silas/imdd_silas
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Lab push

Browse Source 
ChannelFreqResp optimized and compared to move-it

minimal lab setup
This commit is contained in:
Silas Labor Zizou
2024-10-07 08:19:56 +02:00
parent 8577f5f6f4
commit 135d0e7cfc
16 changed files with 369 additions and 146 deletions
Download Patch File Download Diff File Expand all files Collapse all files

146
projects/Lab_2024/lab_minimal.m Normal file
View File

@@ -0,0 +1,146 @@
%%% SIR Sweep for MPI Experiment %%%
params = struct;
params.i_atten = 10;
wh = DataStorage(params);
wh.addStorage("ber");
wh.addStorage("sir");
wh.addStorage("pd_in");
playandrecord = 0;
precomp_mode = 2; %0=do nothing ; 1= measure; 2=precomp active
M = 4;
pn_key = 2;
usemrds = 0;
fdac = 92e9;
fsym = 92e9;
fadc = 160e9;
rrcalpha = 0.05;
v_bias = 2.27;
i_atten = 40;
pd_in_desired = 7;
disp(['Start Measurement of ',num2str(prod(wh.dim)),' loops...'])
%%%%% SET Volatges %%%%%%
dcs = DC_supply("active",[1,1],"voltage",[v_bias, 9]);
dcs.set("voltage",[v_bias, 9]);
voa = OptAtten("active",[0,2,1,1],"value",[0,pd_in_desired,0,i_atten],"wavelength",[1310,1310,1310,1310]);
voa.set('active',[0,2,1,1],'value',[0,pd_in_desired,0,i_atten]);
voa.readvals();
%%%%% SET Volatges %%%%%%
if 1
precomp_path = "C:\Users\sioe\Documents\MATLAB\imdd_simulation\projects\standard_system\";
precomp_fn = "lab_mpi_setup_2";
else
precomp_path = "C:\Users\sioe\Documents\MATLAB\model-collection\sioe_models\Labor_2024\Lab_PAM4\";
precomp_fn = "precomp_bla__loop1_1";
end
%%%%% 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",0,...
"mrds_code",usemrds,"mrds_blocklength",512).process();
if precomp_mode == 1 % measure channel
freqresp = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
Digi_sig = freqresp.buildOFDM();
elseif precomp_mode == 2 % apply precomp
freqresp = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
Digi_sig = freqresp.precomp(Digi_sig,'maxampdb',3,'loadPath',precomp_path,'fileName',precomp_fn);
end
%%%%% AWG %%%%%%
AWG = AwgKeysight("model","M8196A","fdac",fdac,"scaletodac",[1,1,1,1],"skews",[0,0,0,0],"voltages",[0,0,0,0.62]);
AWG.upload("signal4",Digi_sig);
for i_atten = wh.parameter.i_atten.values
%%%%% SET ATTENUATOR %%%%%%
voa.set('active',[0,2,1,1],'value',[0,7,0,i_atten]);
%%%%% Scope %%%%%%
SCP = ScopeKeysight("model","DSAZ634A",'autoscale',1,"fadc",'GSa_160',"channel",[1],"recordLen",2000000,"removeDC",1);
Scpe_sig = SCP.read();
Scpe_sig = Electricalsignal(Scpe_sig{1},"fs",fadc);
% Scpe_sig.spectrum("displayname",'Rx Signal','fignum',10);
%%%%%% Sample to 2x fsym %%%%%%
Scpe_sig = Scpe_sig.resample("fs_in",160e9,"fs_out",2*92e9);
if precomp_mode == 1
freqresp.estimate(Scpe_sig,"save",true,"savePath",precomp_path,"fileName",precomp_fn);
freqresp.plot();
end
%%%%%% Sync Rx signal with reference %%%%%%
[Scpe_sig,S] = Scpe_sig.tsynch("reference",Symbols,"fs_ref",fsym);
Scpe_sig.eye(fsym,M);
%%%%% EQUALIZE %%%%%%
Eq_ffe_only = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0);
ber_ffe_only = runEQ(Eq_ffe_only,Scpe_sig,Symbols,Bits,M);
Eq_move_it = 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);
ber_move_it = runEQ(Eq_move_it,Scpe_sig,Symbols,Bits,M);
Eq_nonlin = 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);
%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",0);
ber_nonlin = runEQ(Eq_nonlin,Scpe_sig,Symbols,Bits,M);
Eq_adaptive_decision = FFE_adaptive_decision("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0,"buffer_length",80);
ber_adaptive_decision = runEQ(Eq_adaptive_decision,Scpe_sig,Symbols,Bits,M);
FFE_FFDCAVG("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0,"mu_buff",128);
ber_ff_dcavg = runEQ(FFE_FFDCAVG,Scpe_sig,Symbols,Bits,M);
Eq_feedback_removal = 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",1);
ber_feedback_removal = runEQ(Eq_feedback_removal,Scpe_sig,Symbols,Bits,M);
sir = voa.power_state(3)-voa.power_state(4);
pd_in = voa.power_state(2);
disp(['BER: ',sprintf('%.1E',ber_eq),' | SIR: ',num2str(sir),' dB | PD_in: ',num2str(pd_in),' dBm']);
wh.addValueToStorage(ber_eq,'ber',i_atten);
wh.addValueToStorage(sir,'sir',i_atten);
wh.addValueToStorage(pd_in,'pd_in',i_atten);
end
cols = linspecer(8);
sir_vals = wh.parameter.i_atten.values;
bers = wh.getStoValue('ber',sir_vals);
figure(44);
a = gca;
hold on; % Retain the plot so new points can be added without complete redraw
plot(sir_vals,bers,"LineWidth",0.5,"LineStyle","-","Marker",".","MarkerSize",15,"DisplayName","FFE only");
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