MPI Simulations and stuff

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

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@@ -0,0 +1,195 @@
M=4;
fdac = 256e9;%fsym;
fadc = 256e9;
fsym = ([32:16:240].*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);
% 5) AWG (lowpass, quantization, sample and hold)
kover = 8;
LP_awg = Filter('filtdegree',4,"f_cutoff",75e9,"fs",fdac*kover,"filterType",filtertypes.butterworth);
powerlist = [];
input_papr = zeros(numel(fsym),1);
output_papr = zeros(numel(fsym),1);
for i = 1:length(fsym)
%%%%% Map to PAM %%%%%%
digimod_out = PAMmapper(M,0).map(bits);
digimod_out.fs = fsym(i);
% Y.plot("fignum",2,'displayname',['PAM 4 Signal; Raised Cosine Alpha: ',num2str(rrca)]);
% X.plot("fignum",2,'displayname',['PAM 4 Signal; Raised Cosine Alpha: ',num2str(rrca)])
% digimod_out.plot("fignum",2,'displayname',['PAM 4 Signal'])
%X.spectrum("displayname",['PAM 4; Baudrate: ',num2str(fsym(i).*1e-9), ' GBd', num2str(rrca)],'fignum',4);
%%%%% AWG %%%%%%
X = digimod_out;
X1 = M8199B("kover",kover).process(X);
X2 = M8199A("kover",kover).process(X);
X3 = M8196A("kover",kover).process(X);
% X.spectrum("displayname",['Baudrate: ',num2str(fsym(i).*1e-9), ' GBd'],'fignum',4);
powerlist1(i) = X1.power;
vpplist1(i) = max(X1.signal)-min(X1.signal);
paprlist1(i) = X1.papr_lin;
powerlist2(i) = X2.power;
vpplist2(i) = max(X2.signal)-min(X2.signal);
paprlist2(i) = X2.papr_lin;
if fsym(i) <= 113e9
powerlist3(i) = X3.power;
vpplist3(i) = max(X3.signal)-min(X3.signal);
paprlist3(i) = X3.papr_lin;
else
powerlist3(i) =NaN;
vpplist3(i) = NaN;
paprlist3(i) = NaN;
end
%%%%% Pulseforming %%%%%%
rrca=0.3;
X = Pulseformer("fsym",fsym(i),"fdac",256e9,"pulse","rrc","pulselength",16,"rrcalpha",rrca).process(digimod_out);
% % %%%%% Clip to PAM range %%%%%%
min_ = min(digimod_out.signal).*1.3;
max_ = max(digimod_out.signal).*1.3;
X.signal = clip(X.signal,min_,max_);
X1 = M8199B("kover",kover).process(X);
X2 = M8199A("kover",kover).process(X);
X = Pulseformer("fsym",fsym(i),"fdac",92e9,"pulse","rrc","pulselength",16,"rrcalpha",rrca).process(digimod_out);
% % %%%%% Clip to PAM range %%%%%%
min_ = min(digimod_out.signal).*1.3;
max_ = max(digimod_out.signal).*1.3;
X.signal = clip(X.signal,min_,max_);
X3 = M8196A("kover",kover).process(X);
powerlist1_opt(i) = X1.power;
vpplist1_opt(i) = max(X1.signal)-min(X1.signal);
paprlist1_opt(i) = X1.papr_lin;
powerlist2_opt(i) = X2.power;
vpplist2_opt(i) = max(X2.signal)-min(X2.signal);
paprlist2_opt(i) = X2.papr_lin;
if fsym(i) <= 113e9
powerlist3_opt(i) = X3.power;
vpplist3_opt(i) = max(X3.signal)-min(X3.signal);
paprlist3_opt(i) = X3.papr_lin;
else
powerlist3_opt(i) =NaN;
vpplist3_opt(i) = NaN;
paprlist3_opt(i) = NaN;
end
end
cols = linspecer(3);
figure(6)
hold on
scatter(fsym.*1e-9,vpplist1,'DisplayName','M8199B','MarkerFaceColor',cols(1,:),'MarkerEdgeColor',cols(1,:),'LineWidth',2);
scatter(fsym.*1e-9,vpplist2,'DisplayName','M8199A','MarkerFaceColor',cols(2,:),'MarkerEdgeColor',cols(2,:),'LineWidth',2);
scatter(fsym.*1e-9,vpplist3,'DisplayName','M8196A','MarkerFaceColor',cols(3,:),'MarkerEdgeColor',cols(3,:),'LineWidth',2);
xticks(fsym.*1e-9)
xlabel("Baudrate in GBaud");
ylabel("Vpp in V")
legend
ylim([0.3 1.4])
thickenfigure;
figure(7)
hold on
scatter(fsym.*1e-9,powerlist1,'DisplayName','M8199B','MarkerFaceColor',cols(1,:),'MarkerEdgeColor',cols(1,:),'LineWidth',2);
scatter(fsym.*1e-9,powerlist2,'DisplayName','M8199A','MarkerFaceColor',cols(2,:),'MarkerEdgeColor',cols(2,:),'LineWidth',2);
scatter(fsym.*1e-9,powerlist3,'DisplayName','M8196A','MarkerFaceColor',cols(3,:),'MarkerEdgeColor',cols(3,:),'LineWidth',2);
xticks(fsym.*1e-9)
xlabel("Baudrate in GBaud");
ylabel("Output Power in dBm")
legend
ylim([-12 4])
thickenfigure;
figure(8)
hold on
scatter(fsym.*1e-9,paprlist1,'DisplayName','M8199B','MarkerFaceColor',cols(1,:),'MarkerEdgeColor',cols(1,:),'LineWidth',2);
scatter(fsym.*1e-9,paprlist2,'DisplayName','M8199A','MarkerFaceColor',cols(2,:),'MarkerEdgeColor',cols(2,:),'LineWidth',2);
scatter(fsym.*1e-9,paprlist3,'DisplayName','M8196A','MarkerFaceColor',cols(3,:),'MarkerEdgeColor',cols(3,:),'LineWidth',2);
xticks(fsym.*1e-9)
xlabel("Baudrate in GBaud");
ylabel("PAPR linear")
legend
ylim([3 10])
thickenfigure;
figure(9)
hold on
scatter(fsym.*1e-9,vpplist1_opt,'DisplayName','M8199B','Marker','x','MarkerFaceColor',cols(1,:),'MarkerEdgeColor',cols(1,:),'LineWidth',3);
scatter(fsym.*1e-9,vpplist2_opt,'DisplayName','M8199A','Marker','x','MarkerFaceColor',cols(2,:),'MarkerEdgeColor',cols(2,:),'LineWidth',3);
scatter(fsym.*1e-9,vpplist3_opt,'DisplayName','M8196A','Marker','x','MarkerFaceColor',cols(3,:),'MarkerEdgeColor',cols(3,:),'LineWidth',3);
xticks(fsym.*1e-9)
xlabel("Baudrate in GBaud");
ylabel("Vpp in V")
legend
ylim([0.3 1.4])
thickenfigure;
figure(10)
hold on
scatter(fsym.*1e-9,powerlist1_opt,'DisplayName','M8199B','Marker','x','MarkerFaceColor',cols(1,:),'MarkerEdgeColor',cols(1,:),'LineWidth',3);
scatter(fsym.*1e-9,powerlist2_opt,'DisplayName','M8199A','Marker','x','MarkerFaceColor',cols(2,:),'MarkerEdgeColor',cols(2,:),'LineWidth',3);
scatter(fsym.*1e-9,powerlist3_opt,'DisplayName','M8196A','Marker','x','MarkerFaceColor',cols(3,:),'MarkerEdgeColor',cols(3,:),'LineWidth',3);
xticks(fsym.*1e-9)
xlabel("Baudrate in GBaud");
ylabel("Output Power in dBm")
legend
ylim([-12 4])
thickenfigure;
figure(11)
hold on
scatter(fsym.*1e-9,paprlist1_opt,'DisplayName','M8199B','Marker','x','MarkerFaceColor',cols(1,:),'MarkerEdgeColor',cols(1,:),'LineWidth',3);
scatter(fsym.*1e-9,paprlist2_opt,'DisplayName','M8199A','Marker','x','MarkerFaceColor',cols(2,:),'MarkerEdgeColor',cols(2,:),'LineWidth',3);
scatter(fsym.*1e-9,paprlist3_opt,'DisplayName','M8196A','Marker','x','MarkerFaceColor',cols(3,:),'MarkerEdgeColor',cols(3,:),'LineWidth',3);
xticks(fsym.*1e-9)
xlabel("Baudrate in GBaud");
ylabel("PAPR linear")
legend
ylim([3 10])
thickenfigure;
autoArrangeFigures

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@@ -1,7 +1,4 @@
vp = wh.parameter.vp.values(2);
vb = wh.parameter.vb.values(1);
rop = wh.parameter.rop.values;

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@@ -1,17 +1,17 @@
%% Settings
clear
for M=[4]
for M=[8]
filename = '112G_2';
load_sequence = 0;
datarate = 448e9;
datarate = 224e9;
kover = 8;
kover = 16;
fsym = round(datarate*1e-9 / log2(M))*1e9;
fdac = fsym;%256e9;
fdac = 256e9;%fsym;
fadc = 256e9;
lowpass_cutoff = fsym/2 * 1.1;
@@ -20,11 +20,11 @@ for M=[4]
phd_bw = lowpass_cutoff;
scp_bw = lowpass_cutoff;
LP_awg = Filter('filtdegree',4,"f_cutoff",75e9,"fs",fdac*kover,"filterType",filtertypes.butterworth);
LP_modulator= Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.butterworth);
LP_opt = Filter('filtdegree',3,"f_cutoff",fsym/log2(M).*1.5,"fs",fdac*kover,"filterType",filtertypes.gaussian);
LP_phd = Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.butterworth);
LP_scpe = Filter('filtdegree',4,"f_cutoff",110e9,"fs",fadc,"filterType",filtertypes.butterworth);
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
@@ -48,15 +48,6 @@ for M=[4]
digimod_out = PAMmapper(M,0).map(bits);
digimod_out.fs = fsym;
% linearGain = 1;
% limit = 1;
% SaturatingAmplifier = serdes.SaturatingAmplifier('Mode',1,...
% 'Limit',limit,'LinearGain',linearGain);
% X.signal = SaturatingAmplifier(X.signal);
% X.signal = min(max(X.signal,-0.8),0.8);
% X = X.normalize("mode","oneone");
sir = [20:2:36]; %decibel = attenuation of interference path
laser_linewidth = [1e5 1e6 10e6];
pn_key = [1:10];
@@ -64,12 +55,12 @@ for M=[4]
vb = [1:0.1:1.8];
rop = 0;
sir = 28;
laser_linewidth = 10e6;
sir = 25;
laser_linewidth = 0;
pn_key = 9;
vp = 0.5;
vp = 1;%0.5;
vb = 1;%[1:0.1:1.8];
mpi_path = 50;
mpi_path = 0;
cnt = 1;
@@ -85,62 +76,14 @@ for M=[4]
%X = Pulseformer("fsym",fsym,"fdac",fdac,"pulse","rrc","pulselength",16,"rrcalpha",0.05).process(digimod_out);
X = digimod_out;
% % precomp
[b,a] = butter(2,75e9/(fsym/2),"low");
H=freqz(b,a,length(X),fsym,'whole');
max_amp_db = 3;
p = find(abs(H)<10^(-max_amp_db/20));
H(p) = 10^(-max_amp_db/20);
H_maxatt = H;
H_maxatt = max(H,10^(-20/20));
H_inv = 1./H_maxatt;
freq_vec = linspace(-X.fs/2,X.fs/2,length(X));
h = sin(pi*freq_vec/fdac)./(pi*freq_vec/fdac);
max_amp_db = 40;
max_amp_lin = 10^(-max_amp_db/20);
p = find(h<max_amp_lin);
h(p)=10^(-max_amp_db/20);
h = 1./h;
figure(13);
plot(freq_vec.*1e-9,20*log10(fftshift(H_inv)));
hold on
plot(freq_vec.*1e-9,20*log10((h)));
X.signal = ifft(fftshift(h).'.*fft(X.signal));
% X.signal = ifft(H_inv.*fft(X.signal));
figure(12)
spectrum_plot(X.signal,fsym);
% 5) AWG (lowpass, quantization, sample and hold)
X = AWG("fdac",fdac,"dac_min",-1,"dac_max",1,"lpf_active",0,"H_lpf",LP_awg,"kover",kover,"bit_resolution",16,"normalize2dac",1,"upsampling_method","samplehold").process(X);
spectrum_plot(X.signal,X.fs);
burg_coeff = arburg(X.signal(10000:20000),100);
[h,w] = freqz(1,burg_coeff,length(X),"whole",fsym*kover);
h = h/max(abs(h));
hold on
plot(w,20*log10(h),'DisplayName','Burg Coeff');
spectrum_plot(X.signal,X.fs);
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");
% % 7) Normalize signal
% X = X.normalize("mode","oneone");
% 1) Laser; Modulation -> OPTICAL DOMAIN
u_pi = 2;
@@ -179,12 +122,12 @@ for M=[4]
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);
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","gain","amplification_db",rop(i)).process(Combined_sig);
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
@@ -204,18 +147,8 @@ for M=[4]
% Sync Rx signal with reference
[Scpe_sig,D,cuts] = Scpe_sig.tsynch("reference",digimod_out,"fs_ref",fsym);
% % % simple EQ (optimum mudc: 0.05 -> 0.005)
% EQ_sig = EQ_silas_plain("Ne",[20,8,8],"Nb",[2,0,0],"trainlength",4096,"mu_dc_dd",0.005,"mu_dc_train",0.05,...
% "mu_ffe_train",0.005,"mu_combined_dd",[0.0004 0.0006 0.0003 0.005],"ddloops",3,'trainloops',3,'sps',2).process(Rx_sig,digimod_out);
% EQ_sig = EQ("K",2,"plottrain",0,"plotfinal",0,...
% "training_length",4096,"training_loops",3,...
% "Ne",[50,8,8],"Nb",[2,0,0],...
% "DCmu",0.005,"DDmu",[0.0004 0.0006 0.0003 0.005],"DFEmu",0.005,"FFEmu",0.00,...
% "dd_loops",3,"epsilon",[10 100 1000 ],"M",2,...
% "thres",[0.005 0.004 0.0005 ],"l1act",0,"delay",0,"rho",0.0005,"ideal_dfe",0,"DB_aim",0).process(Scpe_sig,digimod_out);
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,...
@@ -227,12 +160,12 @@ for M=[4]
"ddloops",3,...
"trainloops",3,...
"eq_parallelization_blocklength",1, ...
"eq_updatelatency",1,...
"eq_updatelatency",0,...
"eq_avg_blocklength",0).process(Scpe_sig,digimod_out);
% Demap
Rx_Bits = PAMmapper(M,0).demap(EQ_sym);
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);
@@ -240,7 +173,7 @@ for M=[4]
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;
% plot_analysis_window;
% drawnow;
end

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@@ -0,0 +1,28 @@
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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@@ -0,0 +1,206 @@
%% Parameter to simulate and save
params = struct;
params.M = [4];
params.datarate = [224];
params.sir = [24]; %decibel = attenuation of interference path
params.laser_linewidth = [1e6];
params.pn_key = [11];
params.vbias_rel = [0.5];
params.rop = -5;
params.clipfactor = [1.5];
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;
M8199 = M8199A("kover",kover);
fdac = M8199.fdac;
fsym = round(datarate / log2(M))*1e9;
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",1.3,"applypulseform",1,"pulseformer",Pform,"randkey",2).process();
%%%%% AWG %%%%%%
El_sig = M8199.process(Digi_sig);
El_sig = El_sig.*0.7222;
El_sig.signal = awgn(El_sig.signal,20,'measured',1);
%%%%% Lowpass before Modulator %%%%%%
El_sig = Filter('filtdegree',2,"f_cutoff",100e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig);
El_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",15).process(El_sig);
% 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",1.3,"applypulseform",1,"pulseformer",Pform,"randkey",1).process();
%%%%% AWG %%%%%%
El_sig_i = M8199.process(Digi_sig_i);
El_sig_i = El_sig_i.*0.7222;
El_sig_i.signal = awgn(El_sig_i.signal,20,'measured',2);
%%%%% Lowpass before Modulator %%%%%%
El_sig_i = Filter('filtdegree',2,"f_cutoff",100e9,"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",15).process(El_sig_i);
for laser_linewidth = wh.parameter.laser_linewidth.values
for pn_key = wh.parameter.pn_key.values
for vbias_rel = wh.parameter.vbias_rel.values
% MAIN SIGNAL
%%%%% MODULATE E/O CONVERSION %%%%%%
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);
% INTERFERENCE SIGNAL
%%%%% MODULATE E/O CONVERSION %%%%%%
u_pi = 2.9;
vbias = -vbias_rel*u_pi;
[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);
j_ = wh.parameter.sir.length;
i_ = wh.parameter.rop.length;
ber=zeros(j_,i_);
patten=zeros(j_,i_);
for j = 1:j_
sir = wh.parameter.sir.values(j);
%%%%% Interference Signal Fiber Prop %%%%%%
Opt_sig_i = 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 = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",Opt_sig.power-sir).process(Opt_sig_i);
%%%%% ADD Interference and Main Signal %%%%%%
Opt_sig = Opt_sig_i + Opt_sig;
%%%%% Interference Signal Fiber Prop %%%%%%
Opt_sig = Fiber("fsimu",Opt_sig.fs,"fiber_length",link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig);
% % 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);
patten(j,i) = Rx_sig.power;
%%%%%% Square Law %%%%%%
Rx_sig = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20).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.spectrum("displayname","Received Signal after PhD","fignum",201);
%%%%%% Scope %%%%%%
fadc = 256e9;
Lp_scpe = Filter('filtdegree',4,"f_cutoff",63e9,"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",16,"quantbuffer",0.1,'block_dc',1,'lpf_active',1,'H_lpf',Lp_scpe).process(Rx_sig);
Scpe_sig.plot("displayname","SIgnal after Scope","fignum",999);
%%%%%% 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",Symbols,"fs_ref",fsym);
%%%%% EQUALIZE %%%%%%
% 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("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",0);
[EQ_sig] = Eq.process(Scpe_sig,Symbols);
% EQ_sig.normalize("mode","rms").plot('fignum',23,'displayname','before eq')
%%%%% DEMAP %%%%%%
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
%%%% Look at Pam levels %%%%%
if 1
a = PAMmapper(M,0).separate_pamlevels(EQ_sig);
figure(14);hold on;scatter(1:EQ_sig.length,a,1,'.');
end
% BER
[~,errors_bm,ber(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(j,i)),' - - ROP: ',num2str(Rx_sig.power),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']);
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(j,i),'ber',M,datarate,sir,laser_linewidth,pn_key,vbias_rel,rop,clipfactor,rrcalpha);
wh.addValueToStorage(patten(j,i),'rop',M,datarate,sir,laser_linewidth,pn_key,vbias_rel,rop,clipfactor,rrcalpha);
wh.addValueToStorage(er,'er',M,datarate,sir,laser_linewidth,pn_key,vbias_rel,rop,clipfactor,rrcalpha);
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

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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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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

View File

@@ -0,0 +1,462 @@
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

View File

@@ -0,0 +1,14 @@
% settings
M = 4;
datarate = 224e9;
kover = 8;
% construct trasnmit signal
% transmit including MPI
% receive

View File

@@ -11,10 +11,9 @@ end
% SETTINGS
optimize_mudc = 0;
run_sir_sweep = 0;
run_feed_forward = 1;
run_sir_sweep = 1;
run_feed_forward = 0;
run_baseline = 0;
run_ideal_dc_tap = 0;
plot_timesignal = 1;
@@ -33,24 +32,26 @@ for bl = 1:numel(block_loop)
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';
% 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
% plot(mudc_loop,ber);
% set(gca, 'YScale', 'log');
% set(gca, 'XScale', 'log');
% scatter(best_mudc,ber(mudc_loop==best_mudc),100,'Marker','x','LineWidth',2)
% yline(ber(1));
% xlim([0,1])
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 = best_mudc;
%mudc = 0.04;%best_mudc;
mudc = 0;
[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)
@@ -67,7 +68,7 @@ end
if run_feed_forward
current_filename = 'pam4__loop_14_92Gbd_v19092023_1513.mat';
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);
@@ -91,7 +92,8 @@ 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);
@@ -219,7 +221,7 @@ function [ber,sir,fsym] = runSIRsweep(eq_parallelization_blocklength,eq_updatela
if ismac
foldername = '/Users/silasoettinghaus/Documents/MATLAB/Labor_Datensatz_PAM4_MPI/pam4_10km_1km';
else
foldername = 'C:\Users\Silas\Documents\MATLAB\Labor_Datensatz_PAM4_MPI\pam4_10km_1km';
foldername = 'C:\Users\Silas\Documents\MATLAB\Datensätze\Labor_Datensatz_PAM4_MPI_OFC2023\pam4_10km_1km';
end
allfiles = dir(foldername);
@@ -236,7 +238,7 @@ function [ber,sir,fsym] = runSIRsweep(eq_parallelization_blocklength,eq_updatela
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
sir(i) = results.sir;
disp(['fsym: ',num2str(results.fsym*1e-9),'GBd, SIR: ',num2str(results.sir),' ->> BER: ',sprintf('%2E',results.ber)]);
@@ -293,13 +295,27 @@ function results = runPostProcessing(recorded_data,mudc,eq_parallelization_block
y_rx.fs = 2.*results.fsym;
% 0) build tx reference Signal for eq training
y_digimod = Electricalsignal(recorded_data.saveStructTemp.digi_mod_out');
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,...
@@ -328,7 +344,9 @@ function results = runPostProcessing(recorded_data,mudc,eq_parallelization_block
d_correct = recorded_data.saveStructTemp.prms_out;
% 4) BER calculation
[totalbits,errors,results.ber,loc] = calc_ber(d_estimated.signal(1:end,:) ,d_correct(1:end,:)',"skip",0,"returnErrorLocation",1);
% 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)

View File

@@ -0,0 +1,86 @@
clear
M = 4;
fsym = 112e9;
fdac = 256e9;
kover = 8;
oneway_interference_meter = 0;
link_total_meter = 10000;
sir = 100;
rop = 0;
[D,B] = PAMsource("order",18,"useprbs",1,"fsym",fsym,"M",M).process();
if 1
S = Pulseformer("fsym",fsym,"fdac",256e9,"pulse","rrc","pulselength",16,"rrcalpha",0.1).process(D);
end
if 1
min_ = min(D.signal) * 1.3 ;
max_ = max(D.signal) * 1.3 ;
S.signal = clip(S.signal,min_,max_);
end
X = M8199A("kover",kover).process(S).*0.7222;
u_pi = 2.9;
vbias = -0.85*u_pi;
[O,extmodlaser] = EML("mode",eml_mode.im_cosinus,"power",0,"fsimu",X.fs,"lambda",1310,"bias",vbias,"u_pi",u_pi,"linewidth",0,"randomkey",1).process(X);
O.eye(fsym,M);
O.spectrum("fignum",112,"displayname",'Opt. transmit spectrum');
if oneway_interference_meter ~= 0
%%%%% Ping Pong/ Interference Path %%%%%%
I = Fiber("fsimu",O.fs,"fiber_length",oneway_interference_meter*2/1000,"alpha",0.3,"D",0,"lambda0",1320,"gamma",0,"Dslope",0.07).process(O);
I = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",-sir).process(I);
%%%%% Delay the "main" signal as in reality the interference is "older" than the main signal %%%%%%
[O,dly] = O.delay("delay_meter",oneway_interference_meter*2);
%%%%% Recombine Interference and Main Signal %%%%%%
O = O + I;
%%%%% Cut (due to the delays there is a jump in the signals) %%%%%%
if dly == 0;dly = 1;end
O.signal = O.signal(ceil(dly):end);
end
%%%%% Propagate through fiber %%%%%%
O = Fiber("fsimu",O.fs,"fiber_length",link_total_meter/1000,"alpha",0.3,"D",0,"lambda0",1320,"gamma",0,"Dslope",0.07).process(O);
% Set ROP
O = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",rop).process(O);
E = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20).process(O);
E = Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true).process(E);
Scpe_sig = Scope("fsimu",fdac*kover,"fadc",256e9,...
"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',Filter('filtdegree',4,"f_cutoff",63e9,"fs",256e9,"filterType",filtertypes.butterworth,"active",true)).process(E);
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig = Scpe_sig.resample("fs_in",Scpe_sig.fs,"fs_out",2*fsym);
% Scpe_sig.plot('fignum',12345,'displayname','bla')
%%%%%% Sync Rx signal with reference %%%%%%
[Scpe_sig,delayed,cuts] = Scpe_sig.tsynch("reference",D,"fs_ref",fsym);
[EQ_sig] = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",80,"sps",2,"decide",1).process(Scpe_sig,D);
[~,errors_bm,ber,errors] = calc_ber(EQ_sig.signal,B.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['BER: ',sprintf('%.1E',ber),' - - ROP: ',num2str(O.power),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']);