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Commit before first big baudrate sweep

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This commit is contained in:
Silas Labor Zizou
2024-10-24 19:41:59 +02:00
parent cfd1bdb513
commit bafc7f12b7
11 changed files with 588 additions and 318 deletions
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70
projects/400G_FTN_setups/imdd_mpi_dsp.m
View File

@@ -2,31 +2,31 @@
%% Parameter to simulate and save
params = struct;
params.M = [4];
params.datarate = [448];
params.rop = [0];
params.M = [6];
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
precomp_mode = 1; %0=do nothing ; 1= measure; 2=precomp active
postfilter = 1; % noise whiten. approach -> Postfilter + MLSE
db_precode = 1;
db_precode = 0;
db_encode = 0;
db_channelapproach = 1;
db_channelapproach = 0;
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;
@@ -78,9 +78,9 @@ for M = wh.parameter.M.values
% 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();
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);
@@ -117,7 +117,7 @@ for M = wh.parameter.M.values
% MAIN SIGNAL
%%%%% MODULATE E/O CONVERSION %%%%%%
vbias_rel = 0.5;
vbias_rel = 0.7;
u_pi = 2.9;
vbias = -vbias_rel*u_pi;
@@ -180,10 +180,12 @@ for M = wh.parameter.M.values
"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);
@@ -193,6 +195,8 @@ for M = wh.parameter.M.values
%%%%%% 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);
@@ -237,8 +241,34 @@ 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,:));
@@ -256,7 +286,7 @@ for M = wh.parameter.M.values
% EQ_sig.spectrum("displayname","Signal Spectrum after MLSE","fignum",1234);
if 1
cols = linspecer(12);

536
projects/HighSpeedExperiment_2024/bias_optimization.m
View File

@@ -1,6 +1,9 @@
folderpath = 'C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_testing\';
experiment_name = 'PAM4_b2b_';
experiment_name = 'PAM6_b2b_rop_referenz_Thormax';
currentTime = datetime('now', 'Format', 'yyyyMMdd_HHmmss');
timeStr = char(currentTime);
experiment_name = [experiment_name, timeStr];
ffe_only = 0;
postfilter_approach = 1;
@@ -12,12 +15,17 @@ db_precode = db_coding_approach || db_channel_approach;
%%% SIR Sweep for MPI Experiment %%%
params = struct;
params.vbias = [3];
params.vbias = [2.67]; % PAM6=2.3V %PAM8=2.68V
params.awg_vpp = [2.7];
params.precomp_amp_max = [5];
params.rop_atten = [0];
params.M = [8];
wh = DataStorage(params);
wh.addStorage("ber");
wh.addStorage("ber_ffe");
wh.addStorage("ber_mlse");
wh.addStorage("ber_db");
wh.addStorage("pd_in");
wh.addStorage("rop");
wh.addStorage("m");
@@ -26,233 +34,343 @@ wh.addStorage("signals");
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;
random_key = 2;
pd_in_set = 7;
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;
looptotal = prod(wh.dim);
disp(['Start Measurement of ',num2str(looptotal),' loops...'])
iterationTimes = zeros(looptatal, 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 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;
loopcnt = loopcnt+1;
progressFraction = loopcnt / looptatal;
waitbar(progressFraction, hWaitbar, ...
sprintf('Progress: %d/%d', loopcnt, looptatal));
if M == 4
fsym = 170e9;
elseif M == 6
fsym = 144e9;
elseif M == 8
fsym = 160e9;
end
loop_name = ['_fsym_',num2str(fsym)];
%%%%% 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]);
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",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],"waitUntilClick",0); %
%%%%% Symbol Generation %%%%%%
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rrcalpha);
[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",usemrds,"mrds_blocklength",512).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);
%%%%% Plot and Save Routine 1 %%%%%%%%%%%%%%%%%%%%%%%%%
%Digi_sig.spectrum("displayname","Normal Tx","fignum",10);
save([folderpath,[experiment_name,'_bits'],loop_name],"Bits");
save([folderpath,[experiment_name,'_symbols'],loop_name],"Symbols");
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%% AWG --> Scope %%%%%%
[~,Scpe_sig_raw,~,D] = A2S.process("signal2",Digi_sig,"waitUntilClick",0);
% Scpe_sig_raw.spectrum("displayname","Scope PSD","fignum",20);
% Scpe_sig_raw.plot("displayname","Scope raw signal","fignum",25,"clear",1);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%% 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);
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);
%%%%%% SNR CHEAT - Avges the measured signal occurences found after correlation in "tsynch" %%%%%%
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_syncd.signal = scope_mean;
end
%%%%% Plot and Save Routines: SAVE RECEIVED SIGNALS %%%%%%%%%%%%%%%%%%%%%%%%%
save([folderpath,experiment_name,'_rx_signal',loop_name],"S");
Scpe_sig_syncd.eye(fsym,M,"fignum",40,"displayname",' after Scope');
%%%%% 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']);
%%%%% SET Voltages %%%%%%
dcs = DC_supply("active",[1,0],"voltage",[v_bias, 0]);
dcs.set("voltage",[v_bias, 0]);
if 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]);
% voa.readvals();
EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
%%%%% 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]);
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);
%%%%% Symbol Generation %%%%%%
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rrcalpha);
[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);
%%%%% Plot and Save Routine 1 %%%%%%%%%%%%%%%%%%%%%%%%%
% Digi_sig.spectrum("displayname","Normal Tx","fignum",10);
% 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);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig = Scpe_sig.resample("fs_in",fadc,"fs_out",2*fsym);
%%%%% Precompensation Routine %%%%%%
if precomp_mode == 1
precomp_est.estimate(Scpe_sig,"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);
disp(['ROP: ',num2str(rop),' dBm || PD in: ',num2str(pd_in), ' dBm']);
%%%%%% Sync Rx signal with reference %%%%%%
[Scpe_sig,S] = Scpe_sig.tsynch("reference",Symbols,"fs_ref",fsym);
%%%%%% 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
%%%%% Plot and Save Routine 2 %%%%%%%%%%%%%%%%%%%%%%%%%
save([folderpath,experiment_name,'rx_signal',loop_name],"S");
Scpe_sig.eye(fsym,M,"fignum",40,"displayname",' after Scope');
voa.readvals();
rop = voa.power_state(1);
pd_in = voa.power_state(2);
%%%%% 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 ffe_only %%%%%%%%%%%%%%%%%%%%%%%%%%%
[EQ_sig] = Eq.process(Scpe_sig,Symbols);
EQ_sig.plot("fignum",50,"displayname",'After EQ');
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),'| ROP: ',num2str(rop),' dB | PD_in: ',num2str(pd_in),' dBm']);
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);
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 %%%%%%%%%%%%%%%%%%%%%%%%%%%
[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']);
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',v_bias,awg_vpp,precomp_amp_max,rop_atten,M);
wh.addValueToStorage(ber_mlse,'ber_mlse',v_bias,awg_vpp,precomp_amp_max,rop_atten,M);
wh.addValueToStorage(ber_db,'ber_db',v_bias,awg_vpp,precomp_amp_max,rop_atten,M);
wh.addValueToStorage(rop,'rop',v_bias,awg_vpp,precomp_amp_max,rop_atten,M);
wh.addValueToStorage(pd_in,'pd_in',v_bias,awg_vpp,precomp_amp_max,rop_atten,M);
% wh.addValueToStorage(Rx_bits,'signals',v_bias,awg_vpp,precomp_amp_max,rop_atten);
wh.addValueToStorage(M,'m',v_bias,awg_vpp,precomp_amp_max,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 * looptatal;
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
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)
%%% 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

31
projects/Lab_2024/bias_sweep_evaluation.m
View File

@@ -1,6 +1,8 @@
filename = "C:\Users\Silas\Nextcloud4\Dokumente\02_Ablage_Office\Lab_Data_24\bias_sweep\PAM4_10km_ffe__wh.mat";
filename = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_testing\PAM4_b2b_bias_sweep_20241023_130342_wh.mat";
a = load(filename);
wh2 = a.obj;
@@ -9,13 +11,19 @@ m = wh2.getStoValue('m',wh2.parameter.vbias.values(1),wh2.parameter.awg_vpp.valu
v_bias_vals = wh2.parameter.vbias.values;
awg_vpp_vals = wh2.parameter.awg_vpp.values;
bers = [];
ber_ffe= [];
ber_mlse= [];
rop_measured= [];
pd_in_measured= [];
rop_measured = [];
cnt = 0;
for awg_vpp_cur = awg_vpp_vals
cnt = cnt+1;
bers(cnt,:) = wh2.getStoValue('ber',v_bias_vals,awg_vpp_cur);
ber_ffe(cnt,:) = wh2.getStoValue('ber_ffe',v_bias_vals,awg_vpp_cur)';
ber_mlse(cnt,:) = wh2.getStoValue('ber_mlse',v_bias_vals,awg_vpp_cur);
rop_measured(cnt,:) = wh2.getStoValue('rop',v_bias_vals,awg_vpp_cur);
pd_in_measured(cnt,:) = wh2.getStoValue('pd_in',v_bias_vals,awg_vpp_cur);
end
[bestber,bestindex] = min(bers,[],'all');
@@ -25,6 +33,23 @@ bestvbias=v_bias_vals(v_bias_pos);
disp(['Best Vpp: ',num2str(bestvbias),' V; Best Vpp AWG: ',num2str(bestawgvpp),' V' ])
figure(100)
hold on
plot(v_bias_vals,ber_ffe,'DisplayName',['FFE only']);
plot(v_bias_vals,ber_mlse,'DisplayName',['MLSE']);
yline(3.8e-3, 'DisplayName', 'HD-FEC', 'LineStyle', '--', 'HandleVisibility', 'off');
xlabel('V bias');
ylabel('Bit Error Rate (BER)');
title('Bit Error Rate vs. V bias');
set(gca, 'yscale', 'log');
set(gca, 'Box', 'on');
grid on;
grid minor;
legend('Interpreter', 'none');
figure();
sgtitle(['PAM ', num2str(m)])
subplot1 = subplot(1,2,1);