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Silas
2024-10-29 14:46:57 +01:00
parent 77bcfd0a2a cf4e0f2b12
commit f24482b72c
219 changed files with 29653 additions and 744 deletions
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projects/400G_FTN_setups/imdd_mpi_dsp.m
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@@ -3,30 +3,30 @@
params = struct;
params.M = [4];
params.datarate = [448];
params.rop = [0];
params.datarate = [250];
params.rop = [-10];
params.sir = 40;%15:1:40;
params.random_key_laser_phase = 10:20;
params.random_key_laser_phase = 1;
precomp_mode = 0; %0=do nothing ; 1= measure; 2=precomp active
postfilter = 0; % noise whiten. approach -> Postfilter + MLSE
db_precode = 1;
db_precode = 0;
db_encode = 0;
db_channelapproach = 1;
laser_linewidth = 50e5;
laser_linewidth = 0e5;
random_key_sequence = 15;
random_key_laser_phase = 66;
sir = 20;
sir = 60;
if ismac
precomp_path = "/Users/silasoettinghaus/Documents/MATLAB/imdd_simulation/projects/standard_system";
else
precomp_path = "C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\standard_system\";
precomp_path = "C:\Users\sioe\Documents\MATLAB\imdd_simulation\projects\standard_system\";
end
precomp_fn = "400G_simulative_setup";
precomp_fn = "400G_simulative_setup_meas";
usemrds = 0;
@@ -47,130 +47,130 @@ disp(['Start Simulation of ',num2str(endcnt),' loops...'])
tic
for random_key_laser_phase = wh.parameter.random_key_laser_phase.values
for M = wh.parameter.M.values
for datarate = wh.parameter.datarate.values
for M = wh.parameter.M.values
for datarate = wh.parameter.datarate.values
% SETUP HERE: %%
kover = 16;
M8199 = M8199B("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);
% SETUP HERE: %%
kover = 16;
M8199 = M8199B("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
% MAIN SIGNAL
%%%%% Symbol Generation MAIN %%%%%%
[Digi_sig,Symbols,Bits] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",1,...
"fs_out",M8199.fdac,"applyclipping",0,"clipfactor",1.5,...
"applypulseform",0,"pulseformer",Pform,"randkey",random_key_sequence,...
"db_precode",db_precode,"db_encode",db_encode,...
"mrds_code",usemrds,"mrds_blocklength",512).process();
%%%%% Symbol Generation MAIN %%%%%%
[Digi_sig,Symbols,Bits] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",1,...
"fs_out",M8199.fdac,"applyclipping",0,"clipfactor",1.5,...
"applypulseform",0,"pulseformer",Pform,"randkey",random_key_sequence,...
"db_precode",db_precode,"db_encode",db_encode,...
"mrds_code",usemrds,"mrds_blocklength",512).process();
%%%%% Symbol Generation INTERFERENCE %%%%%%
[Digi_sig_I,Symbols_I,Bits_I] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",0,...
"fs_out",M8199.fdac,"applyclipping",0,"clipfactor",1.5,...
"applypulseform",0,"pulseformer",Pform,"randkey",random_key_sequence+1,...
"db_precode",db_precode,"db_encode",db_encode,...
"mrds_code",usemrds,"mrds_blocklength",512).process();
%%%%% Symbol Generation INTERFERENCE %%%%%%
[Digi_sig_I,Symbols_I,Bits_I] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",0,...
"fs_out",M8199.fdac,"applyclipping",0,"clipfactor",1.5,...
"applypulseform",0,"pulseformer",Pform,"randkey",random_key_sequence+1,...
"db_precode",db_precode,"db_encode",db_encode,...
"mrds_code",usemrds,"mrds_blocklength",512).process();
% Digi_sig.eye(fsym,M);
% Digi_sig.normalize("mode","rms").spectrum("displayname",'Tx Signal','fignum',10);
% Digi_sig.eye(fsym,M);
% Digi_sig.normalize("mode","rms").spectrum("displayname",'Tx Signal','fignum',10);
if precomp_mode == 1 %measure
freqresp = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
Digi_sig = freqresp.buildOFDM();
Digi_sig_I = freqresp.buildOFDM();
elseif precomp_mode == 2 %apply
Digi_sig = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs).precomp(Digi_sig,'maxampdb',3,'loadPath',precomp_path,'fileName',precomp_fn);
Digi_sig_I = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig_I.fs).precomp(Digi_sig_I,'maxampdb',3,'loadPath',precomp_path,'fileName',precomp_fn);
Digi_sig.spectrum("fignum",11,"displayname",'after precomp');
end
if precomp_mode == 1 %measure
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
Digi_sig = precomp_est.buildOFDM();
Digi_sig_I = precomp_est.buildOFDM();
elseif precomp_mode == 2 %apply
Digi_sig = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs).precomp(Digi_sig,'maxampdb',3,'loadPath',precomp_path,'fileName',precomp_fn);
Digi_sig_I = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig_I.fs).precomp(Digi_sig_I,'maxampdb',3,'loadPath',precomp_path,'fileName',precomp_fn);
Digi_sig.spectrum("fignum",11,"displayname",'after precomp');
end
%%%%% AWG MAIN %%%%%%
El_sig = M8199.process(Digi_sig);
%%%%% AWG MAIN %%%%%%
El_sig = M8199.process(Digi_sig);
%%%%% Lowpass el. components %%%%%%
El_sig = Filter('filtdegree',2,"f_cutoff",100e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig);
%%%%% Lowpass el. components %%%%%%
El_sig = Filter('filtdegree',2,"f_cutoff",100e9,"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",3).process(El_sig);
%%%%% Electrical Driver Amplifier %%%%%%
El_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",3).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)));
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)));
% El_sig.spectrum("displayname",'Transmit PDS','fignum',10);
% El_sig.spectrum("displayname",'Transmit PDS','fignum',10);
%%%%% AWG INTERFERENCE %%%%%%
El_sig_I = M8199.process(Digi_sig_I);
%%%%% AWG INTERFERENCE %%%%%%
El_sig_I = M8199.process(Digi_sig_I);
%%%%% Lowpass el. components %%%%%%
El_sig_I = Filter('filtdegree',3,"f_cutoff",100e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig_I);
%%%%% Lowpass el. components %%%%%%
El_sig_I = Filter('filtdegree',3,"f_cutoff",100e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig_I);
%%%%% Electrical Driver Amplifier %%%%%%
El_sig_I = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",3).process(El_sig_I);
%%%%% Electrical Driver Amplifier %%%%%%
El_sig_I = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",3).process(El_sig_I);
% MAIN SIGNAL
%%%%% MODULATE E/O CONVERSION %%%%%%
vbias_rel = 0.5;
u_pi = 2.9;
vbias = -vbias_rel*u_pi;
% MAIN SIGNAL
%%%%% MODULATE E/O CONVERSION %%%%%%
vbias_rel = 0.7;
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",random_key_laser_phase).process(El_sig);
Optfilter = Filter('filtdegree',3,"f_cutoff",110e9,"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);
[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",random_key_laser_phase).process(El_sig);
Optfilter = Filter('filtdegree',3,"f_cutoff",110e9,"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);
[Opt_sig_I] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig_I.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",random_key_laser_phase+1).process(El_sig_I);
Optfilter = Filter('filtdegree',3,"f_cutoff",110e9,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true);
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);
[Opt_sig_I] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig_I.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",random_key_laser_phase+1).process(El_sig_I);
Optfilter = Filter('filtdegree',3,"f_cutoff",110e9,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true);
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);
%%%%% Interference Signal Fiber Prop 2x fiber length %%%%%%
Opt_sig_I = Fiber("fsimu",Opt_sig_I.fs,"fiber_length",2*link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig_I);
%%%%% Interference Signal Fiber Prop 2x fiber length %%%%%%
Opt_sig_I = Fiber("fsimu",Opt_sig_I.fs,"fiber_length",2*link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig_I);
% ber=zeros(i_);
% patten=zeros(i_);
i_ = wh.parameter.rop.length;
j_ = wh.parameter.sir.length;
% ber=zeros(i_);
% patten=zeros(i_);
i_ = wh.parameter.rop.length;
j_ = wh.parameter.sir.length;
ber_vnle=zeros(i_,j_);
ber_mlse=zeros(i_,j_,3);
for j = 1:j_
sir = wh.parameter.sir.values(j);
%%%%% Set SIR %%%%%%
Opt_sig_I_atten = 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_MPI = Opt_sig_I_atten + Opt_sig;
%%%%% Interference Signal Fiber Prop %%%%%%
Opt_sig_MPI = 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);
ber_vnle=zeros(i_,j_);
ber_mlse=zeros(i_,j_,3);
for j = 1:j_
sir = wh.parameter.sir.values(j);
%%%%% Set SIR %%%%%%
Opt_sig_I_atten = 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_MPI = Opt_sig_I_atten + Opt_sig;
%%%%% Interference Signal Fiber Prop %%%%%%
Opt_sig_MPI = 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);
% 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_MPI);
% patten(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);
%%%%%% Scope %%%%%%
fadc = 256e9;
Lp_scpe = Filter('filtdegree',4,"f_cutoff",100e9,"fs",fadc,"filterType",filtertypes.butterworth,"active",true);
@@ -178,56 +178,85 @@ for M = wh.parameter.M.values
"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);
if precomp_mode == 1
freqresp.estimate(Scpe_sig,"save",true,"savePath",precomp_path,"fileName",precomp_fn);
freqresp.plot();
precomp_est.estimate(Scpe_sig,"save",true,"savePath",precomp_path,"fileName",precomp_fn);
precomp_est.plot();
end
% Scpe_sig_normalized = Scpe_sig.normalize("mode","rms");
% Scpe_sig.normalize("mode","rms").spectrum("displayname",'After Scope','fignum',10);
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig = Scpe_sig.resample("fs_in",fadc,"fs_out",2*fsym);
%%%%%% Sync Rx signal with reference %%%%%%
[Scpe_sig,S] = Scpe_sig.tsynch("reference",Symbols,"fs_ref",fsym);
Scpe_sig.eye(fsym,M,"fignum",50,"displayname",'Simulated after Scope');
%%%%% 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("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",[50,7,7],"sps",2,"decide",1);
% Eq = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.0,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
% Eq = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.0,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
% Eq = FFE_Kalman("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_Kalman_Feedback("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_Kalman_Feedback("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_adaptive_decision("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",1,"buffer_length",80);
% 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",0.05,"dc_buffer_len",100);
%
% Eq = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.0,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
% 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",0.05,"dc_buffer_len",100);
%
% Eq = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.0,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
if db_channelapproach
% ref symbols and transm. sequence are precoded
[EQ_sig, Noi] = Eq.process(Scpe_sig,Duobinary().encode(Symbols));
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,~,ber_vnle(i,j),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
if db_precode
[EQ_sig, Noi] = Eq.process(Scpe_sig,Duobinary().encode(Symbols));
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,~,ber_vnle(i,j),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
else
[EQ_sig, Noi] = Eq.process(Scpe_sig,Duobinary().encode(Symbols));
EQ_sig.spectrum("displayname","Signal Spectrum after Postfilter","fignum",1234,"normalizeToNyquist",0);
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
% 2: Entschiedene Symbole codieren
EQ_sig = Duobinary().encode(EQ_sig);
% 3. Entschiedene und codierte Symbole dekodieren
EQ_sig = Duobinary().decode(EQ_sig);
% 4. Demap EQ'd symbols
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
Symbols_db = Duobinary().precode(Symbols);
Bits_ = PAMmapper(M,0).demap(Symbols_db);
[~,num_errors,ber_db,pos_errors] = calc_ber(Rx_bits.signal,Bits_.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp([' DB Precode -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber_db),' | PD_in: ',num2str(pd_in),' dBm']);
end
elseif db_encode
[EQ_sig, Noi] = Eq.process(Scpe_sig,Symbols);
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
elseif postfilter
[EQ_sig, Noi] = Eq.process(Scpe_sig,Symbols);
% EQ_sig.plot("displayname",'After VNLE','fignum',90,'clear',1);
% Quantization is too far from orig. symbols ->
@@ -237,26 +266,52 @@ for M = wh.parameter.M.values
% Noi_.normalize('mode','rms').spectrum('displayname','Noise PSD','fignum',1234,'normalizeTo0dB',1,'normalizeToNyquist',1,'color',cols(nc+1,:));
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,~,ber_vnle(i,j),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
[~,~,ber_ffe(i,j),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
if 1
figure(55);
clf
title(sprintf('PAM %d ; BER: %1.2e',M, ber_ffe(i,j)));
constellation = unique(Symbols.signal);
received = NaN(numel(constellation),length(Symbols));
for lvl = 1:numel(constellation)
%Separate the equalized signal into the
%respective levels based on the actually
%transmitted level!
received(lvl,Symbols.signal==constellation(lvl)) = EQ_sig.signal(Symbols.signal==constellation(lvl));
intermediate = received(lvl,:);
cnt(lvl) = numel(intermediate(~isnan(intermediate)));
hold on
histogram(received(lvl,:),1000,"EdgeAlpha",0,'DisplayName',['Lvl ',num2str(lvl),' | ',num2str(cnt(lvl)),' entries']);
end
legend
end
cols = linspecer(8);
EQ_sig.normalize('mode','rms').spectrum('displayname','EQ Out','fignum',1234,'normalizeTo0dB',1,'normalizeToNyquist',1,'color',cols(nc,:));
Noi.normalize('mode','rms').spectrum('displayname','Noise PSD optimal','fignum',1234,'normalizeTo0dB',1,'normalizeToNyquist',1,'color',cols(nc+1,:));
for nc = 1:3
burg_coeff = arburg(Noi.signal,nc);
EQ_sig_filt = EQ_sig.filter(burg_coeff,1);
% EQ_sig.spectrum("displayname","Signal Spectrum after Postfilter","fignum",1234);
EQ_sig_mlse = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig_filt);
% EQ_sig.spectrum("displayname","Signal Spectrum after MLSE","fignum",1234);
if 1
cols = linspecer(12);
@@ -275,9 +330,9 @@ for M = wh.parameter.M.values
w_ = (w - pi);
plot(w_,20*log10(fftshift(h)),'DisplayName',['', num2str(nc), ' coefficients for burg alg.']);
end
Rx_bits = PAMmapper(M,0).demap(EQ_sig_mlse);
[~,errors_bm,ber_mlse(i,j,nc),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
% disp(['BER: ',sprintf('%.1E',ber_mlse(i,j)),' - - ROP: ',num2str(patten(i)),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']);
@@ -286,38 +341,38 @@ for M = wh.parameter.M.values
else
% S = Scpe_sig.signal;
% S = Scpe_sig.signal;
% N1 = 101;
%
%
% % Initialize the running sum with the first window's sum
% running_sum = mean( S(1:N1) );
%
%
% % Calculate the first output value
% S_(1) = S(1) - running_sum;
%
%
% % Recursive running sum filter
% for n = 2 : length(S) - N1
% % Update running sum by removing the oldest sample and adding the newest
% avg_win(n) = mean( S(n:n+N1) );
% S_(n) = S(n) - avg_win(n);
% end
%
%
% % movmean
% S__ = S - movmean(S,[floor(N1/2),ceil(N1/2)]);
%
%
% % recursion
% % Initialize the moving sum for the first window
% half_window = (N1 - 1) / 2;
% moving_sum = sum(S(1:N1));
%
%
% % Calculate the first element of R1
% S___(half_window+1) = S(half_window+1) - (moving_sum / N1);
%
%
% % Loop over the signal and apply the recursive moving average subtraction
% for n = (half_window+2):(length(S)-half_window)
% % Update the moving sum by subtracting the oldest value and adding the new one
% moving_sum = moving_sum - S(n-half_window-1) + S(n+half_window);
%
%
% % Calculate the new value of R1
% S___(n) = S(n) - (moving_sum / N1);
% end
@@ -329,41 +384,41 @@ for M = wh.parameter.M.values
Noi.spectrum('displayname','Noise PSD','fignum',123,'normalizeTo0dB',1,'normalizeToNyquist',1);
EQ_sig.plot("displayname",'After EQ','fignum',1113);
end
%
%
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber_vnle(i,j),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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_vnle(i,j),'ber_vnle',M,datarate,rop,sir,random_key_laser_phase);
wh.addValueToStorage(ber_mlse(i,j,:),'ber_mlse',M,datarate,rop,sir,random_key_laser_phase);
end
end
toc
for j = 1:j_
sir = wh.parameter.sir.values(j);
for i = 1:i_
rop=wh.parameter.rop.values(i);
% wh.save('C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\MPI_August\auswertung\')
wh.addValueToStorage(ber_vnle(i,j),'ber_vnle',M,datarate,rop,sir,random_key_laser_phase);
wh.addValueToStorage(ber_mlse(i,j,:),'ber_mlse',M,datarate,rop,sir,random_key_laser_phase);
end
end
toc
% wh.save('C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\MPI_August\auswertung\')
end
end
end
end
disp('Simulation Done!')
ber_mlse=[];
ber_vnle=[];
cols = linspecer(8);

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filename = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\baudrate_sweep_b2b\PAMX_b2b_baudrate20241024_210648_wh.mat";
a = load(filename);
wh = a.obj;
wh.showInfo;
fsym_vals = wh.parameter.fsym.values;
rop_atten_vals = wh.parameter.rop_atten.values;
M_vals = wh.parameter.M.values;
if 1
%%% (A) PLOT ROP CURVES OF ALL THREE MODULATION FORMATS NEXT TO EACH OTHER %%%
figure(300)
clf
hold on
ber_ffe=[];
ber_mlse=[];
rop=[];
v_bias=[];
cols = [cbrewer2('Set1',9);cbrewer2('Set2',8)];
for fsym_iter = 1:numel(fsym_vals)
for modulation_iter = 1:numel(M_vals)
ber_ffe(:,modulation_iter,fsym_iter) = wh.getStoValue('ber_ffe',fsym_vals(fsym_iter),rop_atten_vals,M_vals(modulation_iter));
ber_mlse(:,modulation_iter,fsym_iter) = wh.getStoValue('ber_mlse',fsym_vals(fsym_iter),rop_atten_vals,M_vals(modulation_iter));
rop(:,modulation_iter,fsym_iter) = wh.getStoValue('rop',fsym_vals(fsym_iter),rop_atten_vals,M_vals(modulation_iter));
v_bias(:,modulation_iter,fsym_iter) = wh.getStoValue('v_bias',fsym_vals(fsym_iter),rop_atten_vals,M_vals(modulation_iter));
subplot(1,3,modulation_iter)
title(['PAM ',num2str(M_vals(modulation_iter))]);
hold on
a = plot(rop(:,modulation_iter,fsym_iter),ber_ffe(:,modulation_iter,fsym_iter),...
'Color',cols(fsym_iter,:),'MarkerSize',2,'LineWidth',1,...
'Marker','o','MarkerFaceColor',cols(fsym_iter,:),'MarkerEdgeColor','black',...
'DisplayName',[num2str(fsym_vals(fsym_iter).*1e-9),'GBd']);
a.DataTipTemplate.DataTipRows(1).Label = 'P_{out}';
a.DataTipTemplate.DataTipRows(2).Label = 'BER';
a.DataTipTemplate.DataTipRows(2).Format =['%.1e'];
a.DataTipTemplate.DataTipRows(3).Label = 'Baudr';
a.DataTipTemplate.DataTipRows(3).Value = repmat(fsym_vals(fsym_iter).*1e-9,size(rop(:,modulation_iter,fsym_iter)));
a.DataTipTemplate.DataTipRows(3).Format = ['%d',' GBd'];
a.DataTipTemplate.DataTipRows(4).Label = 'Bitr';
a.DataTipTemplate.DataTipRows(4).Value = repmat(fsym_vals(fsym_iter).*1e-9.*log2(M_vals(modulation_iter)),size(rop(:,modulation_iter,fsym_iter)));
a.DataTipTemplate.DataTipRows(4).Format = ['%d',' Gbps'];
a.DataTipTemplate.FontSize = 9;
a.DataTipTemplate.FontName = 'arial';
% Continue with the rest of your plot settings
yline(3.8e-3, 'DisplayName', 'HD-FEC', 'LineStyle', '--', 'HandleVisibility', 'off');
xlabel('Measured MZM Output Power (dBm)');
ylabel('Bit Error Rate (BER)');
set(gca, 'yscale', 'log');
set(gca, 'Box', 'on');
grid on;
grid minor;
legend('Interpreter', 'none');
end
end
end
%%% (B) PLOT BEST ROP OF EACH MOD FORMAT OVER BAUDRATE %%%
if 1
figure(211)
clf
hold on
cols = [cbrewer2('Set1',9);cbrewer2('Set2',8)];
ber_ffe=[];
ber_mlse=[];
rop=[];
v_bias=[];
for modulation_iter = 1:numel(M_vals)
ber_ffe(:,modulation_iter) = wh.getStoValue('ber_ffe',fsym_vals,rop_atten_vals(1),M_vals(modulation_iter));
ber_mlse(:,modulation_iter) = wh.getStoValue('ber_mlse',fsym_vals,rop_atten_vals(1),M_vals(modulation_iter));
rop(:,modulation_iter) = wh.getStoValue('rop',fsym_vals,rop_atten_vals(1),M_vals(modulation_iter));
v_bias(:,modulation_iter) = wh.getStoValue('v_bias',fsym_vals,rop_atten_vals(1),M_vals(modulation_iter));
a=plot(fsym_vals.*1e-9.*log2(M_vals(modulation_iter)),ber_ffe(:,modulation_iter),...
'Color',cols(modulation_iter,:),'MarkerSize',2,'LineWidth',1,...
'Marker','o','MarkerFaceColor',cols(modulation_iter,:),'MarkerEdgeColor','black',...
'DisplayName',['PAM ',num2str(M_vals(modulation_iter))]);
a.DataTipTemplate.DataTipRows(1).Label = 'Bitr';
a.DataTipTemplate.DataTipRows(1).Format = ['%.1f',' Gbps'];
a.DataTipTemplate.DataTipRows(2).Label = 'BER';
a.DataTipTemplate.DataTipRows(2).Format ='%.1e';
a.DataTipTemplate.DataTipRows(3).Label = 'P_{out}';
a.DataTipTemplate.DataTipRows(3).Value = rop(:,modulation_iter);
a.DataTipTemplate.DataTipRows(3).Format = ['%.2f',' dBm'];
a.DataTipTemplate.DataTipRows(4).Label = 'Baudr';
a.DataTipTemplate.DataTipRows(4).Value = fsym_vals.*1e-9;
a.DataTipTemplate.DataTipRows(4).Format = ['%.1f',' GBd'];
a.DataTipTemplate.FontSize = 9;
a.DataTipTemplate.FontName = 'arial';
% Continue with the rest of your plot settings
title('Opt B2B')
yline(3.8e-3, 'DisplayName', 'HD-FEC', 'LineStyle', '--', 'HandleVisibility', 'off');
xlabel('Bit Rate in GBps');
ylabel('Bit Error Rate (BER)');
set(gca, 'yscale', 'log');
set(gca, 'Box', 'on');
grid on;
grid minor;
legend('Interpreter', 'none');
end
end

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folderpath = 'C:\Users\sioe\Documents\High_Speed_Measurement_2024\baudrate_sweep_b2b\';
experiment_name = 'PAMX_b2b_baudrate';
currentTime = datetime('now', 'Format', 'yyyyMMdd_HHmmss');
timeStr = char(currentTime);
experiment_name = [experiment_name, timeStr];
ffe_only = 0;
postfilter_approach = 1;
db_channel_approach = 0;
db_coding_approach = 0;
db_precode = 0;%db_coding_approach || db_channel_approach;
%%% SIR Sweep for MPI Experiment %%%
params = struct;
params.fsym = [100:6:200].*1e9; %2.67; % PAM6=2.3V %PAM8=2.68V
params.rop_atten = 0:0.5:7;
params.M = [8,6,4];
wh = DataStorage(params);
wh.addStorage("ber_ffe");
wh.addStorage("ber_mlse");
wh.addStorage("ber_db");
wh.addStorage("pd_in");
wh.addStorage("rop");
wh.addStorage("M");
wh.addStorage("signals");
wh.addStorage("v_bias");
wh.addStorage("awg_vpp");
wh.addStorage("precomp_amp_max")
precomp_path = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\precomp\";
precomp_fn = "lab_high_speed";
precomp_mode = 2; %0=do nothing ; 1= measure; 2=precomp active
precomp_amp_max = 5;
awg_vpp = 2.7;
random_key = 2;
pd_in_set = 7;
looptotal = prod(wh.dim);
disp(['Start Measurement of ',num2str(looptotal),' loops...'])
iterationTimes = zeros(looptotal, 1); % Preallocate for speed
if ~exist('hWaitbar', 'var') || ~isvalid(hWaitbar)
hWaitbar = waitbar(0, sprintf('Starting %d measurements',looptotal), 'Name', 'Processing Progress');
else
waitbar(0, hWaitbar, sprintf('Starting %d measurements',looptotal));
end
loopcnt = 0;
estimatedTimeRemaining = 0;
estimatedTotalTime = 0;
for M = wh.parameter.M.values
%%%%% 1) SET Voltages for each modulation format once %%%%%%
if M == 4
v_bias = 2.1;
elseif M == 6
v_bias = 2.3;
elseif M == 8
v_bias = 2.67;
end
dcs = DC_supply("active",[1,0],"voltage",[v_bias, 0]);
dcs.set("voltage",[v_bias, 0]);
%%%%% SET Voltages %%%%%%
if M ~= 8
pause(30*60); %wait 30 minutes for stable bias
end
for fsym = wh.parameter.fsym.values
%%%% 2) PREARE THE TX SIGNAL ONCE FOR EACH FSYM RATE %%%%
%%%%% Construct AWG and Scope Modules %%%%%%
fdac = 256e9;
fadc = 256e9;
SCP = ScopeKeysight("model","UXR1104B",'autoscale',1,"fadc","GSa_256","channel",[0,1,0,0],"recordLen",4000000,"removeDC",1);
AWG = AwgKeysight("model","M8199B","fdac",fdac,"scaletodac",[1,1],"skews",[0,0],"voltages",[0,awg_vpp]);
A2S = Awg2Scope(AWG,SCP,[0,2,0,0],"waitUntilClick",0); %
%%%%% Symbol Generation %%%%%%
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",0.05);
[Digi_sig,Symbols,Bits] = PAMsource(...
"fsym",fsym,"M",M,"order",19,"useprbs",1,...
"fs_out",fdac,...
"applyclipping",0,"clipfactor",1.7,...
"applypulseform",0,"pulseformer",Pform,...
"randkey",random_key,...
"db_precode",db_precode,"db_encode",db_coding_approach,...
"mrds_code",0,"mrds_blocklength",512).process();
%%%%% Precompensation Routine %%%%%%
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',precomp_amp_max,'loadPath',precomp_path,'fileName',precomp_fn);
%%%%% Resample to DAC rate %%%%%%
Digi_sig = Digi_sig.resample("fs_out",AWG.fdac);
%%%%% Plot and Save Routine 1 %%%%%%%%%%%%%%%%%%%%%%%%%
%Digi_sig.spectrum("displayname","Normal Tx","fignum",10);
loop_name = ['PAM_',num2str(M),'_fsym_',num2str(fsym.*1e-9)];
save([folderpath,experiment_name,loop_name,'_bits'],"Bits");
save([folderpath,experiment_name,loop_name,'_symbols'],"Symbols");
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for rop_atten = wh.parameter.rop_atten.values
%%%%% Loop Preps
iterationStartTime = tic;
loopcnt = loopcnt+1;
%%%%% SET Attenuator %%%%%%
voa = OptAtten("active",[1,2,1,1],"value",[rop_atten,pd_in_set,0,0],"wavelength",[1310,1310,1310,1310]);
voa.set('active',[1,2,1,1],'value',[rop_atten,pd_in_set,0,0]);
%%% HERE SHOULD BE THE DATA PREPARATION WHICH IS NOW IN BETWEEN
%%% THE LOOPS :-) %%%
%%%%% AWG --> Scope %%%%%%
[~,Scpe_sig_raw,~,D] = A2S.process("signal2",Digi_sig,"waitUntilClick",0);
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig_resampled = Scpe_sig_raw.resample("fs_in",fadc,"fs_out",2*fsym);
voa.readvals();
rop = voa.power_state(1);
pd_in = voa.power_state(2);
% disp(['ROP: ',num2str(rop),' dBm || PD in: ',num2str(pd_in), ' dBm']);
%%%%%% Sync Rx signal with reference (S is a cell array with all occurences) %%%%%%
[Scpe_sig_syncd,S,isFlipped] = Scpe_sig_resampled.tsynch("reference",Symbols,"fs_ref",fsym);
%%%%% Plot and Save Routines: SAVE RECEIVED SIGNALS %%%%%%%%%%%%%%%%%%%%%%%%%
loop_name = ['PAM_',num2str(M),'_fsym_',num2str(fsym.*1e-9),'_rop_',num2str(rop_atten)];
loop_name = strrep(loop_name,'.','_');
save([folderpath,experiment_name,loop_name,'_rx_signal'],"S");
%%%%% EQUALIZE %%%%%%
Eq = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",50,"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",[50,7,7],"sps",2,"decide",1);
Eq = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
% set to minus one not zero not avoid confusion if BER is acutally zero
ber_ffe = -1;
ber_mlse = -1;
ber_db = -1;
if ffe_only %%%%%%%%%%%%%%%%%%%%%%%%%%%
[EQ_sig] = Eq.process(Scpe_sig_syncd,Symbols);
% EQ_sig.plot("fignum",50,"displayname",'After EQ');
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber_ffe,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['FFE: ',sprintf('%.1E',ber_ffe),'| ROP: ',num2str(rop),' dB | PD_in: ',num2str(pd_in),' dBm']);
if 0
EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
figure(56);
clf
title(sprintf('PAM %d ; BER: %1.2e',M, ber_ffe));
constellation = unique(Symbols.signal);
received = NaN(numel(constellation),length(Symbols));
for lvl = 1:numel(constellation)
%Separate the equalized signal into the
%respective levels based on the actually
%transmitted level!
received(lvl,Symbols.signal==constellation(lvl)) = EQ_sig.signal(Symbols.signal==constellation(lvl));
intermediate = received(lvl,:);
cnt(lvl) = numel(intermediate(~isnan(intermediate)));
hold on
histogram(received(lvl,:),1000,"EdgeAlpha",0,'DisplayName',['Lvl ',num2str(lvl),' | ',num2str(cnt(lvl)),' entries']);
end
legend
end
elseif postfilter_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
[EQ_sig] = Eq.process(Scpe_sig_syncd,Symbols);
% EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
Noi = EQ_sig-Symbols;
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,num_errors,ber_ffe,pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
nc = 2;
burg_coeff = arburg(Noi.signal,nc);
EQ_sig = EQ_sig.filter(burg_coeff,1);
if 0
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.']);
end
EQ_sig = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,num_errors,ber_mlse,pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['FFE: ',sprintf('%.1E',ber_ffe),' -> PF -> MLSE: ',sprintf('%.1E',ber_mlse),' dB | PD_in: ',num2str(pd_in),' dBm']);
elseif db_channel_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
if db_precode
[EQ_sig, Noi] = Eq.process(Scpe_sig_syncd,Duobinary().encode(Symbols));
EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,num_errors,ber_db,pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp([' DB Precode -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber_db),' | PD_in: ',num2str(pd_in),' dBm']);
else
% Toms approach für precode emulation
[EQ_sig, Noi] = Eq.process(Scpe_sig_syncd,Duobinary().encode(Symbols));
EQ_sig.spectrum("displayname","Signal Spectrum after Postfilter","fignum",1234,"normalizeToNyquist",0);
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
% 2: Entschiedene Symbole codieren
%EQ_sig = Duobinary().encode(EQ_sig);
% 3. Entschiedene und codierte Symbole dekodieren
EQ_sig = Duobinary().decode(EQ_sig);
% 4. Demap EQ'd symbols
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
Symbols_db = Duobinary().precode(Symbols);
Bits_ = PAMmapper(M,0).demap(Symbols_db);
[~,num_errors,ber_db,pos_errors] = calc_ber(Rx_bits.signal,Bits_.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp([' DB Precode -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber_db),' | PD_in: ',num2str(pd_in),' dBm']);
end
elseif db_coding_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
[EQ_sig, Noi] = Eq.process(Scpe_sig_syncd,Symbols);
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber_db,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
EQ_sig.plot("fignum",50,"displayname",'After EQ');
disp([' DB Precode -> DB Code -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber_db),' | PD_in: ',num2str(pd_in),' dBm']);
end
%%%%% Store measurement into measurement "warehouse" %%%%%%
wh.addValueToStorage(ber_ffe,'ber_ffe',fsym,rop_atten,M);
wh.addValueToStorage(ber_mlse,'ber_mlse',fsym,rop_atten,M);
wh.addValueToStorage(ber_db,'ber_db',fsym,rop_atten,M);
wh.addValueToStorage(rop,'rop',fsym,rop_atten,M);
wh.addValueToStorage(pd_in,'pd_in',fsym,rop_atten,M);
% wh.addValueToStorage(Rx_bits,'signals',fsym,awg_vpp,precomp_amp_max,rop_atten);
wh.addValueToStorage(M,'M',fsym,rop_atten,M);
wh.addValueToStorage(v_bias,"v_bias",fsym,rop_atten,M);
wh.addValueToStorage(awg_vpp,"awg_vpp",fsym,rop_atten,M);
wh.addValueToStorage(precomp_amp_max,"precomp_amp_max",fsym,rop_atten,M);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%% Plot stuff into Table (feel free to add own values in -> 'name',value <- notation. Must be closed when table is changed)%%%%%%%%%%%%%%%%%%%%%%
showCurrentMeasurement('FFE', ber_ffe,'MLSE',ber_mlse, 'Fsym',fsym.*1e-9, 'ROP', rop, 'PD in', pd_in, 'PAM',M, 'Vbias', v_bias, 'AWG Vpp', awg_vpp, 'Precomp MaxAmp',precomp_amp_max);
%%%%% Arrange Figures %%%%%%%%%%%%%%%%%%%%%%
% autoArrangeFigures(3,3,2);
iterationTimes(loopcnt) = toc(iterationStartTime);
averageTimePerIteration = mean(iterationTimes(1:loopcnt));
estimatedTotalTime = averageTimePerIteration * looptotal;
estimatedTimeRemaining = estimatedTotalTime - sum(iterationTimes(1:loopcnt));
progressFraction = loopcnt / looptotal;
waitbar(progressFraction, hWaitbar, ...
sprintf('Loop: %d of %d \n Runtime: %.1f min | %.1f sec per Loop |Time to go: %.1f min ', ...
loopcnt, looptotal, sum(iterationTimes(1:loopcnt))/60, averageTimePerIteration, estimatedTimeRemaining/60 ));
wh.save([folderpath,experiment_name,'_wh']);
if rop_atten == 0
figure(10)
hold on
col = linspecer(8);
scatter(fsym.*1e-9,ber_ffe,30,'o','MarkerEdgeColor',col(M,:),'LineWidth',2);
xlim([wh.parameter.fsym.values(1) wh.parameter.fsym.values(end)].*1e-9);
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('Interpreter', 'none');
end
end
end
end
close(hWaitbar);
wh.save([folderpath,experiment_name,'_wh_final']);
autoArrangeFigures(3,3,2)

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@@ -0,0 +1,161 @@
filename = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_5km\PAMX_5km_20241025_204334_wh.mat";
a = load(filename);
wh = a.obj;
v_bias_vals = wh.parameter.vbias.values;
awg_vpp_vals = wh.parameter.awg_vpp.values;
precomp_amp_max_vals = wh.parameter.precomp_amp_max.values;
rop_atten_vals = wh.parameter.rop_atten.values;
lambda_vals = wh.parameter.lambda.values;
M_vals = wh.parameter.M.values;
fsym_vals = [168e9, 144e9, 120e9];
ber_ffe = [];
ber_mlse = [];
rop_measured = [];
pd_in_measured = [];
rop_measured = [];
cnt = 0;
figure(252)
clf
hold on
cols = cbrewer2('Set1',3);
for l = 1:numel(lambda_vals)
for m = 1:numel(M_vals)
ber_ffe = wh.getStoValue('ber_ffe',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(m),lambda_vals(l));
ber = wh.getStoValue('ber_collect',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(m),lambda_vals(l));
exfo = wh.getStoValue('exfo',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(m),lambda_vals(l));
for e = 1:numel(exfo)
laser_pow(e) = exfo{e}.cur_power;
end
rop_measured = wh.getStoValue('rop',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(m),lambda_vals(l));
pd_in_measured(l,m,:) = wh.getStoValue('pd_in',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(m),lambda_vals(l));
rx_logbook = wh.getStoValue('rx_logbook',v_bias_vals(1),awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(1),lambda_vals(1));
subplot(1,3,l)
hold on
a = scatter(v_bias_vals,min(ber,[],2),40,'LineWidth',2,'Marker','.','DisplayName',['PAM ',num2str(M_vals(m))],'MarkerEdgeColor',cols(m,:));
title([num2str(lambda_vals(l)),'nm'])
a.DataTipTemplate.DataTipRows(1).Label = 'Vbias';
a.DataTipTemplate.DataTipRows(2).Label = 'BER';
a.DataTipTemplate.DataTipRows(2).Format ='%.1e';
a.DataTipTemplate.DataTipRows(3).Label = 'P_{out}';
a.DataTipTemplate.DataTipRows(3).Value = rop_measured;
a.DataTipTemplate.DataTipRows(3).Format = ['auto'];
a.DataTipTemplate.DataTipRows(4).Label = 'Baudr';
a.DataTipTemplate.DataTipRows(4).Value = repmat(fsym_vals(m).*1e-9,size(ber_ffe));
a.DataTipTemplate.DataTipRows(4).Format = ['%d',' GBd'];
a.DataTipTemplate.DataTipRows(5).Label = 'L_{out}';
a.DataTipTemplate.DataTipRows(5).Value = laser_pow;
a.DataTipTemplate.DataTipRows(5).Format = ['auto'];
% Polynomial fit (e.g., second-order polynomial)
[woutliers,n] = rmoutliers( min(ber,[],2) );
p = polyfit( v_bias_vals(~n), log10(woutliers), 4); % Adjust order as needed
BER_fit = polyval(p, v_bias_vals);
% Plot the fitted curve
plot(v_bias_vals, 10.^(BER_fit), '-r', 'LineWidth', 1.5,'Color',cols(m,:),'HandleVisibility','off');
% Continue with the rest of your plot settings
yline(3.8e-3, 'DisplayName', 'HD-FEC', 'LineStyle', '--', 'HandleVisibility', 'off');
xlabel('Bias Voltage');
ylabel('Bit Error Rate (BER)');
sgtitle('Bit Error Rate vs. ROP');
set(gca, 'yscale', 'log');
set(gca, 'Box', 'on');
grid on;
grid minor;
legend('Interpreter', 'none');
ylim([1e-3,0.5]);
xlim([-16, -2]);
ylim([1e-3,0.5]);
xlim([min(v_bias_vals) max(v_bias_vals)]);
end
end
filename = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_testing_and_b2b\PAM4_b2b_bias_sweep_20241023_191202_wh_BB_BIAS_FINAL.mat";
a = load(filename);
wh = a.obj;
v_bias_vals = wh.parameter.vbias.values;
awg_vpp_vals = wh.parameter.awg_vpp.values;
precomp_amp_max_vals = wh.parameter.precomp_amp_max.values;
rop_atten_vals = wh.parameter.rop_atten.values;
M_vals = wh.parameter.M.values;
ber_ffe = [];
ber_mlse = [];
rop_measured = [];
pd_in_measured = [];
figure(2024)
for i = 1:3
ber_ffe(i,:) = wh.getStoValue('ber_ffe',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(i));
rop_measured(i,:) = wh.getStoValue('rop',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(i));
[bestber,bestindex] = min(ber_ffe(i,:),[],'all');
[awg_pos,v_bias_pos]=ind2sub(size(ber_ffe(i,:)),bestindex);
bestawgvpp=awg_vpp_vals(awg_pos);
bestvbias=v_bias_vals(v_bias_pos);
disp(['Best Vpp: ',num2str(bestvbias),' V; Best Vpp AWG: ',num2str(bestawgvpp),' V' ]);
% Polynomial fit (e.g., second-order polynomial)
[woutliers,n] = rmoutliers( ber_ffe(i,:) );
p = polyfit( v_bias_vals(~n), log10(woutliers), 8); % Adjust order as needed
BER_fit = polyval(p, v_bias_vals);
% Plot the fitted curve
plot(v_bias_vals, 10.^(BER_fit), '-r', 'LineWidth', 1.5,'Color',cols(i,:),'HandleVisibility','off');
hold on
a = scatter(v_bias_vals,ber_ffe(i,:),'Marker','+','DisplayName',['PAM ',num2str(wh.parameter.M.values(i))],'MarkerEdgeColor',cols(i,:));
a.DataTipTemplate.DataTipRows(1).Label = 'Vbias';
a.DataTipTemplate.DataTipRows(2).Label = 'BER';
a.DataTipTemplate.DataTipRows(2).Format ='%.1e';
a.DataTipTemplate.DataTipRows(3).Label = 'P_{out}';
a.DataTipTemplate.DataTipRows(3).Value = rop_measured(i,:);
a.DataTipTemplate.DataTipRows(3).Format = 'auto';
end
% Continue with the rest of your plot settings
yline(3.8e-3, 'DisplayName', 'HD-FEC', 'LineStyle', '--', 'HandleVisibility', 'off');
xlabel('Bias Voltage');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. ROP | MI->DO | B2B');
set(gca, 'yscale', 'log');
set(gca, 'Box', 'on');
grid on;
grid minor;
legend('Interpreter', 'none');
ylim([1e-4,0.5]);
xlim([1.6 3.2]);

677
projects/HighSpeedExperiment_2024/bias_optimization.m
View File

@@ -1,10 +1,13 @@
folderpath = 'C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_testing\';
experiment_name = 'PAM4_b2b_';
folderpath = 'C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_5km\';
experiment_name = 'PAMX_5km_';
currentTime = datetime('now', 'Format', 'yyyyMMdd_HHmmss');
timeStr = char(currentTime);
experiment_name = [experiment_name, timeStr];
ffe_only = 0;
postfilter_approach = 1;
db_channel_approach = 0;
postfilter_approach = 0;
db_channel_approach = 1;
db_coding_approach = 0;
db_precode = db_coding_approach || db_channel_approach;
@@ -12,247 +15,533 @@ db_precode = db_coding_approach || db_channel_approach;
%%% SIR Sweep for MPI Experiment %%%
params = struct;
params.vbias = [3];
% params.vbias = [1.7:0.02:3.2]; % PAM6=2.3V %PAM8=2.68V
% params.awg_vpp = [2.7];
% params.precomp_amp_max = [5];
% params.rop_atten = [0];
% params.M = [4,6,8];
% params.lambda = [1293,1310,1327.4]; %calcWavelengthPlan(16, 400e9 , 1310);
params.vbias = [2.3]; %PAM4=2.3 V PAM6=2.3V %PAM8=2.6V
params.awg_vpp = [2.7];
params.precomp_amp_max = [-50];
params.rop_atten = [0];
params.M = [4];
params.lambda = [1310]; %calcWavelengthPlan(16, 400e9 , 1310);
params.rcalpha = [0.05];
wh = DataStorage(params);
wh.addStorage("ber");
wh.addStorage("ber_collect");
wh.addStorage("ber_ffe");
wh.addStorage("ber_mlse");
wh.addStorage("ber_db");
wh.addStorage("pd_in");
wh.addStorage("rop");
wh.addStorage("m");
wh.addStorage("signals");
wh.addStorage("rx_logbook");
wh.addStorage("dcs");
wh.addStorage("pdfa");
wh.addStorage("exfo");
precomp_path = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\precomp\";
precomp_fn = "lab_high_speed";
precomp_mode = 2; %0=do nothing ; 1= measure; 2=precomp active
precomp_amp_max = 4;
M = 4;
pn_key = 2;
usemrds = 0;
fsym = 170e9;
fdac = 256e9;
awg_vpp = 0.35;
fadc = 256e9;
rrcalpha = 0.05;
v_bias = 2.25;
pd_in_set = 6;
rop_atten = 0;
precomp_amp_max = -34;
random_key = 2;
pd_in_set = 8;
looptotal = prod(wh.dim);
disp(['Start Measurement of ',num2str(looptotal),' loops...'])
iterationTimes = zeros(looptotal, 1); % Preallocate for speed
if ~exist('hWaitbar', 'var') || ~isvalid(hWaitbar)
hWaitbar = waitbar(0, sprintf('Starting %d measurements',looptotal), 'Name', 'Processing Progress');
else
waitbar(0, hWaitbar, sprintf('Starting %d measurements',looptotal));
end
looptatal = prod(wh.dim);
disp(['Start Measurement of ',num2str(looptatal),' loops...'])
hWaitbar = waitbar(0, 'Starting measurement...', 'Name', 'Processing Progress');
loopcnt = 0;
estimatedTimeRemaining = 0;
estimatedTotalTime = 0;
for v_bias = wh.parameter.vbias.values
for awg_vpp = wh.parameter.awg_vpp.values
for rcalpha = wh.parameter.rcalpha.values
for lambda = wh.parameter.lambda.values
loopcnt = loopcnt+1;
progressFraction = loopcnt / looptatal;
waitbar(progressFraction, hWaitbar, ...
sprintf('Progress: %d/%d', loopcnt, looptatal));
exfo = Exfo_laser("serialport_number",'COM8','mainframe_channel',1,'safety_mode',0);
pdfa = Thor_PDFA("safety_mode",0);
exfo.getLaserInfo;
loop_name = ['_fsym_',num2str(fsym)];
if ~(exfo.cur_wavelength == lambda)
%%%%% SET Voltages %%%%%%
dcs = DC_supply("active",[1,0],"voltage",[v_bias, 0]);
dcs.set("voltage",[v_bias, 0]);
% 1)
pdfa.disablePDFA;
%%%%% SET Attenuator %%%%%%
voa = OptAtten("active",[1,2,1,1],"value",[rop_atten,pd_in_set,0,0],"wavelength",[1310,1310,1310,1310]);
voa.set('active',[1,2,1,1],'value',[rop_atten,pd_in_set,0,0]);
% voa.readvals();
% 2)
exfo.setWavelength(lambda);
%%%%% Construct AWG and Scope Modules %%%%%%
SCP = ScopeKeysight("model","UXR1104B",'autoscale',0,"fadc","GSa_256","channel",[0,1,0,0],"recordLen",2000000,"removeDC",1);
AWG = AwgKeysight("model","M8199B","fdac",fdac,"scaletodac",[1,1],"skews",[0,0],"voltages",[0,awg_vpp]);
A2S = Awg2Scope(AWG,SCP,[0,2,0,0]);
% 3)
pdfa.enablePDFA();
%%%%% Symbol Generation %%%%%%
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rrcalpha);
% 4)
pdfa.setPumpLevel(100);
[Digi_sig,Symbols,Bits] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",1,...
"fs_out",fdac,"applyclipping",0,"clipfactor",1.7,...
"applypulseform",0,"pulseformer",Pform,"randkey",pn_key,...
"db_precode",db_precode,...
"mrds_code",usemrds,"mrds_blocklength",512,"db_encode",db_coding_approach).process();
%%%%% Precompensation Routine %%%%%%
if precomp_mode == 1 % measure channel
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',fdac);
Digi_sig = precomp_est.buildOFDM();
elseif precomp_mode == 2 % apply precomp
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',precomp_amp_max,'loadPath',precomp_path,'fileName',precomp_fn);
end
%%%%% Resample to DAC rate %%%%%%
Digi_sig = Digi_sig.resample("fs_out",AWG.fdac);
% 5) SET to first vbias and wait 30 minutes
v_bias_first = wh.parameter.vbias.values(1);
dcs = DC_supply("active",[1,0],"voltage",[v_bias_first, 0]);
dcs.set("voltage",[v_bias_first, 0]);
dcs.readVals();
% pause(30*60); %wait 30 minutes for stable bias
for v_bias = wh.parameter.vbias.values
for rop_atten = wh.parameter.rop_atten.values
for precomp_amp_max = wh.parameter.precomp_amp_max.values
for M = wh.parameter.M.values
for awg_vpp = wh.parameter.awg_vpp.values
iterationStartTime = tic;
loopcnt = loopcnt+1;
if M == 4
fsym = 220e9;
pulsef = 0;
elseif M == 6
fsym = 180e9;
pulsef = 0;
elseif M == 8
fsym = 160e9;
pulsef = 0;
end
%%%%% Loop Preps
%fsym = round(targetrate/log2(M));
loop_name = ['_fsym_',num2str(fsym)];
%%%%% SET Voltages %%%%%%
dcs = DC_supply("active",[1,0],"voltage",[v_bias, 0]);
dcs.set("voltage",[v_bias, 0]);
%%%%% SET Attenuator %%%%%%
voa = OptAtten("active",[1,2,1,1],"value",[rop_atten,pd_in_set,0,0],"wavelength",[1310,1310,1310,1310],"speed",[1000,100,1000,1000]);
voa.set('active',[1,2,1,1],'value',[rop_atten,pd_in_set,0,0]);
% voa.readvals();
%%%%% Construct AWG and Scope Modules %%%%%%
fdac = 256e9;
fadc = 256e9;
SCP = ScopeKeysight("model","UXR1104B",'autoscale',1,"fadc","GSa_256","channel",[0,1,0,0],"recordLen",3000000,"removeDC",1);
AWG = AwgKeysight("model","M8199B","fdac",fdac,"scaletodac",[1,1],"skews",[0,0],"voltages",[0,awg_vpp]);
A2S = Awg2Scope(AWG,SCP,[0,2,0,0],"waitUntilClick",0); %
%%%%% Symbol Generation %%%%%%
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rcalpha);
[Digi_sig,Symbols,Bits] = PAMsource(...
"fsym",fsym,"M",M,"order",19,"useprbs",1,...
"fs_out",fdac,...
"applyclipping",0,"clipfactor",1.5,...
"applypulseform",pulsef,"pulseformer",Pform,...
"randkey",random_key,...
"db_precode",db_precode,"db_encode",db_coding_approach,...
"mrds_code",0,"mrds_blocklength",512).process();
Digi_sig.spectrum("displayname","Normal Tx","fignum",10,"normalizeToNyquist",0,"normalizeTo0dB",0);
%%%%% Plot and Save Routine 1 %%%%%%%%%%%%%%%%%%%%%%%%%
% Digi_sig.spectrum("displayname","Normal Tx","fignum",10);
%%%%% Precompensation Routine %%%%%%
if precomp_mode == 1 % measure channel
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',fdac);
Digi_sig = precomp_est.buildOFDM();
elseif precomp_mode == 2 % apply precomp
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',precomp_amp_max,'loadPath',precomp_path,'fileName',precomp_fn);
end
% save([folderpath,[experiment_name,'bits'],loop_name],"Bits");
% save([folderpath,[experiment_name,'symbols'],loop_name],"Symbols");
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%% AWG --> Scope %%%%%%
[~,Scpe_sig,~,D] = A2S.process("signal2",Digi_sig);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Scpe_sig.spectrum("displayname","Scope PSD","fignum",20);
% Scpe_sig.plot("displayname","Scope raw signal","fignum",25);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%% Resample to DAC rate %%%%%%
Digi_sig = Digi_sig.resample("fs_out",AWG.fdac);
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig = Scpe_sig.resample("fs_in",fadc,"fs_out",2*fsym);
%%%%% Plot and Save Routine 1 %%%%%%%%%%%%%%%%%%%%%%%%%
Digi_sig.spectrum("displayname","Normal Tx","fignum",14,"normalizeToNyquist",0,"normalizeTo0dB",0);
%%%%% Precompensation Routine %%%%%%
if precomp_mode == 1
precomp_est.estimate(Scpe_sig,"save",true,"savePath",precomp_path,"fileName",precomp_fn);
precomp_est.plot();
end
% save([folderpath,[experiment_name,'_bits'],loop_name],"Bits");
% save([folderpath,[experiment_name,'_symbols'],loop_name],"Symbols");
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
voa.readvals();
rop = voa.power_state(1);
pd_in = voa.power_state(2);
disp(['ROP: ',num2str(rop),' dBm || PD in: ',num2str(pd_in), ' dBm']);
%%%%% AWG --> Scope %%%%%%
[~,Scpe_sig_raw,~,D] = A2S.process("signal2",Digi_sig,"waitUntilClick",0);
%%%%%% Sync Rx signal with reference %%%%%%
[Scpe_sig,S] = Scpe_sig.tsynch("reference",Symbols,"fs_ref",fsym);
Scpe_sig_raw.spectrum("displayname","Scope PSD","fignum",20,"normalizeTo0dB",1);
Scpe_sig_raw.plot("displayname","Scope raw signal","fignum",29,"clear",1);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%% SNR CHEAT - Avg. the measured signal occurences %%%%%%
average_signals = 0;
if average_signals
scope_mean = zeros(size(S{1}.signal));
for n=1:numel(S)
scope_mean = scope_mean + S{n}.signal;
end
scope_mean = scope_mean ./ n;
Scpe_sig.signal = scope_mean;
end
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig_resampled = Scpe_sig_raw.resample("fs_in",fadc,"fs_out",2*fsym);
%%%%% Plot and Save Routine 2 %%%%%%%%%%%%%%%%%%%%%%%%%
save([folderpath,experiment_name,'rx_signal',loop_name],"S");
Scpe_sig.eye(fsym,M,"fignum",40,"displayname",' after Scope');
%%%%% Precompensation Routine %%%%%%
if precomp_mode == 1
precomp_est.estimate(Scpe_sig_resampled,"save",true,"savePath",precomp_path,"fileName",precomp_fn);
precomp_est.plot();
end
voa.readvals();
rop = voa.power_state(1);
pd_in = voa.power_state(2);
voa.readvals();
rop = voa.power_state(1);
pd_in = voa.power_state(2);
disp(['ROP: ',num2str(rop),' dBm || PD in: ',num2str(pd_in), ' dBm']);
%%%%% EQUALIZE %%%%%%
Eq = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",50,"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",[50,7,7],"sps",2,"decide",1);
% Eq = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
%%%%%% Sync Rx signal with reference (S is a cell array with all occurences) %%%%%%
[Scpe_sig_syncd,S,isFlipped] = Scpe_sig_resampled.tsynch("reference",Symbols,"fs_ref",fsym);
if ffe_only %%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%% SNR CHEAT - Avges the measured signal occurences found after correlation in "tsynch" %%%%%%
average_signals = 0;
if average_signals
Scpe_sig_avg = Scpe_sig_syncd;
scope_mean = zeros(size(S{1}.signal));
for n=1:numel(S)
scope_mean = scope_mean + S{n}.signal;
end
scope_mean = scope_mean ./ n;
Scpe_sig_avg.signal = scope_mean;
[EQ_sig] = Eq.process(Scpe_sig,Symbols);
Scpe_sig_avg.spectrum("displayname","Scope PSD","fignum",20,"normalizeTo0dB",1);
Scpe_sig_avg.plot("displayname","Scope raw signal","fignum",27,"clear",1);
Scpe_sig_avg.eye(fsym,M,"fignum",41,"displayname",' Eye of AVG Signal');
end
EQ_sig.plot("fignum",50,"displayname",'After EQ');
% Optfilter = Filter('filtdegree',6,"f_cutoff",100e9,"fs",Scpe_sig_avg.fs,"filterType",filtertypes.gaussian,"active",true);
% Scpe_sig_syncd = Optfilter.process(Scpe_sig_syncd);
% Scpe_sig_syncd.spectrum("displayname","Scope PSD","fignum",20,"normalizeTo0dB",1);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
%%%%% Plot and Save Routines: SAVE RECEIVED SIGNALS %%%%%%%%%%%%%%%%%%%%%%%%%
% save([folderpath,experiment_name,'_rx_signal',loop_name],"S");
[~,errors_bm,ber,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
Scpe_sig_syncd.eye(fsym,M,"fignum",40,"displayname",' after Scope');
disp(['FFE: ',sprintf('%.1E',ber),'| ROP: ',num2str(rop),' dB | PD_in: ',num2str(pd_in),' dBm']);
%%%%% EQUALIZE %%%%%%
Eq = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",50,"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",[50,7,7],"sps",2,"decide",1);
Eq = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
if 1
figure(53);
constellation = unique(Symbols.signal);
received = NaN(numel(constellation),length(Symbols));
for lvl = 1:numel(constellation)
received(lvl,Symbols.signal==constellation(lvl)) = EQ_sig.signal(Symbols.signal==constellation(lvl));
hold on
histogram(received(lvl,:),1000,"EdgeAlpha",0);
% set to minus one not zero not avoid confusion if BER is acutally zero
ber_ffe = -1;
ber_mlse = -1;
ber_db = -1;
if ffe_only %%%%%%%%%%%%%%%%%%%%%%%%%%%
ber = [];
parfor i = 1:numel(S)
[EQ_sig] = Eq.process(S{i},Symbols);
% EQ_sig.plot("fignum",50,"displayname",'After EQ');
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber(i),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
% disp(['FFE: ',sprintf('%.1E',ber(i)),'| ROP: ',num2str(rop),' dB | PD_in: ',num2str(pd_in),' dBm']);
end
disp(['FFE EQ: BEST BER: ',sprintf('%.1E',min(ber)),' AVG BER: ',sprintf('%.1E',mean(ber)),' WORST:',sprintf('%.1E',max(ber)),'. Out of ',num2str(numel(ber))]);
try
ber_ffe = mean(rmoutliers(ber));
catch
ber_ffe = min(ber);
end
if 0
EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
figure(56);
clf
title(sprintf('PAM %d ; BER: %1.2e',M, ber_ffe));
constellation = unique(Symbols.signal);
received = NaN(numel(constellation),length(Symbols));
for lvl = 1:numel(constellation)
%Separate the equalized signal into the
%respective levels based on the actually
%transmitted level!
received(lvl,Symbols.signal==constellation(lvl)) = EQ_sig.signal(Symbols.signal==constellation(lvl));
intermediate = received(lvl,:);
cnt(lvl) = numel(intermediate(~isnan(intermediate)));
hold on
histogram(received(lvl,:),1000,"EdgeAlpha",0,'DisplayName',['Lvl ',num2str(lvl),' | ',num2str(cnt(lvl)),' entries']);
end
legend
end
elseif postfilter_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
ber_vnle = [];
ber_vnle_mlse = [];
ber_ffe_mlse =[];
ber_ffe = [];
parfor s = 1:numel(S)
if 1
%FFE LINEAR
Eq = EQ("Ne",[50,0,0],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
Scpe_sig_syncd = S{s};
[EQ_ffe] = Eq.process(Scpe_sig_syncd,Symbols);
Noi = EQ_ffe-Symbols;
Rx_bits = PAMmapper(M,0).demap(EQ_ffe);
[~,num_errors,ber_ffe(s),pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
if 1
%FFE + MLSE
nc = 2;
burg_coeff = arburg(Noi.signal,nc);
EQ_ffe = EQ_ffe.filter(burg_coeff,1);
EQ_mlse = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_ffe);
Rx_bits = PAMmapper(M,0).demap(EQ_mlse);
[~,num_errors,ber_ffe_mlse(s),pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
%VNLE
Eq = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
Scpe_sig_syncd = S{s};
[EQ_vnle] = Eq.process(Scpe_sig_syncd,Symbols);
Noi = EQ_vnle-Symbols;
Rx_bits = PAMmapper(M,0).demap(EQ_vnle);
[~,num_errors,ber_vnle(s),pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
%VNLE + MLSE
if 0
nc = 2;
burg_coeff = arburg(Noi.signal,nc);
EQ_mlse = EQ_vnle.filter(burg_coeff,1);
EQ_mlse = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_mlse);
Rx_bits = PAMmapper(M,0).demap(EQ_mlse);
[~,num_errors,ber_vnle_mlse(s),pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
end
disp(['FFE EQ: BEST BER: ',sprintf('%.1E',min(ber_ffe)),' AVG BER: ',sprintf('%.1E',mean(ber_ffe)),' WORST:',sprintf('%.1E',max(ber_ffe)),'. Out of ',num2str(numel(ber_ffe))]);
disp(['FFE + MLSE EQ: BEST BER: ',sprintf('%.1E',min(ber_ffe_mlse)),' AVG BER: ',sprintf('%.1E',mean(ber_ffe_mlse)),' WORST:',sprintf('%.1E',max(ber_ffe_mlse)),'. Out of ',num2str(numel(ber_ffe_mlse))]);
disp(['VNLE EQ: BEST BER: ',sprintf('%.1E',min(ber_vnle)),' AVG BER: ',sprintf('%.1E',mean(ber_vnle)),' WORST:',sprintf('%.1E',max(ber_vnle)),'. Out of ',num2str(numel(ber_vnle))]);
% disp(['VNLE+MLSE EQ: BEST BER: ',sprintf('%.1E',min(ber_vnle_mlse)),' AVG BER: ',sprintf('%.1E',mean(ber_vnle_mlse)),' WORST:',sprintf('%.1E',max(ber_vnle_mlse)),'. Out of ',num2str(numel(ber_ffe))]);
if 0
window = 100;
Noi_ = Noi;
Noi.signal = Noi.signal - movmean(Noi.signal,[floor(window/2),ceil(window/2)]);
EQ_vnle.spectrum('displayname','EQ out PSD','fignum',123);
Noi.spectrum('displayname','Noise PSD','fignum',123);
nc = 1;
burg_coeff = arburg(Noi.signal,nc);
[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.']);
end
if 0
figure(57);
clf
title(sprintf('PAM %d ; BER: %1.2e',M, ber_ffe));
constellation = unique(Symbols.signal);
received = NaN(numel(constellation),length(Symbols));
for lvl = 1:numel(constellation)
%Separate the equalized signal into the
%respective levels based on the actually
%transmitted level!
received(lvl,Symbols.signal==constellation(lvl)) = EQ_vnle.signal(Symbols.signal==constellation(lvl));
intermediate = received(lvl,:);
cnt(lvl) = numel(intermediate(~isnan(intermediate)));
hold on
histogram(received(lvl,:),1000,"EdgeAlpha",0,'DisplayName',['Lvl ',num2str(lvl),' | ',num2str(cnt(lvl)),' entries']);
end
legend
end
% disp(['FFE: ',sprintf('%.1E',ber_ffe),' -> PF -> MLSE: ',sprintf('%.1E',ber_mlse),' dB | PD_in: ',num2str(pd_in),' dBm']);
elseif db_channel_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
parfor s = 1:numel(S)
Scpe_sig_syncd = S{s};
[EQ_sig, Noi] = Eq.process(Scpe_sig_syncd,Duobinary().encode(Symbols));
% EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,num_errors,ber_db(s),pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
%disp([' DB Precode -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber_db(s)),' | PD_in: ',num2str(pd_in),' dBm']);
end
disp(['DB EQ: BEST BER: ',sprintf('%.1E',min(ber_db)),' AVG BER: ',sprintf('%.1E',mean(ber_db)),' WORST:',sprintf('%.1E',max(ber_db)),'. Out of',num2str(numel(ber_db))]);
ber = min(ber_db);
elseif db_coding_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
[EQ_sig, Noi] = Eq.process(Scpe_sig_syncd,Symbols);
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber_db,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
EQ_sig.plot("fignum",50,"displayname",'After EQ');
disp([' DB Precode -> DB Code -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber_db),' | PD_in: ',num2str(pd_in),' dBm']);
end
%%%%% Store measurement into measurement "warehouse" %%%%%%
wh.addValueToStorage(ber,'ber_collect',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
wh.addValueToStorage(ber_ffe,'ber_ffe',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
wh.addValueToStorage(ber_mlse,'ber_mlse',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
wh.addValueToStorage(ber_db,'ber_db',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
wh.addValueToStorage(rop,'rop',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
wh.addValueToStorage(pd_in,'pd_in',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
% Rx_bits.logbook.SignalCopy = [];
% wh.addValueToStorage(Rx_bits,'rx_logbook',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
wh.addValueToStorage(M,'m',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
wh.addValueToStorage(dcs,'dcs',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
wh.addValueToStorage(pdfa,'pdfa',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
wh.addValueToStorage(exfo,'exfo',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda,rcalpha);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%% Plot stuff into Table (feel free to add own values in -> 'name',value <- notation. Must be closed when table is changed)%%%%%%%%%%%%%%%%%%%%%%
% showCurrentMeasurement('BER', min(ber_vnle),'BER',mean(ber_vnle),'Alpha',rcalpha, 'Fsym',fsym.*1e-9, 'ROP', rop,'pulsef',pulsef,'rrcalpha',rrcalpha, 'PAM',M, 'Vbias', v_bias, 'AWG Vpp', awg_vpp, 'Precomp MaxAmp',precomp_amp_max);
%%%%% Arrange Figures %%%%%%%%%%%%%%%%%%%%%%
autoArrangeFigures(3,3,2);
iterationTimes(loopcnt) = toc(iterationStartTime);
averageTimePerIteration = mean(iterationTimes(1:loopcnt));
estimatedTotalTime = averageTimePerIteration * looptotal;
estimatedTimeRemaining = estimatedTotalTime - sum(iterationTimes(1:loopcnt));
progressFraction = loopcnt / looptotal;
waitbar(progressFraction, hWaitbar, ...
sprintf('Loop: %d of %d \n Runtime: %.1f min | %.1f sec per Loop |Time to go: %.1f min ', ...
loopcnt, looptotal, sum(iterationTimes(1:loopcnt))/60, averageTimePerIteration, estimatedTimeRemaining/60 ));
wh.save([folderpath,experiment_name,'_wh']);
end
end
end
end
elseif postfilter_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
[EQ_sig] = Eq.process(Scpe_sig,Symbols);
EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
Noi = EQ_sig-Symbols;
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber_ffe_only,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
nc = 3;
burg_coeff = arburg(Noi.signal,nc);
EQ_sig = EQ_sig.filter(burg_coeff,1);
if 0
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.']);
end
EQ_sig = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp(['FFE: ',sprintf('%.1E',ber_ffe_only),' -> PF -> MLSE: ',sprintf('%.1E',ber),' dB | PD_in: ',num2str(pd_in),' dBm']);
elseif db_channel_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
[EQ_sig, Noi] = Eq.process(Scpe_sig,Duobinary().encode(Symbols));
EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
disp([' DB Precode -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber),' | PD_in: ',num2str(pd_in),' dBm']);
elseif db_coding_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
[EQ_sig, Noi] = Eq.process(Scpe_sig,Symbols);
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,errors_bm,ber,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
EQ_sig.plot("fignum",50,"displayname",'After EQ');
disp([' DB Precode -> DB Code -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber),' | PD_in: ',num2str(pd_in),' dBm']);
end
wh.addValueToStorage(ber,'ber',v_bias,awg_vpp);
wh.addValueToStorage(rop,'rop',v_bias,awg_vpp);
wh.addValueToStorage(pd_in,'pd_in',v_bias,awg_vpp);
wh.addValueToStorage(Rx_bits,'signals',v_bias,awg_vpp);
wh.addValueToStorage(M,'m',v_bias,awg_vpp);
showCurrentMeasurement('BER', ber, 'ROP', rop, 'PD in', pd_in, 'PAM',M, 'Vbias', v_bias, 'AWG Vpp', awg_vpp, 'Precomp MaxAmp',precomp_amp_max);
autoArrangeFigures(3,3,2);
end
end
close(hWaitbar);
wh.save([folderpath,experiment_name,'_wh']);
autoArrangeFigures(3,3,2)
% autoArrangeFigures(3,3,2)
%%% LAMBDA PLOT
if 0
lambda_vals = wh.parameter.lambda.values;
ber_ffe = wh.getStoValue('ber_ffe',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda_vals);
ber_mlse = wh.getStoValue('ber_mlse',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda_vals);
rop_measured = wh.getStoValue('rop',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda_vals);
pd_in_measured = wh.getStoValue('pd_in',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda_vals);
figure(240);
hold on
legendname = ['5 km Fsym:',num2str(fsym.*1e-9),' GBd | PAM',num2str(M),' | PD: ',num2str(pd_in_set),'| Vbias: ', num2str(v_bias),'V | '];
ffeLine = plot(lambda_vals, ber_ffe, "LineWidth", 0.5, "LineStyle", "-", "Marker", ".", "MarkerSize", 15, "DisplayName", [legendname,' + VNLE']);
% Continue with the rest of your plot settings
yline(3.8e-3, 'DisplayName', 'HD-FEC', 'LineStyle', '--', 'HandleVisibility', 'off');
xlabel('Wavelength in nm');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. ROP');
set(gca, 'yscale', 'log');
set(gca, 'Box', 'on');
grid on;
grid minor;
legend('Interpreter', 'none');
end
%%% ROP PLOT
if 0
rop_vals = wh.parameter.rop_atten.values;
ber_ffe = wh.getStoValue('ber_ffe',v_bias,awg_vpp,precomp_amp_max,rop_vals,M);
ber_mlse = wh.getStoValue('ber_mlse',v_bias,awg_vpp,precomp_amp_max,rop_vals,M);
rop_measured = wh.getStoValue('rop',v_bias,awg_vpp,precomp_amp_max,rop_vals,M);
pd_in_measured = wh.getStoValue('pd_in',v_bias,awg_vpp,precomp_amp_max,rop_vals,M);
legendname = ['Thormax: ',num2str(fsym.*1e-9),' GBd | PAM',num2str(M),' | PD: ',num2str(pd_in_set),'| Vbias: ', num2str(v_bias),'V | '];
figure(230);
hold on; % Retain the plot so new points can be added without complete redraw
% Plot the data and get the line handle
ffeLine = plot(rop_measured, ber_ffe, "LineWidth", 0.5, "LineStyle", "-", "Marker", ".", "MarkerSize", 15, "DisplayName", [legendname,' + FFE']);
mlseLine = plot(rop_measured, ber_mlse, "LineWidth", 0.5, "LineStyle", "-", "Marker", ".", "MarkerSize", 15, "DisplayName", [legendname,' +MLSE']);
% Store pd_in_measured in the ZData property
ffeLine.ZData = pd_in_measured;
% Customize the data tips
% Set labels for existing data tip rows
ffeLine.DataTipTemplate.DataTipRows(1).Label = 'ROP';
ffeLine.DataTipTemplate.DataTipRows(2).Label = 'FFE';
ffeLine.DataTipTemplate.DataTipRows(2).Format = '%.2e'; % Format BER as "3e-4"
% Add a new data tip row for PDin
pdinRow = dataTipTextRow('PDin', 'ZData');
ffeLine.DataTipTemplate.DataTipRows(3) = pdinRow;
% Store pd_in_measured in the ZData property
mlseLine.ZData = pd_in_measured;
% Customize the data tips
% Set labels for existing data tip rows
mlseLine.DataTipTemplate.DataTipRows(1).Label = 'ROP';
mlseLine.DataTipTemplate.DataTipRows(2).Label = 'MLSE';
mlseLine.DataTipTemplate.DataTipRows(2).Format = '%.2e'; % Format BER as "3e-4"
% Add a new data tip row for PDin
pdinRow = dataTipTextRow('PDin', 'ZData');
mlseLine.DataTipTemplate.DataTipRows(3) = pdinRow;
% Continue with the rest of your plot settings
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('Interpreter', 'none');
end

433
projects/HighSpeedExperiment_2024/master_evaluation.m Normal file
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folderpath = 'C:\Users\sioe\Documents\High_Speed_Measurement_2024\8km_bitrate_rop_master\';
experiment_name = '';
currentTime = datetime('now', 'Format', 'yyyyMMdd_HHmmss');
timeStr = char(currentTime);
experiment_name = [experiment_name, timeStr];
if 1
%%% BITRATE Sweep for MPI Experiment %%%
awg_vpp = 2.7;
pd_in_set = 8;
random_key = 0;
params = struct;
params.M = [4,6,8];
params.lambda = flip([1293, 1302, 1310, 1318, 1327.4]); %calcWavelengthPlan(16, 400e9 , 1310);
params.bitrate = [300:30:480].*1e9;
params.duobinary = [0,1];
params.rop_atten = [0];
end
if 0
%%% ROP SWEEP
awg_vpp = 2.7;
pd_in_set = 6;
random_key = 0;
params = struct;
params.M = [8,6,4];
params.lambda = [1310]; %calcWavelengthPlan(16, 400e9 , 1310);
params.bitrate = [300:30:480].*1e9;
params.duobinary = [1,0];
params.rop_atten = [0:1.5:7.5];
end
wh = DataStorage(params);
wh.addStorage("ber_ffe");
wh.addStorage("ber_ffe_mlse");
wh.addStorage("ber_vnle");
wh.addStorage("ber_vnle_mlse");
wh.addStorage("ber_db");
wh.addStorage("FFE");
wh.addStorage("VNLE");
wh.addStorage("pd_in");
wh.addStorage("rop");
wh.addStorage("m");
wh.addStorage("dcs");
wh.addStorage("pdfa");
wh.addStorage("exfo");
wh.addStorage("voa");
precomp_path = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\precomp\";
precomp_fn = "lab_high_speed";
precomp_mode = 2; %0=do nothing ; 1= measure; 2=precomp active
looptotal = prod(wh.dim);
disp(['Start Measurement of ',num2str(looptotal),' loops...'])
iterationTimes = zeros(looptotal, 1); % Preallocate for speed
if ~exist('hWaitbar', 'var') || ~isvalid(hWaitbar)
hWaitbar = waitbar(0, sprintf('Starting %d measurements',looptotal), 'Name', 'Processing Progress');
else
waitbar(0, hWaitbar, sprintf('Starting %d measurements',looptotal));
end
loopcnt = 0;
estimatedTimeRemaining = 0;
estimatedTotalTime = 0;
for M = wh.parameter.M.values
dcs = DC_supply("active",[1,0],"voltage",[2.3, 0]);
if M == 4
v_bias_for_pam = 2.3;
dcs.set("voltage",[v_bias_for_pam, 0]);
pulsef = 1;
elseif M == 6
%pause(7*60); %wait 30 minutes for stable bias
v_bias_for_pam=2.3;
dcs.set("voltage",[v_bias_for_pam, 0]);
pulsef = 0;
elseif M == 8
v_bias_for_pam=2.6;
dcs.set("voltage",[v_bias_for_pam, 0]);
pause(7*60); %wait 30 minutes for stable bias
pulsef = 0;
end
for lambda = wh.parameter.lambda.values
exfo = Exfo_laser("serialport_number",'COM8','mainframe_channel',1,'safety_mode',0);
pdfa = Thor_PDFA("safety_mode",0);
exfo.getLaserInfo;
if ~(exfo.cur_wavelength == lambda)
% 1)
pdfa.disablePDFA;
% 2)
exfo.setWavelength(lambda);
% 3)
pdfa.enablePDFA();
% 4)
pdfa.setPumpLevel(100);
end
for bitrate = wh.parameter.bitrate.values
fsym = floor( bitrate*1e-9./log2(M) ).*1e9;
for db = wh.parameter.duobinary.values
if db == 1
ffe_only = 0;
postfilter_approach = 0;
db_channel_approach = 1;
db_coding_approach = 0;
db_precode = db_coding_approach || db_channel_approach;
if M == 4
pulsef=1;
precomp_amp_max = -50;
elseif M == 6
pulsef=0;
precomp_amp_max = -50;
elseif M == 8
pulsef=0;
precomp_amp_max = -50;
end
elseif db == 0
ffe_only = 0;
postfilter_approach = 1;
db_channel_approach = 0;
db_coding_approach = 0;
db_precode = db_coding_approach || db_channel_approach;
if M == 4
pulsef=1;
precomp_amp_max = -38;
elseif M == 6
pulsef=0;
precomp_amp_max = -34;
elseif M == 8
pulsef=0;
precomp_amp_max = -34;
end
end
%%%%% Construct AWG and Scope Modules %%%%%%
fdac = 256e9;
fadc = 256e9;
SCP = ScopeKeysight("model","UXR1104B",'autoscale',1,"fadc","GSa_256","channel",[0,1,0,0],"recordLen",4000000,"removeDC",1);
AWG = AwgKeysight("model","M8199B","fdac",fdac,"scaletodac",[1,1],"skews",[0,0],"voltages",[0,awg_vpp]);
A2S = Awg2Scope(AWG,SCP,[0,2,0,0],"waitUntilClick",0); %
%%%%% Symbol Generation %%%%%%
rcalpha = 0.05;
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rcalpha);
Pamsource = PAMsource(...
"fsym",fsym,"M",M,"order",19,"useprbs",1,...
"fs_out",fdac,...
"applyclipping",0,"clipfactor",1.5,...
"applypulseform",pulsef,"pulseformer",Pform,...
"randkey",random_key,...
"db_precode",db_precode,"db_encode",db_coding_approach,...
"mrds_code",0,"mrds_blocklength",512);
[Digi_sig,Symbols,Bits] = Pamsource.process();
%%%%% Precompensation Routine %%%%%%
if precomp_mode == 1 % measure channel
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',fdac);
Digi_sig = precomp_est.buildOFDM();
elseif precomp_mode == 2 % apply precomp
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',precomp_amp_max,'loadPath',precomp_path,'fileName',precomp_fn);
end
%%%%% Resample to DAC rate %%%%%%
Digi_sig = Digi_sig.resample("fs_out",AWG.fdac);
% Digi_sig.spectrum("displayname","TX After precomp","fignum",30,"normalizeToNyquist",0,"normalizeTo0dB",1);
for rop_atten = wh.parameter.rop_atten.values
%%%%% Loop Preps
iterationStartTime = tic;
loopcnt = loopcnt+1;
loop_name = ['_PAM_',num2str(M),'_L_',num2str(lambda),'_R_',num2str(bitrate),'_DB_',num2str(db),'_ROP_',num2str(rop_atten)];
loop_name = strrep(loop_name,'.','_');
%%%%% READ Voltages %%%%%%
dcs.readVals();
%%%%% SET Attenuator %%%%%%
voa = OptAtten("active",[1,2,1,1],"value",[rop_atten,pd_in_set,0,0],"wavelength",[1310,1310,1310,1310],"speed",[1000,100,1000,1000]);
voa.set('active',[1,2,1,1],'value',[rop_atten,pd_in_set,0,0]);
voa.readvals();
%%%% SIGNAL USUALLY HERE, NOW ABOVE ROP_ATTEN %%%
%%%%% Plot and Save Routine 1 - same for all rops, thus save only once %%%%%%%%%%%%%%%%%%%%%%%%%
if rop_atten == 0
save([folderpath,experiment_name,loop_name,'_bits'],"Bits");
save([folderpath,experiment_name,loop_name,'_symbols'],"Symbols");
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%% AWG --> Scope %%%%%%
[~,Scpe_sig_raw,~,D] = A2S.process("signal2",Digi_sig,"waitUntilClick",0);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Scpe_sig_raw = Filter('filtdegree',5,"f_cutoff",0.55.*fsym,"fs",fadc,"filterType",filtertypes.gaussian,"active",true).process(Scpe_sig_raw);
%
% Scpe_sig_raw.plot("displayname","Scope raw signal","fignum",20,"clear",1);
% Scpe_sig_raw.spectrum("displayname","Scope PSD","fignum",30,"normalizeTo0dB",1);
% Scpe_sig_raw.eye(fsym,M,"displayname",'eye','fignum',200);
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig_resampled = Scpe_sig_raw.resample("fs_in",fadc,"fs_out",2*fsym);
%%%%% Precompensation Routine %%%%%%
if precomp_mode == 1
precomp_est.estimate(Scpe_sig_resampled,"save",true,"savePath",precomp_path,"fileName",precomp_fn);
precomp_est.plot();
end
voa.readvals();
rop = voa.power_state(1);
pd_in = voa.power_state(2);
%%%%%% Sync Rx signal with reference (S is a cell array with all occurences) %%%%%%
[Scpe_sig_syncd,S,isFlipped] = Scpe_sig_resampled.tsynch("reference",Symbols,"fs_ref",fsym);
%%%%% Plot and Save Routines: SAVE RECEIVED SIGNALS %%%%%%%%%%%%%%%%%%%%%%%%%
save([folderpath,experiment_name,loop_name,'_rx_signal'],"S");
save([folderpath,experiment_name,loop_name,'_raw_signal'],"Scpe_sig_raw");
%%%%% EQUALIZE %%%%%%
% set to minus one not zero not avoid confusion if BER is acutally zero
ber_vnle = [-1];
ber_vnle_mlse = [-1];
ber_ffe_mlse =[-1];
ber_ffe = [-1];
ber_db = [-1];
ffe = EQ("Ne",[50,0,0],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
vnle = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
if postfilter_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
eq_values = min(numel(S),8);
Noi = cell(eq_values,1);
EQ_vnle= cell(eq_values,1);
EQ_ffe= cell(eq_values,1);
if 0
parfor s = 1:eq_values
if 0
%FFE LINEAR
Scpe_sig_syncd = S{s};
[EQ_ffe{s}] = ffe.process(Scpe_sig_syncd,Symbols);
Noi{s} = EQ_ffe{s}-Symbols;
Rx_bits = PAMmapper(M,0).demap(EQ_ffe{s});
[~,~,ber_ffe(s),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
if 0
%FFE + MLSE
nc = 2;
burg_coeff = arburg(Noi{s}.signal,nc);
EQ_ffe{s} = EQ_ffe{s}.filter(burg_coeff,1);
EQ_mlse = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_ffe{s});
Rx_bits = PAMmapper(M,0).demap(EQ_mlse);
[~,~,ber_ffe_mlse(s),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
if 1
%VNLE
Scpe_sig_syncd = S{s};
[EQ_vnle{s}] = vnle.process(Scpe_sig_syncd,Symbols);
Noi{s} = EQ_vnle{s}-Symbols;
Rx_bits = PAMmapper(M,0).demap(EQ_vnle{s});
[~,~,ber_vnle(s),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
%VNLE + MLSE
if 1
nc = 2;
burg_coeff = arburg(Noi{s}.signal,nc);
EQ_mlse = EQ_vnle{s}.filter(burg_coeff,1);
EQ_mlse = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_mlse);
Rx_bits = PAMmapper(M,0).demap(EQ_mlse);
[~,~,ber_vnle_mlse(s),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
end
disp(['FFE EQ: BEST BER: ',sprintf('%.1E',min(ber_ffe)),' AVG BER: ',sprintf('%.1E',mean(ber_ffe)),' WORST:',sprintf('%.1E',max(ber_ffe)),'. Out of ',num2str(numel(ber_ffe))]);
disp(['FFE + MLSE EQ: BEST BER: ',sprintf('%.1E',min(ber_ffe_mlse)),' AVG BER: ',sprintf('%.1E',mean(ber_ffe_mlse)),' WORST:',sprintf('%.1E',max(ber_ffe_mlse)),'. Out of ',num2str(numel(ber_ffe_mlse))]);
disp(['VNLE EQ: BEST BER: ',sprintf('%.1E',min(ber_vnle)),' AVG BER: ',sprintf('%.1E',mean(ber_vnle)),' WORST:',sprintf('%.1E',max(ber_vnle)),'. Out of ',num2str(numel(ber_vnle))]);
disp(['VNLE+MLSE EQ: BEST BER: ',sprintf('%.1E',min(ber_vnle_mlse)),' AVG BER: ',sprintf('%.1E',mean(ber_vnle_mlse)),' WORST:',sprintf('%.1E',max(ber_vnle_mlse)),'. Out of ',num2str(numel(ber_ffe))]);
[~,i] = min(ber_vnle);
figure(56);
clf
title(sprintf('PAM %d ; BER: %1.2e',M, ber_vnle(i)));
constellation = unique(Symbols.signal);
received = NaN(numel(constellation),length(Symbols));
for lvl = 1:numel(constellation)
%Separate the equalized signal into the
%respective levels based on the actually
%transmitted level!
received(lvl,Symbols.signal==constellation(lvl)) = EQ_vnle{i}.signal(Symbols.signal==constellation(lvl));
intermediate = received(lvl,:);
cnt(lvl) = numel(intermediate(~isnan(intermediate)));
hold on
histogram(received(lvl,:),1000,"EdgeAlpha",0,'DisplayName',['Lvl ',num2str(lvl),' | ',num2str(cnt(lvl)),' entries']);
end
legend
end
elseif db_channel_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
ffe = EQ("Ne",[50,0,0],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
if 0
parfor s = 1:numel(S)
Scpe_sig_syncd = S{s};
[EQ_sig, Noi] = ffe.process(Scpe_sig_syncd,Duobinary().encode(Symbols));
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,num_errors,ber_db(s),pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
disp(['DB EQ: BEST BER: ',sprintf('%.1E',min(ber_db)),' AVG BER: ',sprintf('%.1E',mean(ber_db)),' WORST:',sprintf('%.1E',max(ber_db)),'. Out of',num2str(numel(ber_db))]);
else
disp('Disabled MLSE for DB in all cases, due to time in measurement loop')
end
elseif db_coding_approach
parfor s = 1:numel(S)
S{s}=S{s}.normalize("mode","rms");
ffe = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
[EQ_sig, Noi] = ffe.process(S{s},Symbols);
EQ_sig.plot("displayname",'After EQ','fignum',112);
EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
EQ_sig = Duobinary().decode(EQ_sig);
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
[~,num_errors,ber_db(s),pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
disp(['DB EQ: BEST BER: ',sprintf('%.1E',min(ber_db)),' AVG BER: ',sprintf('%.1E',mean(ber_db)),' WORST:',sprintf('%.1E',max(ber_db)),'. Out of',num2str(numel(ber_db))]);
end
%%%%% Store measurement into measurement "warehouse" %%%%%%
wh.addValueToStorage({ber_ffe},'ber_ffe',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage({ber_ffe_mlse},'ber_ffe_mlse',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage({ber_vnle},'ber_vnle',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage({ber_vnle_mlse},'ber_vnle_mlse',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage({ber_db},'ber_db',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage(rop,'rop',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage(pd_in,'pd_in',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage(M,'m',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage(dcs,'dcs',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage(pdfa,'pdfa',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage(exfo,'exfo',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage(voa,'voa',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage(ffe,'FFE',M,lambda,bitrate,db,rop_atten);
wh.addValueToStorage(vnle,'VNLE',M,lambda,bitrate,db,rop_atten);
iterationTimes(loopcnt) = toc(iterationStartTime);
averageTimePerIteration = mean(iterationTimes(1:loopcnt));
estimatedTotalTime = averageTimePerIteration * looptotal;
estimatedTimeRemaining = estimatedTotalTime - sum(iterationTimes(1:loopcnt));
progressFraction = loopcnt / looptotal;
waitbar(progressFraction, hWaitbar, ...
sprintf('Loop: %d of %d \n Runtime: %.1f min | %.1f sec per Loop |Time to go: %.1f min ', ...
loopcnt, looptotal, sum(iterationTimes(1:loopcnt))/60, averageTimePerIteration, estimatedTimeRemaining/60 ));
wh.save([folderpath,experiment_name,'_wh']);
end
end
end
end
end
close(hWaitbar);
wh.save([folderpath,experiment_name,'_wh']);

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folderpath = 'C:\Users\sioe\Documents\High_Speed_Measurement_2024\mpi_measurement\';
experiment_name = 'testen';
currentTime = datetime('now', 'Format', 'yyyyMMdd_HHmmss');
timeStr = char(currentTime);
experiment_name = [experiment_name, timeStr];
%%% BITRATE Sweep for MPI Experiment %%%
awg_vpp = 2.7;
rop_atten = 0; %VOA 1 -> %nicht angeschlossen
pd_in_set = 8; %VOA 2 -> PD in
%VOA 3 -> Signal path
%VOA 4 -> Interference path
random_key = 0;
params = struct;
params.M = [8];
params.bitrate = [336].*1e9;%[90:60:480].*1e9;%[300:30:480].*1e9;
params.duobinary = [0];
params.interference_atten = [45];
wh = DataStorage(params);
wh.addStorage("ber_ffe");
wh.addStorage("ber_ffe_mlse");
wh.addStorage("ber_vnle");
wh.addStorage("ber_vnle_mlse");
wh.addStorage("ber_db");
wh.addStorage("FFE");
wh.addStorage("VNLE");
wh.addStorage("pd_in");
wh.addStorage("rop");
wh.addStorage("s_power");
wh.addStorage("i_power");
wh.addStorage("sir");
wh.addStorage("m");
wh.addStorage("dcs");
wh.addStorage("pdfa");
wh.addStorage("exfo");
wh.addStorage("voa");
precomp_path = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\precomp\";
precomp_fn = "lab_high_speed";
precomp_mode = 2; %0=do nothing ; 1= measure; 2=precomp active
looptotal = prod(wh.dim);
disp(['Start Measurement of ',num2str(looptotal),' loops...'])
iterationTimes = zeros(looptotal, 1); % Preallocate for speed
if ~exist('hWaitbar', 'var') || ~isvalid(hWaitbar)
hWaitbar = waitbar(0, sprintf('Starting %d measurements',looptotal), 'Name', 'Processing Progress');
else
waitbar(0, hWaitbar, sprintf('Starting %d measurements',looptotal));
end
loopcnt = 0;
estimatedTimeRemaining = 0;
estimatedTotalTime = 0;
for M = wh.parameter.M.values
dcs = DC_supply("active",[1,0],"voltage",[2.3, 0]);
if M == 4
v_bias_for_pam = 2.3;
dcs.set("voltage",[v_bias_for_pam, 0]);
pulsef = 1;
elseif M == 6
%pause(7*60); %wait 30 minutes for stable bias
v_bias_for_pam=2.3;
dcs.set("voltage",[v_bias_for_pam, 0]);
pulsef = 0;
elseif M == 8
v_bias_for_pam=2.6;
dcs.set("voltage",[v_bias_for_pam, 0]);
disp('waiting...');
%pause(5*60); %wait 5 minutes for stable bias
pulsef = 0;
end
for bitrate = wh.parameter.bitrate.values
fsym = floor( bitrate*1e-9./log2(M) ).*1e9;
for db = wh.parameter.duobinary.values
if db == 1
ffe_only = 0;
postfilter_approach = 0;
db_channel_approach = 1;
db_coding_approach = 0;
db_precode = db_coding_approach || db_channel_approach;
if M == 4
pulsef=1;
precomp_amp_max = -50;
elseif M == 6
pulsef=0;
precomp_amp_max = -50;
elseif M == 8
pulsef=0;
precomp_amp_max = -50;
end
elseif db == 0
ffe_only = 0;
postfilter_approach = 1;
db_channel_approach = 0;
db_coding_approach = 0;
db_precode = db_coding_approach || db_channel_approach;
if M == 4
pulsef=1;
precomp_amp_max = -38;
elseif M == 6
pulsef=0;
precomp_amp_max = -34;
elseif M == 8
pulsef=0;
precomp_amp_max = -34;
end
end
%%%%% Construct AWG and Scope Modules %%%%%%
fdac = 256e9;
fadc = 256e9;
%%%%% Symbol Generation %%%%%%
rcalpha = 0.05;
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rcalpha);
Pamsource = PAMsource(...
"fsym",fsym,"M",M,"order",19,"useprbs",1,...
"fs_out",fdac,...
"applyclipping",0,"clipfactor",1.5,...
"applypulseform",pulsef,"pulseformer",Pform,...
"randkey",random_key,...
"db_precode",db_precode,"db_encode",db_coding_approach,...
"mrds_code",0,"mrds_blocklength",512);
[Digi_sig,Symbols,Bits] = Pamsource.process();
%%%%% Precompensation Routine %%%%%%
if precomp_mode == 1 % measure channel
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',fdac);
Digi_sig = precomp_est.buildOFDM();
elseif precomp_mode == 2 % apply precomp
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',precomp_amp_max,'loadPath',precomp_path,'fileName',precomp_fn);
end
%%%%% Resample to DAC rate %%%%%%
Digi_sig = Digi_sig.resample("fs_out",AWG.fdac);
% Digi_sig = Filter('filtdegree',5,"f_cutoff",0.75*fsym,"fs",fadc,"filterType",filtertypes.gaussian,"active",true).process(Digi_sig);
% Digi_sig.spectrum("displayname","TX After precomp","fignum",10,"normalizeToNyquist",0,"normalizeTo0dB",0);
holdAndShowValue;
scopeAutoScale = 1;
for interference_atten = wh.parameter.interference_atten.values
SCP = ScopeKeysight("model","UXR1104B",'autoscale',scopeAutoScale,"fadc","GSa_256","channel",[0,1,0,0],"recordLen",10000000,"removeDC",1);
AWG = AwgKeysight("model","M8199B","fdac",fdac,"scaletodac",[1,1],"skews",[0,0],"voltages",[0,awg_vpp]);
A2S = Awg2Scope(AWG,SCP,[0,2,0,0],"waitUntilClick",1); %
scopeAutoScale = 0; %until is set to 1 in next db change and then bitrate
%%%%% Loop Preps
iterationStartTime = tic;
loopcnt = loopcnt+1;
loop_name = ['_PAM_',num2str(M),'_R_',num2str(bitrate),'_DB_',num2str(db),'_I_atten_',num2str(interference_atten)];
loop_name = strrep(loop_name,'.','_');
%%%%% READ Voltages %%%%%%
dcs.readVals();
%%%%% SET Attenuator %%%%%%
voa = OptAtten("active",[1,2,1,1],"value",[rop_atten,pd_in_set,0,interference_atten],"wavelength",[1310,1310,1310,1310],"speed",[1000,100,1000,1000]);
voa.set('active',[1,2,1,1],'value',[rop_atten,pd_in_set,0,interference_atten]);
%%%% SIGNAL USUALLY HERE, NOW ABOVE ROP_ATTEN %%%
%%%%% Plot and Save Routine 1 - same for all rops, thus save only once %%%%%%%%%%%%%%%%%%%%%%%%%
if interference_atten == 0
save([folderpath,experiment_name,loop_name,'_bits'],"Bits");
save([folderpath,experiment_name,loop_name,'_symbols'],"Symbols");
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%% AWG --> Scope %%%%%%
[~,Scpe_sig_raw,~,D] = A2S.process("signal2",Digi_sig,"waitUntilClick",0);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Scpe_sig_raw.spectrum("displayname","Scope PSD before filter","fignum",30,"normalizeTo0dB",1);
Scpe_sig_raw = Filter('filtdegree',5,"f_cutoff",0.65.*fsym,"fs",fadc,"filterType",filtertypes.gaussian,"active",true).process(Scpe_sig_raw);
% Scpe_sig_raw.spectrum("displayname","Scope PSD after filter","fignum",30,"normalizeTo0dB",1);
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig_resampled = Scpe_sig_raw.resample("fs_in",fadc,"fs_out",2*fsym);
voa.readvals();
rop = voa.power_state(1);
pd_in = voa.power_state(2);
i_power = voa.power_state(4);
s_power = voa.power_state(3);
sir = s_power-i_power;
Scpe_sig_raw.plot("displayname",['SIR: ',sprintf('%.2f',sir),' dB'],"fignum",20,"clear",1);
disp(['PDin: ',sprintf('%.2f',pd_in),' dB | S: ',sprintf('%.2f',s_power),' dB | I: ',sprintf('%.2f',i_power),' dB | -> SIR: ',sprintf('%.2f',sir),' dB']);
%%%%%% Sync Rx signal with reference (S is a cell array with all occurences) %%%%%%
[Scpe_sig_syncd,S,isFlipped] = Scpe_sig_resampled.tsynch("reference",Symbols,"fs_ref",fsym);
%%%%% Plot and Save Routines: SAVE RECEIVED SIGNALS %%%%%%%%%%%%%%%%%%%%%%%%%
save([folderpath,experiment_name,loop_name,'_rx_signal'],"S");
save([folderpath,experiment_name,loop_name,'_raw_signal'],"Scpe_sig_raw");
%%%%% EQUALIZE %%%%%%
% set to minus one not zero not avoid confusion if BER is acutally zero
ber_vnle = [-1];
ber_vnle_mlse = [-1];
ber_ffe_mlse =[-1];
ber_ffe = [-1];
ber_db = [-1];
ffe = EQ("Ne",[50,0,0],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
vnle = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
if postfilter_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
if 1
eq_values = min(numel(S),8);
Noi = cell(eq_values,1);
EQ_vnle= cell(eq_values,1);
EQ_ffe= cell(eq_values,1);
parfor s = 1:eq_values
if 0
%FFE LINEAR
Scpe_sig_syncd = S{s};
[EQ_ffe{s}] = ffe.process(Scpe_sig_syncd,Symbols);
Noi{s} = EQ_ffe{s}-Symbols;
Rx_bits = PAMmapper(M,0).demap(EQ_ffe{s});
[~,~,ber_ffe(s),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
if 0
%FFE + MLSE
nc = 2;
burg_coeff = arburg(Noi{s}.signal,nc);
EQ_ffe{s} = EQ_ffe{s}.filter(burg_coeff,1);
EQ_mlse = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_ffe{s});
Rx_bits = PAMmapper(M,0).demap(EQ_mlse);
[~,~,ber_ffe_mlse(s),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
if 1
%VNLE
Scpe_sig_syncd = S{s};
[EQ_vnle{s}] = vnle.process(Scpe_sig_syncd,Symbols);
Noi{s} = EQ_vnle{s}-Symbols;
Rx_bits = PAMmapper(M,0).demap(EQ_vnle{s});
[~,~,ber_vnle(s),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
%VNLE + MLSE
if 1
nc = 2;
burg_coeff = arburg(Noi{s}.signal,nc);
EQ_mlse = EQ_vnle{s}.filter(burg_coeff,1);
EQ_mlse = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_mlse);
Rx_bits = PAMmapper(M,0).demap(EQ_mlse);
[~,~,ber_vnle_mlse(s),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
end
if 0
nc=1;
Noi{1}.spectrum('displayname',['Noise; SIR:',sprintf('%.2f',sir)],'fignum',40,'normalizeTo0dB',1);
burg_coeff = arburg(Noi{1}.signal,nc);
[h,w] = freqz(1,burg_coeff,length(Noi{1}),"whole",Noi{1}.fs);
h = h/max(abs(h));
hold on
w_ = (w - Noi{1}.fs/2);
plot(w_.*1e-9,20*log10(fftshift(h)),'DisplayName',[num2str(nc), ' burg; SIR:',sprintf('%.2f',sir)]);
drawnow;
end
end
% disp(['FFE EQ: BEST BER: ',sprintf('%.1E',min(ber_ffe)),' AVG BER: ',sprintf('%.1E',mean(ber_ffe)),' WORST:',sprintf('%.1E',max(ber_ffe)),'. Out of ',num2str(numel(ber_ffe))]);
% disp(['FFE + MLSE EQ: BEST BER: ',sprintf('%.1E',min(ber_ffe_mlse)),' AVG BER: ',sprintf('%.1E',mean(ber_ffe_mlse)),' WORST:',sprintf('%.1E',max(ber_ffe_mlse)),'. Out of ',num2str(numel(ber_ffe_mlse))]);
disp(['VNLE EQ: BEST BER: ',sprintf('%.1E',min(ber_vnle)),' AVG BER: ',sprintf('%.1E',mean(ber_vnle)),' WORST:',sprintf('%.1E',max(ber_vnle)),'. Out of ',num2str(numel(ber_vnle))]);
% disp(['VNLE+MLSE EQ: BEST BER: ',sprintf('%.1E',min(ber_vnle_mlse)),' AVG BER: ',sprintf('%.1E',mean(ber_vnle_mlse)),' WORST:',sprintf('%.1E',max(ber_vnle_mlse)),'. Out of ',num2str(numel(ber_vnle_mlse))]);
elseif db_channel_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
ffe = EQ("Ne",[50,0,0],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
ffe = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
if 0
eq_values = min(numel(S),8);
Noi = cell(eq_values,1);
EQ_sig = cell(eq_values,1);
parfor s = 1:eq_values
Scpe_sig_syncd = S{s};
[EQ_sig{s}, Noi{s}] = ffe.process(Scpe_sig_syncd,Duobinary().encode(Symbols));
EQ_sig{s}.signal = EQ_sig{s}.signal-mean(EQ_sig{s}.signal);
EQ_sig_mlse = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig{s});
EQ_sig_mlse = Duobinary().decode(EQ_sig_mlse);
Rx_bits = PAMmapper(M,0).demap(EQ_sig_mlse);
[~,num_errors,ber_db(s),pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end
if 0
Noi{1}.spectrum('displayname',['Noise; SIR:',sprintf('%.2f',sir)],'fignum',40,'normalizeTo0dB',1);
Duobinary().encode(Symbols).spectrum('displayname',['DB coded symbols; SIR:',sprintf('%.2f',sir)],'fignum',40,'normalizeTo0dB',1);
EQ_sig{1}.spectrum('displayname',['EQ; SIR:',sprintf('%.2f',sir)],'fignum',40,'normalizeTo0dB',1);
EQ_sig{1}.signal = EQ_sig{1}.signal-mean(EQ_sig{1}.signal);
end
disp(['DB EQ: BEST BER: ',sprintf('%.1E',min(ber_db)),' AVG BER: ',sprintf('%.1E',mean(ber_db)),' WORST:',sprintf('%.1E',max(ber_db)),'. Out of',num2str(numel(ber_db))]);
else
disp('Disabled MLSE for DB in all cases, due to time in measurement loop')
end
end
%%%%% Store measurement into measurement "warehouse" %%%%%%
wh.addValueToStorage({ber_ffe},'ber_ffe',M,bitrate,db,interference_atten);
wh.addValueToStorage({ber_ffe_mlse},'ber_ffe_mlse',M,bitrate,db,interference_atten);
wh.addValueToStorage({ber_vnle},'ber_vnle',M,bitrate,db,interference_atten);
wh.addValueToStorage({ber_vnle_mlse},'ber_vnle_mlse',M,bitrate,db,interference_atten);
wh.addValueToStorage({ber_db},'ber_db',M,bitrate,db,interference_atten);
wh.addValueToStorage(rop,'rop',M,bitrate,db,interference_atten);
wh.addValueToStorage(pd_in,'pd_in',M,bitrate,db,interference_atten);
wh.addValueToStorage(s_power,'s_power',M,bitrate,db,interference_atten);
wh.addValueToStorage(i_power,'i_power',M,bitrate,db,interference_atten);
wh.addValueToStorage(sir,'sir',M,bitrate,db,interference_atten);
wh.addValueToStorage(M,'m',M,bitrate,db,interference_atten);
wh.addValueToStorage(dcs,'dcs',M,bitrate,db,interference_atten);
exfo = Exfo_laser("serialport_number",'COM8','mainframe_channel',1,'safety_mode',0);
exfo.getLaserInfo;
wh.addValueToStorage(exfo,'exfo',M,bitrate,db,interference_atten);
wh.addValueToStorage(voa,'voa',M,bitrate,db,interference_atten);
wh.addValueToStorage(ffe,'FFE',M,bitrate,db,interference_atten);
wh.addValueToStorage(vnle,'VNLE',M,bitrate,db,interference_atten);
iterationTimes(loopcnt) = toc(iterationStartTime);
averageTimePerIteration = mean(iterationTimes(1:loopcnt));
estimatedTotalTime = averageTimePerIteration * looptotal;
estimatedTimeRemaining = estimatedTotalTime - sum(iterationTimes(1:loopcnt));
progressFraction = loopcnt / looptotal;
waitbar(progressFraction, hWaitbar, ...
sprintf('Loop: %d of %d \n Runtime: %.1f min | %.1f sec per Loop |Time to go: %.1f min ', ...
loopcnt, looptotal, sum(iterationTimes(1:loopcnt))/60, averageTimePerIteration, estimatedTimeRemaining/60 ));
wh.save([folderpath,experiment_name,'_wh']);
showCurrentMeasurement('SIR', sir, 'I Att', interference_atten,'BER V', min(ber_vnle),'BER M',min(ber_vnle_mlse),'BER DB',min(ber_db),'Fsym',fsym.*1e-9, 'ROP', rop, 'PAM',M);
end
end
end
end
close(hWaitbar);
wh.save([folderpath,experiment_name,'_wh']);
disp('Measurement complete')

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projects/standard_system/400G_simulative_setup_meas.mat Normal file
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