%
%%%%% PRBS Generation in correct shape for Modulation Format %%%%%%
O = 17; %order of prbs
N = 2^(O-1); %length of prbs
[~,seed] = prbs(O,1); %initialize first seed of prbs
bitpattern=[];
for i = 1:log2(Pmap.M)
[bitpattern(:,i),seed] = prbs(O,N,seed);
end
if Pmap.M == 6
bitpattern = reshape(bitpattern,[],1);
bitpattern = bitpattern(1:end-mod(length(bitpattern),5));
end
bits = Informationsignal(bitpattern);
%%%%% Map to PAM %%%%%%
symbol_seq = Pmap.map(bits);
symbol_seq.fs = fsym;
%%%%% Pulseforming %%%%%%
if 1
X = Pform.process(symbol_seq);
else
X = symbol_seq;
end
%%%%% Resample to f DAC %%%%%%
X = X.resample("fs_in",X.fs,"fs_out",Awg.fdac,"n",10,"beta",5);
%%%%% Clip to PAM range %%%%%%
if 1
min_ = min(symbol_seq.signal) * options.clipfactor ;
max_ = max(symbol_seq.signal) * options.clipfactor ;
X.signal = clip(X.signal,min_,max_);
end
%%%%%Info about AWG input %%%%%%
pwr_ = X.power; % in dbm into 50 ohm
papr_ = papr(X.signal);
vpk_ = max(abs(X.signal));
vswing_ = max(X.signal)-min(X.signal);
awg_string = ['Digital AWG Input: Pout: ',num2str(round(pwr_,2)),' dBm; PAPR: ',num2str(round(papr_,2)),'; Vpk: ',num2str(round(vpk_,2)),'; Vswing: ',num2str(round(vswing_,2)),''];
% isp(awg_string);
%%%%% AWG %%%%%%
el_sig = Awg.process(X);
el_sig= el_sig.*0.7222;
end

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clear
Ref = load("C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\MPI_Juni\EQ_optimization\ref_sig_with_mpi.mat",'Ref');
Rx_sig = load("C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\MPI_Juni\EQ_optimization\rx_sig_with_mpi.mat",'Rx_sig');
Bits = load("C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\MPI_Juni\EQ_optimization\ref_bits_prms.mat","Bits");
M = 4;
Ref = Ref.Ref;
Rx_sig = Rx_sig.Rx_sig;
Bits = Bits.Bits;
kover = 8;
fdac = 256e9;
fadc = 160e9;
Lp_phd = Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true);
Lp_scpe = Filter('filtdegree',4,"f_cutoff",63e9,"fs",fadc,"filterType",filtertypes.butterworth,"active",true);
Scp = Scope("fsimu",fdac*kover,"fadc",fadc,...
"delay",0,"fixed_delay",0,"filtertype",filtertypes.butterworth,...
"samplingdelay",0,"rand_samplingdelay",0,"freq_offset",0,"samp_jitter",0,...
"adcresolution",16,"quantbuffer",0.1,'block_dc',1,'lpf_active',1,'H_lpf',Lp_scpe);
fadc = Scp.fadc;
% SETUP TX Model
Pmap = PAMmapper(M,0);
% SETUP RX Model
Phd = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20);
% Eq = EQ_silas_ofc("Ne",[50,2,2],"Nb",[2,0,0],"trainlength",4096,...
% "sps",2,...
% "mu_dc_dd",[0.5, 0.5, 0.5, 0.5],...
% "mu_dc_train",0.0,...
% "mu_ffe_train",0.00,...
% "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",0, ...
% "eq_updatelatency",1,...
% "eq_avg_blocklength",0);
if 0
Eq = EQ("Ne",[21,4,4],"Nb",[0,0,0],"training_length",4096,"training_loops",4,"dd_loops",4,"K",2,"DCmu",0,"DDmu",[0.0004 0.0005 0.0006 0.0003 ],"DFEmu",0.000,"FFEmu",0,"plotfinal",0,"ideal_dfe",0);
% % RX Model
Rx_bits = rx_model(Rx_sig,Ref,Phd,Lp_phd,Scp,Eq,Pmap);
% % BER
[~,errors_bm,ber,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['BER: ',sprintf('%.1E',ber),' - - ROP: ',num2str(Rx_sig.power),'dBm - - PAM-',num2str(M),' - - ']);
end
%%%%% Local Parameter %%%%%%%%
fsym = Ref.fs;
%%%%%% Square Law %%%%%%
Rx_sig = Phd.process(Rx_sig);
%%%%%% Lowpass PhDiode %%%%%%
Rx_sig = Lp_phd.process(Rx_sig);
% Rx_sig.spectrum("displayname","Received Signal after PhD","fignum",201);
%%%%%% Scope %%%%%%
Scpe_sig = Scp.process(Rx_sig);
% Scpe_sig.spectrum("displayname",'after scope','fignum',123);
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig = Scpe_sig.resample("fs_in",Scp.fadc,"fs_out",2*fsym);
% Scpe_sig.plot('fignum',12345,'displayname','bla')
%%%%%% Sync Rx signal with reference %%%%%%
[Scpe_sig,D,cuts] = Scpe_sig.tsynch("reference",Ref,"fs_ref",fsym);
Scpe_sig = Scpe_sig.normalize("mode","rms");
Eq = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",20,"sps",2,"decide",1);
% Eq = FFE_DFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"ffe_mu_dd",1e-4,"dfe_mu_dd",5e-4,"ffe_mu_tr",0,"dfe_mu_tr",0,"ffe_order",21,"dfe_order",0,"sps",2,"decide",1);
% Eq = VNLE("epochs_tr",7,"epochs_dd",7,"len_tr",4096,"mu_dd",[0.0004 0.0005 0.0006],"mu_tr",0,"order",[21,5,5],"sps",2,"decide",1);
Eq_sig = Eq.process(Scpe_sig,Ref);
Rx_bits = Pmap.demap(Eq_sig);
% BER
[~,errors_bm,ber,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['BER: ',sprintf('%.1E',ber),' - - ROP: ',num2str(Rx_sig.power),'dBm - - PAM-',num2str(M),' - - ']);

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function ber_curve(wh,options)
arguments
wh
options.DisplayName = '';
end
M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values;
sir = wh.parameter.sir.values(1);
laser_linewidth = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values(1);
vbias_rel = wh.parameter.vbias_rel.values(1);
rop = wh.parameter.rop.values;
clipfactor = wh.parameter.clipfactor.values;
rrcalpha = wh.parameter.rrcalpha.values(1);
cols = linspecer(numel(datarate));
cnt = 0;
for dr = datarate
cnt = cnt+1;
bers = wh.getStoValue('ber',M,dr,sir,laser_linewidth,pn_key,vbias_rel,rop,clipfactor, rrcalpha);
rops = wh.getStoValue('rop',M,dr,sir,laser_linewidth,pn_key,vbias_rel,rop,clipfactor, rrcalpha);
ers = unique(wh.getStoValue('er',M,dr,sir,laser_linewidth,pn_key,vbias_rel,rop,clipfactor, rrcalpha));
if 1 %isempty(options.DisplayName)
dn = ['M: ',num2str(M),'; Rate: ',num2str(dr),'; Vbias rel: ',num2str(vbias_rel), '; ER: ', num2str(ers)];
else
dn = options.DisplayName;
end
% Create the initial plot
figure(43);
hold on; % Retain the plot so new points can be added without complete redraw
plot(rops,bers,"LineWidth",1,"LineStyle","--","Marker",".","MarkerSize",10,"DisplayName",string(dn),'Color',cols(cnt,:));
end
yline(3.8e-3,'DisplayName','HD-FEC');
xlabel('Received Optical Power (dBm)');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. Received Optical Power');
set(gca,'yscale','log');
grid on;
legend
end

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function tx_signal_curve(wh,options)
arguments
wh
options.DisplayName = '';
end
M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sirs = wh.parameter.sir.values(1);
mpi_len = wh.parameter.mpi_pathlen.values(1);
laser_linewidths = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
vbias_rel = wh.parameter.vbias_rel.values(1);
rop = wh.parameter.rop.values(1);
clipfactor = wh.parameter.clipfactor.values;
rrcalpha = wh.parameter.rrcalpha.values(1);
% Create the initial plot
figure(4);
cols = linspecer(6);
cnt = 0;
bers(:) = wh.getStoValue('ber',M,datarate,sirs,mpi_len,laser_linewidths,pn_key,vbias_rel,rop,clipfactor, rrcalpha);
ers(:) = wh.getStoValue('er',M,datarate,sirs,mpi_len,laser_linewidths,pn_key,vbias_rel,rop,clipfactor, rrcalpha);
dn = ['M: ',num2str(M),'; Rate: ',num2str(datarate),'; SIR ',num2str(sirs), 'dB; lw: ',num2str(laser_linewidths.*1e-6),' MHz'];
hold on; % Retain the plot so new points can be added without complete redraw
% scatter(clipfactor,bers,"LineWidth",1,"Marker",".","DisplayName",string(dn),"MarkerEdgeColor",cols(cnt,:),'HandleVisibility','off');
yyaxis left
plot(clipfactor,bers,"LineWidth",1,"Marker",".","DisplayName",'BER');
yline(3.8e-3,'DisplayName','HD-FEC','HandleVisibility','off');
set(gca,'yscale','log');
grid on;
ylim([1e-5,4e-2])
yyaxis right
plot(clipfactor,ers,"LineWidth",1,"Marker",".","DisplayName",'Extinction Ratio in dB');
xlabel('Clip Factor');
ylabel('Bit Error Rate (BER)');
title(['Bit Error Rate vs. Clip Factor: ',dn]);
legend
end

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function ercurve(wh)
M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sir = wh.parameter.sir.values(1);
laser_linewidth = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values(1);
vbias_rel = wh.parameter.vbias_rel.values;
rop = wh.parameter.rop.values;
clipfactor = wh.parameter.clipfactor.values;
rrcalpha = wh.parameter.rrcalpha.values(1);
for vbr = vbias_rel
bers = wh.getStoValue('ber',M,datarate,sir,laser_linewidth,pn_key,vbr,rop,clipfactor, rrcalpha);
rops = wh.getStoValue('rop',M,datarate,sir,laser_linewidth,pn_key,vbr,rop,clipfactor, rrcalpha);
ers = unique(wh.getStoValue('er',M,datarate,sir,laser_linewidth,pn_key,vbr,rop,clipfactor, rrcalpha));
if 1 %isempty(options.DisplayName)
dn = ['M: ',num2str(M),'; Rate: ',num2str(datarate),'; Vbias rel: ',num2str(vbr), '; ER: ', num2str(ers)];
else
dn = options.DisplayName;
end
% Create the initial plot
figure(43);
hold on; % Retain the plot so new points can be added without complete redraw
plot(rops,bers,"LineWidth",1,"LineStyle","--","Marker",".","MarkerSize",10,"DisplayName",string(dn));
end
yline(3.8e-3,'DisplayName','HD-FEC');
xlabel('Received Optical Power (dBm)');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. Received Optical Power');
set(gca,'yscale','log');
grid on;
legend
end

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function linewidth_curve(wh,options)
arguments
wh
options.DisplayName = '';
end
M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sir = wh.parameter.sir.values(6);
mpi_len = wh.parameter.mpi_pathlen.values;
laser_linewidth = wh.parameter.laser_linewidth.values;
pn_key = wh.parameter.pn_key.values;
vbias_rel = wh.parameter.vbias_rel.values(1);
rop = wh.parameter.rop.values(1);
clipfactor = wh.parameter.clipfactor.values(1);
rrcalpha = wh.parameter.rrcalpha.values(1);
cols = linspecer(numel(mpi_len));
% Create the initial plot
figure(44);
hold on; % Retain the plot so new points can be added without complete redraw
for l = 1:numel(mpi_len)
cnt = 0;
for i = 1:numel(laser_linewidth)
bers(:,i) = wh.getStoValue('ber',M,datarate,sir,mpi_len(l),laser_linewidth(i),pn_key,vbias_rel,rop,clipfactor, rrcalpha);
%ers(:,i) = unique(wh.getStoValue('er',M,datarate,sir,mpi_len,laser_linewidth(i),pn_key,vbias_rel,rop,clipfactor, rrcalpha));
dn = ['Interference Path Length: ',num2str(mpi_len(l)),'m; Rate: ',num2str(datarate)];
end
scatter(laser_linewidth.*1e-6,bers,"LineWidth",1,"Marker",".","DisplayName",string(dn),"MarkerEdgeColor",cols(l,:),'HandleVisibility','off');
plot(laser_linewidth.*1e-6,mean(bers),"LineWidth",1,"Marker",".","DisplayName",string(dn),"MarkerEdgeColor",cols(l,:),"Color",cols(l,:));
end
ylim([1e-4, 1e-2]);
yline(3.8e-3,'DisplayName','HD-FEC');
xlabel('Laser Linewidth in MHz');
ylabel('Bit Error Rate (BER)');
title(['Bit Error Rate vs. Interference Path Length @ SIR ',num2str(sir), 'dB']);
set(gca,'yscale','log');
grid on;
legend
end

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%% Parameter to simulate and save
params = struct;
params.M = [4];
params.datarate = [224];
params.sir = [25]; %decibel = attenuation of interference path
params.mpi_pathlen = [50];
params.laser_linewidth = [1e6];
params.pn_key = [15];
params.vbias_rel = [0.5];
params.rop = 0;
params.clipfactor = [1.3];
params.rrcalpha = [0.1];
name = ['wh_',strrep(num2str(now),'.','')];
wh = DataStorage(params);
wh.addStorage("ber");
wh.addStorage("rop");
wh.addStorage("txpapr");
wh.addStorage("er");
%% Init Params
link_length = 10000; %meter
endcnt = prod(wh.dim);
cnt=0;
disp(['Start Simulation of ',num2str(endcnt),' loops...'])
tic
for M = wh.parameter.M.values
for datarate = wh.parameter.datarate.values
for rrcalpha = wh.parameter.rrcalpha.values
%% SETUP HERE: %%
kover = 8;
Awg = M8199A("kover",kover);
fdac = Awg.fdac;
fsym = round(datarate / log2(M))*1e9;
Lp_awg = Filter('filtdegree',4,"f_cutoff",75e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true);
Lp_mod = Filter('filtdegree',2,"f_cutoff",100e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true);
Lp_opt = Filter('filtdegree',6,"f_cutoff",fsym.*0.7,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true);
Lp_phd = Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true);
fadc = 256e9;
Lp_scpe = Filter('filtdegree',4,"f_cutoff",63e9,"fs",fadc,"filterType",filtertypes.butterworth,"active",true);
Scp = Scope("fsimu",fdac*kover,"fadc",fadc,...
"delay",0,"fixed_delay",0,"filtertype",filtertypes.butterworth,...
"samplingdelay",0,"rand_samplingdelay",0,"freq_offset",0,"samp_jitter",0,...
"adcresolution",16,"quantbuffer",0.1,'block_dc',1,'lpf_active',1,'H_lpf',Lp_scpe);
fadc = Scp.fadc;
% figure(222)
% Lp_awg.showHere;
% Lp_mod.showHere;
% Lp_opt.showHere;
% Lp_phd.showHere;
% Lp_scpe.showHere;
% SETUP TX Model
Pmap = PAMmapper(M,0);
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rrcalpha);
% SETUP RX Model
Phd = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20);
% Eq = EQ_silas("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
% "sps",2,...
% "mu_dc_dd",0.1,...
% "mu_dc_train",0.0,...
% "mu_ffe_train",0.00,...
% "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",0, ...
% "eq_updatelatency",0,...
% "eq_avg_blocklength",1000);
% Eq = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0);
% Eq = FFE_DFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"ffe_mu_dd",1e-4,"dfe_mu_dd",5e-4,"ffe_mu_tr",0,"dfe_mu_tr",0,"ffe_order",25,"dfe_order",2,"sps",2,"decide",1);
% Eq = EQ_silas_sliding_window_dc_removal("Ne",[25,0,0],"Nb",[2,0,0],"trainlength",4096,...
% "sps",2,...
% "mu_dc_dd",0.05,...
% "mu_dc_train",0.05,...
% "mu_ffe_train",0,...
% "mu_dfe_train",0.005,...
% "mu_ffe_dd",[0.0004 0.0004 0.0004],...
% "mu_dfe_dd",0.0004,...
% "ddloops",4,...
% "trainloops",4,...
% "eq_blocklength",0,...
% "eq_updatelatency",0);
% Eq = EQ("Ne",[25,3,3],"Nb",[0,0,0],"training_length",4096,"training_loops",4,"dd_loops",4,"K",2,"DCmu",0,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",1);
Eq = VNLE("epochs_tr",7,"epochs_dd",7,"len_tr",4096,"mu_dd",[0.0004 0.0005 0.0006],"mu_tr",0,"order",[25,3,3],"sps",2,"decide",1);
for clipfactor = wh.parameter.clipfactor.values
% TX model
[El,Bits,Ref] = tx_model(fsym,Pmap,Pform,Awg,"clipfactor",clipfactor);
% Laser and Modulation
El = Lp_mod.process(El);
El = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",15).process(El);
pwr_ = El.power; % in dbm into 50 ohm
papr_ = papr(El.signal);
vpk_ = max(abs(El.signal));
vswing_ = max(El.signal)-min(El.signal);
awg_string = ['AWG: Pout: ',num2str(round(pwr_,2)),' dBm (50 Ohm); PAPR: ',num2str(round(papr_,2)),'; Vpk: ',num2str(round(vpk_,2)),' V; Vswing: ',num2str(round(vswing_,2)),' V'];
disp(awg_string);
for laser_linewidth = wh.parameter.laser_linewidth.values
for pn_key = wh.parameter.pn_key.values
for vbias_rel = wh.parameter.vbias_rel.values
u_pi = 2.9;
vbias = -vbias_rel*u_pi;
extmodlaser = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",pn_key);
% El = El.normalize("mode","oneone").*u_pi.*0.4;
[modulated,extmodlaser] = extmodlaser.process(El);
if 1
figure(10)
hold on
scatter(El.signal(1:100000)+vbias,(abs(modulated.signal(1:100000)).^2)*1e3,0.1,'.','DisplayName','Modulator TF')
ylim([0 4]);
xlim([-u_pi/2, u_pi/2]+vbias);
xlabel('Input in V')
ylabel('abs(Output) in mW')
% Define properties
boxPosition = [0.15 0.86 0.2 0.05]; % Position for the first box [x y width height]
boxColor = [0.9 0.9 0.9]; % Light grey background color
boxEdgeColor = 'k'; % Black edge color
boxLineStyle = '--'; % Dashed line style
boxFontWeight = 'bold'; % Bold font
% Create first annotation box for Power
annotation('textbox', boxPosition, ...
'String', ['V pi: ',num2str(u_pi),' V'], ...
'BackgroundColor', boxColor, ...
'EdgeColor', boxEdgeColor, ...
'LineStyle', boxLineStyle, ...
'FontWeight', boxFontWeight, ...
'HorizontalAlignment', 'center');
% Adjust position for the second box (slightly to the right)
boxPosition = [0.37 0.86 0.2 0.05]; % Adjusted position
% Create second annotation box for PAPR
annotation('textbox', boxPosition, ...
'String', ['V bias: ',num2str(vbias),' V'], ...
'BackgroundColor', boxColor, ...
'EdgeColor', boxEdgeColor, ...
'LineStyle', boxLineStyle, ...
'FontWeight', boxFontWeight, ...
'HorizontalAlignment', 'center');
modulated.eye(fsym,M);
modulated.spectrum("fignum",112,"displayname",'transmit spectrum');
modulated = Lp_opt.process(modulated);
end
er = modulated.extinctionratio(fsym,M);
if 1
m_ = wh.parameter.mpi_pathlen.length;
j_ = wh.parameter.sir.length;
i_ = wh.parameter.rop.length;
ber=zeros(m_,j_,i_);
patten=zeros(m_,j_,i_);
for m = 1:m_
mpi_path = wh.parameter.mpi_pathlen.values(m);
for j = 1:j_
sir = wh.parameter.sir.values(j);
% MPI Channel
Opt = channel_model_mpi(modulated,link_length,mpi_path,sir);
for i = 1:i_
rop=wh.parameter.rop.values(i);
% Set ROP
Rx_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",rop).process(Opt);
patten(m,j,i) = Rx_sig.power;
% RX Model
Rx_bits = rx_model(Rx_sig,Ref,Phd,Lp_phd,Scp,Eq,Pmap);
% BER
[~,errors_bm,ber(m,j,i),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
cnt = cnt+1;
disp(['BER: ',sprintf('%.1E',ber(m,j,i)),' - - ROP: ',num2str(Rx_sig.power),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']);
end
end
end
for m = 1:m_
mpi_path = wh.parameter.mpi_pathlen.values(m);
for j = 1:j_
sir = wh.parameter.sir.values(j);
for i = 1:i_
rop=wh.parameter.rop.values(i);
wh.addValueToStorage(ber(m,j,i),'ber',M,datarate,sir,mpi_path,laser_linewidth,pn_key,vbias_rel,rop,clipfactor,rrcalpha);
wh.addValueToStorage(patten(m,j,i),'rop',M,datarate,sir,mpi_path,laser_linewidth,pn_key,vbias_rel,rop,clipfactor,rrcalpha);
wh.addValueToStorage(er,'er',M,datarate,sir,mpi_path,laser_linewidth,pn_key,vbias_rel,rop,clipfactor,rrcalpha);
end
end
end
end
end
toc
disp(['Simulated: ',num2str(cnt/endcnt*100),' %']);
save(['C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\MPI_Juni\',name,'.mat'],"wh");
end
end
end
end
end
end

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function mpilength_curve(wh,options)
arguments
wh
options.DisplayName = '';
end
M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(2);
sirs = wh.parameter.sir.values(1);
mpi_len = wh.parameter.mpi_pathlen.values;
laser_linewidths = wh.parameter.laser_linewidth.values;
pn_key = wh.parameter.pn_key.values;
vbias_rel = wh.parameter.vbias_rel.values(1);
rop = wh.parameter.rop.values(1);
clipfactor = wh.parameter.clipfactor.values(1);
rrcalpha = wh.parameter.rrcalpha.values(1);
% Create the initial plot
figure(4);
cols = linspecer(6);
cnt = 0;
for lw = 1:numel(laser_linewidths)
laser_linewidth = laser_linewidths(lw);
n=ceil(sqrt(wh.parameter.laser_linewidth.length));
%subplot(n,n,sp);
cnt=cnt+6;
for sir = sirs
for i = 1:numel(mpi_len)
bers(:,i) = wh.getStoValue('ber',M,datarate,sir,mpi_len(i),laser_linewidth,pn_key,vbias_rel,rop,clipfactor, rrcalpha);
% ers(:,i) = unique(wh.getStoValue('er',M,datarate,sir,mpi_len(i),laser_linewidth,pn_key,vbias_rel,rop,clipfactor, rrcalpha));
dn = ['M: ',num2str(M),'; Rate: ',num2str(datarate),'; SIR ',num2str(sir), 'dB; lw: ',num2str(laser_linewidth.*1e-6),' MHz'];
end
hold on; % Retain the plot so new points can be added without complete redraw
scatter(mpi_len,bers,"LineWidth",1,"Marker",".","DisplayName",string(dn),"MarkerEdgeColor",cols(cnt,:),'HandleVisibility','off');
plot(mpi_len,mean(bers),"LineWidth",1,"Marker",".","DisplayName",string(dn),"MarkerEdgeColor",cols(cnt,:),"Color",cols(cnt,:));
end
yline(3.8e-3,'DisplayName','HD-FEC');
xlabel('MPI Path in Meter');
ylabel('Bit Error Rate (BER)');
title(['Bit Error Rate vs. Interference Path Length; Linewidth: ',num2str(laser_linewidth.*1e-6), ' MHz']);
set(gca,'yscale','log');
grid on;
ylim([1e-5,4e-2])
end
legend
end

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function sir_curve(wh,options)
arguments
wh
options.DisplayName = '';
end
M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sir = wh.parameter.sir.values;
laser_linewidth = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
vbias_rel = wh.parameter.vbias_rel.values(1);
rop = wh.parameter.rop.values(1);
clipfactor = wh.parameter.clipfactor.values;
rrcalpha = wh.parameter.rrcalpha.values(1);
cols = linspecer(numel(pn_key));
cnt = 0;
for pnk = pn_key
cnt = cnt+1;
bers = wh.getStoValue('ber',M,datarate,sir,laser_linewidth,pnk,vbias_rel,rop,clipfactor, rrcalpha);
ers = unique(wh.getStoValue('er',M,datarate,sir,laser_linewidth,pnk,vbias_rel,rop,clipfactor, rrcalpha));
if 1 %isempty(options.DisplayName)
dn = ['M: ',num2str(M),'; Rate: ',num2str(datarate),'; Vbias rel: ',num2str(vbias_rel), '; ER: ', num2str(ers)];
else
dn = options.DisplayName;
end
% Create the initial plot
figure(43);
hold on; % Retain the plot so new points can be added without complete redraw
plot(sir,bers',"LineWidth",1,"LineStyle","-","Marker",".","MarkerSize",10,"DisplayName",string(dn),'Color',cols(cnt,:));
end
yline(3.8e-3,'DisplayName','HD-FEC');
xlabel('Signal to Interference Ratio (dB)');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. SIR (MPI)');
set(gca,'yscale','log');
grid on;
legend
end

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function tx_signal_curve(wh,options)
arguments
wh
options.DisplayName = '';
end
M = wh.parameter.M.values(1);
datarate = wh.parameter.datarate.values(1);
sirs = wh.parameter.sir.values(1);
mpi_len = wh.parameter.mpi_pathlen.values(1);
laser_linewidths = wh.parameter.laser_linewidth.values(1);
pn_key = wh.parameter.pn_key.values;
vbias_rel = wh.parameter.vbias_rel.values;
rop = wh.parameter.rop.values(1);
clipfactor = wh.parameter.clipfactor.values;
rrcalpha = wh.parameter.rrcalpha.values(1);
% Create the initial plot
figure(4);
cols = linspecer(numel(vbias_rel));
cnt = 0;
for vb = vbias_rel
cnt = cnt+1;
bers(:) = wh.getStoValue('ber',M,datarate,sirs,mpi_len,laser_linewidths,pn_key,vb,rop,clipfactor, rrcalpha);
ers(:) = wh.getStoValue('er',M,datarate,sirs,mpi_len,laser_linewidths,pn_key,vb,rop,clipfactor, rrcalpha);
dn = ['M: ',num2str(M),'; Rate: ',num2str(datarate),'; SIR ',num2str(sirs), 'dB; lw: ',num2str(laser_linewidths.*1e-6),' MHz'];
hold on; % Retain the plot so new points can be added without complete redraw
% scatter(clipfactor,bers,"LineWidth",1,"Marker",".","DisplayName",string(dn),"MarkerEdgeColor",cols(cnt,:),'HandleVisibility','off');
plot(clipfactor,bers,"LineWidth",1,"Marker","x",'LineStyle','--',"DisplayName",['Vbias factor: ',num2str(vb)],"Color",cols(cnt,:));
yline(3.8e-3,'DisplayName','HD-FEC','HandleVisibility','off');
set(gca,'yscale','log');
grid on;
ylim([1e-5,5e-1])
xlabel('Clip Factor');
ylabel('Bit Error Rate (BER)');
title(['Bit Error Rate vs. Clip Factor: ',dn]);
legend
end
% figure(10101)
% y = vbias_rel;
% x = clipfactor;
% [X,Y] = meshgrid(x,y);
% Z = bers;
% contourf(X,Y,Z,30,'LineStyle','none');
end

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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