measurement state
This commit is contained in:
Silas Labor Zizou
@@ -5,9 +5,9 @@ currentTime = datetime('now', 'Format', 'yyyyMMdd_HHmmss');
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timeStr = char(currentTime);
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experiment_name = [experiment_name, timeStr];
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ffe_only = 1;
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ffe_only = 0;
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postfilter_approach = 0;
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db_channel_approach = 0;
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db_channel_approach = 1;
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db_coding_approach = 0;
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db_precode = db_coding_approach || db_channel_approach;
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@@ -15,19 +15,20 @@ db_precode = db_coding_approach || db_channel_approach;
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%%% SIR Sweep for MPI Experiment %%%
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params = struct;
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params.vbias = [1.7:0.02:3.2]; % PAM6=2.3V %PAM8=2.68V
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params.awg_vpp = [2.7];
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params.precomp_amp_max = [5];
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params.rop_atten = [0];
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params.M = [4,6,8];
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params.lambda = [1292,1310,1327]; %calcWavelengthPlan(16, 400e9 , 1310);
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% params.vbias = [2.23]; % PAM6=2.3V %PAM8=2.68V
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% params.vbias = [1.7:0.02:3.2]; % PAM6=2.3V %PAM8=2.68V
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% params.awg_vpp = [2.7];
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% params.precomp_amp_max = [5];
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% params.rop_atten = [0];
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% params.M = [6];
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% params.lambda = [1310]; %calcWavelengthPlan(16, 400e9 , 1310);
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% params.M = [4,6,8];
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% params.lambda = [1293,1310,1327.4]; %calcWavelengthPlan(16, 400e9 , 1310);
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params.vbias = [2.3]; %PAM4=2.3 V PAM6=2.3V %PAM8=2.6V
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params.awg_vpp = [2.7];
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params.precomp_amp_max = [-50];
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params.rop_atten = [0];
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params.M = [4];
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params.lambda = [1310]; %calcWavelengthPlan(16, 400e9 , 1310);
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params.rcalpha = [0.05];
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wh = DataStorage(params);
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@@ -39,14 +40,17 @@ wh.addStorage("pd_in");
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wh.addStorage("rop");
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wh.addStorage("m");
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wh.addStorage("rx_logbook");
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wh.addStorage("dcs");
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wh.addStorage("pdfa");
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wh.addStorage("exfo");
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precomp_path = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\precomp\";
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precomp_fn = "lab_high_speed";
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precomp_mode = 2; %0=do nothing ; 1= measure; 2=precomp active
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precomp_amp_max = 4;
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precomp_amp_max = -34;
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random_key = 2;
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pd_in_set = 7;
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pd_in_set = 8;
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looptotal = prod(wh.dim);
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@@ -62,301 +66,385 @@ loopcnt = 0;
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estimatedTimeRemaining = 0;
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estimatedTotalTime = 0;
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for lambda = wh.parameter.lambda.values
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for rcalpha = wh.parameter.rcalpha.values
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for lambda = wh.parameter.lambda.values
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exfo = Exfo_laser("serialport_number",'COM8','mainframe_channel',1,'safety_mode',0);
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pdfa = Thor_PDFA("safety_mode",0);
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exfo.getLaserInfo;
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exfo = Exfo_laser("serialport_number",'COM8','mainframe_channel',1,'safety_mode',0);
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pdfa = Thor_PDFA("safety_mode",0);
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exfo.getLaserInfo;
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if ~(exfo.cur_wavelength == lambda)
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if ~(exfo.cur_wavelength == lambda)
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% 1)
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pdfa.disablePDFA;
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% 1)
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pdfa.disablePDFA;
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% 2)
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exfo.setWavelength(lambda);
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% 2)
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exfo.setWavelength(lambda);
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end
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% 3)
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pdfa.enablePDFA();
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% 3)
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pdfa.enablePDFA();
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% 4)
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pdfa.setPumpLevel(100);
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% 4)
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pdfa.setPumpLevel(100);
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% 5) SET to first vbias and wait 30 minutes
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v_bias_first = wh.parameter.vbias.values(1);
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dcs = DC_supply("active",[1,0],"voltage",[v_bias_first, 0]);
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dcs.set("voltage",[v_bias_first, 0]);
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% pause(30*60); %wait 30 minutes for stable bias
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for v_bias = wh.parameter.vbias.values
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for rop_atten = wh.parameter.rop_atten.values
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for precomp_amp_max = wh.parameter.precomp_amp_max.values
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for M = wh.parameter.M.values
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for awg_vpp = wh.parameter.awg_vpp.values
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iterationStartTime = tic;
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loopcnt = loopcnt+1;
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if M == 4
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fsym = 168e9;
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pulsef = 1;
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elseif M == 6
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fsym = 144e9;
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pulsef = 0;
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elseif M == 8
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fsym = 120e9;
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pulsef = 0;
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end
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%%%%% Loop Preps
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%fsym = round(targetrate/log2(M));
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loop_name = ['_fsym_',num2str(fsym)];
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%%%%% SET Voltages %%%%%%
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dcs = DC_supply("active",[1,0],"voltage",[v_bias, 0]);
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dcs.set("voltage",[v_bias, 0]);
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%%%%% SET Attenuator %%%%%%
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voa = OptAtten("active",[1,2,1,1],"value",[rop_atten,pd_in_set,0,0],"wavelength",[1310,1310,1310,1310]);
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voa.set('active',[1,2,1,1],'value',[rop_atten,pd_in_set,0,0]);
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% voa.readvals();
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%%%%% Construct AWG and Scope Modules %%%%%%
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fdac = 256e9;
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fadc = 256e9;
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SCP = ScopeKeysight("model","UXR1104B",'autoscale',1,"fadc","GSa_256","channel",[0,1,0,0],"recordLen",2000000,"removeDC",1);
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AWG = AwgKeysight("model","M8199B","fdac",fdac,"scaletodac",[1,1],"skews",[0,0],"voltages",[0,awg_vpp]);
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A2S = Awg2Scope(AWG,SCP,[0,2,0,0],"waitUntilClick",0); %
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%%%%% Symbol Generation %%%%%%
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Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",0.05);
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[Digi_sig,Symbols,Bits] = PAMsource(...
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"fsym",fsym,"M",M,"order",19,"useprbs",1,...
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"fs_out",fdac,...
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"applyclipping",0,"clipfactor",1.5,...
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"applypulseform",pulsef,"pulseformer",Pform,...
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"randkey",random_key,...
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"db_precode",db_precode,"db_encode",db_coding_approach,...
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"mrds_code",0,"mrds_blocklength",512).process();
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Digi_sig.spectrum("displayname","Normal Tx","fignum",20,"normalizeToNyquist",0,"normalizeTo0dB",0);
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%%%%% Precompensation Routine %%%%%%
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if precomp_mode == 1 % measure channel
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precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',fdac);
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Digi_sig = precomp_est.buildOFDM();
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elseif precomp_mode == 2 % apply precomp
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precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
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Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',precomp_amp_max,'loadPath',precomp_path,'fileName',precomp_fn);
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end
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%%%%% Resample to DAC rate %%%%%%
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Digi_sig = Digi_sig.resample("fs_out",AWG.fdac);
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end
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%%%%% Plot and Save Routine 1 %%%%%%%%%%%%%%%%%%%%%%%%%
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Digi_sig.spectrum("displayname","Normal Tx","fignum",10,"normalizeToNyquist",0,"normalizeTo0dB",0);
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% 5) SET to first vbias and wait 30 minutes
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v_bias_first = wh.parameter.vbias.values(1);
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dcs = DC_supply("active",[1,0],"voltage",[v_bias_first, 0]);
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dcs.set("voltage",[v_bias_first, 0]);
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dcs.readVals();
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save([folderpath,[experiment_name,'_bits'],loop_name],"Bits");
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save([folderpath,[experiment_name,'_symbols'],loop_name],"Symbols");
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% pause(30*60); %wait 30 minutes for stable bias
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%%%%% AWG --> Scope %%%%%%
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[~,Scpe_sig_raw,~,D] = A2S.process("signal2",Digi_sig,"waitUntilClick",0);
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for v_bias = wh.parameter.vbias.values
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for rop_atten = wh.parameter.rop_atten.values
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for precomp_amp_max = wh.parameter.precomp_amp_max.values
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for M = wh.parameter.M.values
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for awg_vpp = wh.parameter.awg_vpp.values
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% Scpe_sig_raw.spectrum("displayname","Scope PSD","fignum",20);
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% Scpe_sig_raw.plot("displayname","Scope raw signal","fignum",25,"clear",1);
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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iterationStartTime = tic;
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loopcnt = loopcnt+1;
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%%%%%% Sample to 2x fsym %%%%%%
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Scpe_sig_resampled = Scpe_sig_raw.resample("fs_in",fadc,"fs_out",2*fsym);
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%%%%% Precompensation Routine %%%%%%
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if precomp_mode == 1
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precomp_est.estimate(Scpe_sig_resampled,"save",true,"savePath",precomp_path,"fileName",precomp_fn);
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precomp_est.plot();
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end
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voa.readvals();
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rop = voa.power_state(1);
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pd_in = voa.power_state(2);
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disp(['ROP: ',num2str(rop),' dBm || PD in: ',num2str(pd_in), ' dBm']);
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%%%%%% Sync Rx signal with reference (S is a cell array with all occurences) %%%%%%
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[Scpe_sig_syncd,S,isFlipped] = Scpe_sig_resampled.tsynch("reference",Symbols,"fs_ref",fsym);
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%%%%%% SNR CHEAT - Avges the measured signal occurences found after correlation in "tsynch" %%%%%%
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average_signals = 0;
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if average_signals
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scope_mean = zeros(size(S{1}.signal));
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for n=1:numel(S)
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scope_mean = scope_mean + S{n}.signal;
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if M == 4
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fsym = 220e9;
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pulsef = 0;
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elseif M == 6
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fsym = 180e9;
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pulsef = 0;
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elseif M == 8
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fsym = 160e9;
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pulsef = 0;
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end
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scope_mean = scope_mean ./ n;
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Scpe_sig_syncd.signal = scope_mean;
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end
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%%%%% Plot and Save Routines: SAVE RECEIVED SIGNALS %%%%%%%%%%%%%%%%%%%%%%%%%
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save([folderpath,experiment_name,'_rx_signal',loop_name],"S");
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%%%%% Loop Preps
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%fsym = round(targetrate/log2(M));
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loop_name = ['_fsym_',num2str(fsym)];
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Scpe_sig_syncd.eye(fsym,M,"fignum",40,"displayname",' after Scope');
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%%%%% SET Voltages %%%%%%
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dcs = DC_supply("active",[1,0],"voltage",[v_bias, 0]);
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dcs.set("voltage",[v_bias, 0]);
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%%%%% EQUALIZE %%%%%%
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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);
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% 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);
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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);
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%%%%% SET Attenuator %%%%%%
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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]);
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voa.set('active',[1,2,1,1],'value',[rop_atten,pd_in_set,0,0]);
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% voa.readvals();
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% set to minus one not zero not avoid confusion if BER is acutally zero
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ber_ffe = -1;
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ber_mlse = -1;
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ber_db = -1;
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%%%%% Construct AWG and Scope Modules %%%%%%
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fdac = 256e9;
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fadc = 256e9;
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SCP = ScopeKeysight("model","UXR1104B",'autoscale',1,"fadc","GSa_256","channel",[0,1,0,0],"recordLen",3000000,"removeDC",1);
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AWG = AwgKeysight("model","M8199B","fdac",fdac,"scaletodac",[1,1],"skews",[0,0],"voltages",[0,awg_vpp]);
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A2S = Awg2Scope(AWG,SCP,[0,2,0,0],"waitUntilClick",0); %
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if ffe_only %%%%%%%%%%%%%%%%%%%%%%%%%%%
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ber = [];
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%%%%% Symbol Generation %%%%%%
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Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rcalpha);
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parfor i = 1:numel(S)
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[Digi_sig,Symbols,Bits] = PAMsource(...
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"fsym",fsym,"M",M,"order",19,"useprbs",1,...
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"fs_out",fdac,...
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"applyclipping",0,"clipfactor",1.5,...
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"applypulseform",pulsef,"pulseformer",Pform,...
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"randkey",random_key,...
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"db_precode",db_precode,"db_encode",db_coding_approach,...
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"mrds_code",0,"mrds_blocklength",512).process();
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[EQ_sig] = Eq.process(S{i},Symbols);
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Digi_sig.spectrum("displayname","Normal Tx","fignum",10,"normalizeToNyquist",0,"normalizeTo0dB",0);
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% EQ_sig.plot("fignum",50,"displayname",'After EQ');
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%%%%% Precompensation Routine %%%%%%
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if precomp_mode == 1 % measure channel
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precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',fdac);
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Digi_sig = precomp_est.buildOFDM();
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elseif precomp_mode == 2 % apply precomp
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precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
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Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',precomp_amp_max,'loadPath',precomp_path,'fileName',precomp_fn);
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end
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%%%%% Resample to DAC rate %%%%%%
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Digi_sig = Digi_sig.resample("fs_out",AWG.fdac);
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%%%%% Plot and Save Routine 1 %%%%%%%%%%%%%%%%%%%%%%%%%
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Digi_sig.spectrum("displayname","Normal Tx","fignum",14,"normalizeToNyquist",0,"normalizeTo0dB",0);
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% save([folderpath,[experiment_name,'_bits'],loop_name],"Bits");
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% save([folderpath,[experiment_name,'_symbols'],loop_name],"Symbols");
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%% AWG --> Scope %%%%%%
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[~,Scpe_sig_raw,~,D] = A2S.process("signal2",Digi_sig,"waitUntilClick",0);
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Scpe_sig_raw.spectrum("displayname","Scope PSD","fignum",20,"normalizeTo0dB",1);
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Scpe_sig_raw.plot("displayname","Scope raw signal","fignum",29,"clear",1);
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%% Sample to 2x fsym %%%%%%
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Scpe_sig_resampled = Scpe_sig_raw.resample("fs_in",fadc,"fs_out",2*fsym);
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%%%%% Precompensation Routine %%%%%%
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if precomp_mode == 1
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precomp_est.estimate(Scpe_sig_resampled,"save",true,"savePath",precomp_path,"fileName",precomp_fn);
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precomp_est.plot();
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end
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voa.readvals();
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rop = voa.power_state(1);
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pd_in = voa.power_state(2);
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disp(['ROP: ',num2str(rop),' dBm || PD in: ',num2str(pd_in), ' dBm']);
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%%%%%% Sync Rx signal with reference (S is a cell array with all occurences) %%%%%%
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[Scpe_sig_syncd,S,isFlipped] = Scpe_sig_resampled.tsynch("reference",Symbols,"fs_ref",fsym);
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%%%%%% SNR CHEAT - Avges the measured signal occurences found after correlation in "tsynch" %%%%%%
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average_signals = 0;
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if average_signals
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Scpe_sig_avg = Scpe_sig_syncd;
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scope_mean = zeros(size(S{1}.signal));
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for n=1:numel(S)
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scope_mean = scope_mean + S{n}.signal;
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end
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scope_mean = scope_mean ./ n;
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Scpe_sig_avg.signal = scope_mean;
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Scpe_sig_avg.spectrum("displayname","Scope PSD","fignum",20,"normalizeTo0dB",1);
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Scpe_sig_avg.plot("displayname","Scope raw signal","fignum",27,"clear",1);
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Scpe_sig_avg.eye(fsym,M,"fignum",41,"displayname",' Eye of AVG Signal');
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end
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% Optfilter = Filter('filtdegree',6,"f_cutoff",100e9,"fs",Scpe_sig_avg.fs,"filterType",filtertypes.gaussian,"active",true);
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% Scpe_sig_syncd = Optfilter.process(Scpe_sig_syncd);
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% Scpe_sig_syncd.spectrum("displayname","Scope PSD","fignum",20,"normalizeTo0dB",1);
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%%%%% Plot and Save Routines: SAVE RECEIVED SIGNALS %%%%%%%%%%%%%%%%%%%%%%%%%
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% save([folderpath,experiment_name,'_rx_signal',loop_name],"S");
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Scpe_sig_syncd.eye(fsym,M,"fignum",40,"displayname",' after Scope');
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%%%%% EQUALIZE %%%%%%
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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);
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% 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 %%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
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);
|
||||
|
||||
[~,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']);
|
||||
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
|
||||
|
||||
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
|
||||
%%%%% 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);
|
||||
|
||||
elseif postfilter_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
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);
|
||||
|
||||
[EQ_sig] = Eq.process(Scpe_sig_syncd,Symbols);
|
||||
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);
|
||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
|
||||
%%%%% 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);
|
||||
|
||||
Noi = EQ_sig-Symbols;
|
||||
%%%%% Arrange Figures %%%%%%%%%%%%%%%%%%%%%%
|
||||
autoArrangeFigures(3,3,2);
|
||||
|
||||
Rx_bits = PAMmapper(M,0).demap(EQ_sig);
|
||||
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 ));
|
||||
|
||||
[~,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 %%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
[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']);
|
||||
wh.save([folderpath,experiment_name,'_wh']);
|
||||
|
||||
end
|
||||
|
||||
|
||||
%%%%% Store measurement into measurement "warehouse" %%%%%%
|
||||
wh.addValueToStorage(ber,'ber_collect',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda);
|
||||
wh.addValueToStorage(ber_ffe,'ber_ffe',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda);
|
||||
wh.addValueToStorage(ber_mlse,'ber_mlse',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda);
|
||||
wh.addValueToStorage(ber_db,'ber_db',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda);
|
||||
|
||||
wh.addValueToStorage(rop,'rop',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda);
|
||||
wh.addValueToStorage(pd_in,'pd_in',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda);
|
||||
Rx_bits.logbook.SignalCopy = [];
|
||||
wh.addValueToStorage(Rx_bits,'rx_logbook',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda);
|
||||
wh.addValueToStorage(M,'m',v_bias,awg_vpp,precomp_amp_max,rop_atten,M,lambda);
|
||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
|
||||
%%%%% 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']);
|
||||
|
||||
end
|
||||
end
|
||||
end
|
||||
@@ -364,11 +452,12 @@ for lambda = wh.parameter.lambda.values
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
close(hWaitbar);
|
||||
|
||||
wh.save([folderpath,experiment_name,'_wh']);
|
||||
|
||||
autoArrangeFigures(3,3,2)
|
||||
% autoArrangeFigures(3,3,2)
|
||||
|
||||
%%% LAMBDA PLOT
|
||||
|
||||
|
||||
Reference in New Issue
Block a user