341 lines
15 KiB
Matlab
341 lines
15 KiB
Matlab
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folderpath = 'C:\Users\sioe\Documents\High_Speed_Measurement_2024\baudrate_sweep_b2b\';
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experiment_name = 'PAMX_b2b_baudrate';
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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 = 0;
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postfilter_approach = 1;
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db_channel_approach = 0;
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db_coding_approach = 0;
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db_precode = 0;%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.fsym = [100:6:200].*1e9; %2.67; % PAM6=2.3V %PAM8=2.68V
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params.rop_atten = 0:0.5:7;
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params.M = [8,6,4];
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wh = DataStorage(params);
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wh.addStorage("ber_ffe");
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wh.addStorage("ber_mlse");
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wh.addStorage("ber_db");
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wh.addStorage("pd_in");
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wh.addStorage("rop");
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wh.addStorage("M");
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wh.addStorage("signals");
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wh.addStorage("v_bias");
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wh.addStorage("awg_vpp");
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wh.addStorage("precomp_amp_max")
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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 = 5;
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awg_vpp = 2.7;
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random_key = 2;
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pd_in_set = 7;
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looptotal = prod(wh.dim);
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disp(['Start Measurement of ',num2str(looptotal),' loops...'])
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iterationTimes = zeros(looptotal, 1); % Preallocate for speed
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if ~exist('hWaitbar', 'var') || ~isvalid(hWaitbar)
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hWaitbar = waitbar(0, sprintf('Starting %d measurements',looptotal), 'Name', 'Processing Progress');
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else
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waitbar(0, hWaitbar, sprintf('Starting %d measurements',looptotal));
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end
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loopcnt = 0;
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estimatedTimeRemaining = 0;
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estimatedTotalTime = 0;
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for M = wh.parameter.M.values
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%%%%% 1) SET Voltages for each modulation format once %%%%%%
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if M == 4
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v_bias = 2.1;
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elseif M == 6
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v_bias = 2.3;
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elseif M == 8
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v_bias = 2.67;
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end
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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 Voltages %%%%%%
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if M ~= 8
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pause(30*60); %wait 30 minutes for stable bias
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end
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for fsym = wh.parameter.fsym.values
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%%%% 2) PREARE THE TX SIGNAL ONCE FOR EACH FSYM RATE %%%%
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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",4000000,"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",1.7,...
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"applypulseform",0,"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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%%%%% Precompensation Routine %%%%%%
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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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%%%%% 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",10);
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loop_name = ['PAM_',num2str(M),'_fsym_',num2str(fsym.*1e-9)];
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save([folderpath,experiment_name,loop_name,'_bits'],"Bits");
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save([folderpath,experiment_name,loop_name,'_symbols'],"Symbols");
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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for rop_atten = wh.parameter.rop_atten.values
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%%%%% Loop Preps
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iterationStartTime = tic;
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loopcnt = loopcnt+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]);
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voa.set('active',[1,2,1,1],'value',[rop_atten,pd_in_set,0,0]);
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%%% HERE SHOULD BE THE DATA PREPARATION WHICH IS NOW IN BETWEEN
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%%% THE LOOPS :-) %%%
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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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%%%%%% 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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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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%%%%% Plot and Save Routines: SAVE RECEIVED SIGNALS %%%%%%%%%%%%%%%%%%%%%%%%%
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loop_name = ['PAM_',num2str(M),'_fsym_',num2str(fsym.*1e-9),'_rop_',num2str(rop_atten)];
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loop_name = strrep(loop_name,'.','_');
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save([folderpath,experiment_name,loop_name,'_rx_signal'],"S");
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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 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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if ffe_only %%%%%%%%%%%%%%%%%%%%%%%%%%%
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[EQ_sig] = Eq.process(Scpe_sig_syncd,Symbols);
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% EQ_sig.plot("fignum",50,"displayname",'After EQ');
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Rx_bits = PAMmapper(M,0).demap(EQ_sig);
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[~,errors_bm,ber_ffe,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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disp(['FFE: ',sprintf('%.1E',ber_ffe),'| ROP: ',num2str(rop),' dB | PD_in: ',num2str(pd_in),' dBm']);
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if 0
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EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
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figure(56);
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clf
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title(sprintf('PAM %d ; BER: %1.2e',M, ber_ffe));
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constellation = unique(Symbols.signal);
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received = NaN(numel(constellation),length(Symbols));
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for lvl = 1:numel(constellation)
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%Separate the equalized signal into the
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%respective levels based on the actually
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%transmitted level!
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received(lvl,Symbols.signal==constellation(lvl)) = EQ_sig.signal(Symbols.signal==constellation(lvl));
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intermediate = received(lvl,:);
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cnt(lvl) = numel(intermediate(~isnan(intermediate)));
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hold on
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histogram(received(lvl,:),1000,"EdgeAlpha",0,'DisplayName',['Lvl ',num2str(lvl),' | ',num2str(cnt(lvl)),' entries']);
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end
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legend
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end
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elseif postfilter_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
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[EQ_sig] = Eq.process(Scpe_sig_syncd,Symbols);
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% EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
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Noi = EQ_sig-Symbols;
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Rx_bits = PAMmapper(M,0).demap(EQ_sig);
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[~,num_errors,ber_ffe,pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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nc = 2;
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burg_coeff = arburg(Noi.signal,nc);
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EQ_sig = EQ_sig.filter(burg_coeff,1);
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if 0
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Noi.spectrum('displayname','Noise PSD','fignum',123)
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[h,w] = freqz(1,burg_coeff,length(Noi),"whole",Noi.fs);
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h = h/max(abs(h));
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hold on
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w_ = (w - Noi.fs/2);
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plot(w_.*1e-9,20*log10(fftshift(h)),'DisplayName',['', num2str(nc), ' coefficients for burg alg.']);
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end
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EQ_sig = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
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Rx_bits = PAMmapper(M,0).demap(EQ_sig);
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[~,num_errors,ber_mlse,pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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disp(['FFE: ',sprintf('%.1E',ber_ffe),' -> PF -> MLSE: ',sprintf('%.1E',ber_mlse),' dB | PD_in: ',num2str(pd_in),' dBm']);
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elseif db_channel_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
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if db_precode
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[EQ_sig, Noi] = Eq.process(Scpe_sig_syncd,Duobinary().encode(Symbols));
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EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
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EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
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EQ_sig = Duobinary().decode(EQ_sig);
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Rx_bits = PAMmapper(M,0).demap(EQ_sig);
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[~,num_errors,ber_db,pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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disp([' DB Precode -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber_db),' | PD_in: ',num2str(pd_in),' dBm']);
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else
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% Toms approach für precode emulation
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[EQ_sig, Noi] = Eq.process(Scpe_sig_syncd,Duobinary().encode(Symbols));
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EQ_sig.spectrum("displayname","Signal Spectrum after Postfilter","fignum",1234,"normalizeToNyquist",0);
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EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
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% 2: Entschiedene Symbole codieren
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%EQ_sig = Duobinary().encode(EQ_sig);
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% 3. Entschiedene und codierte Symbole dekodieren
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EQ_sig = Duobinary().decode(EQ_sig);
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% 4. Demap EQ'd symbols
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Rx_bits = PAMmapper(M,0).demap(EQ_sig);
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Symbols_db = Duobinary().precode(Symbols);
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Bits_ = PAMmapper(M,0).demap(Symbols_db);
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[~,num_errors,ber_db,pos_errors] = calc_ber(Rx_bits.signal,Bits_.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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disp([' DB Precode -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber_db),' | PD_in: ',num2str(pd_in),' dBm']);
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end
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elseif db_coding_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
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[EQ_sig, Noi] = Eq.process(Scpe_sig_syncd,Symbols);
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EQ_sig = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
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EQ_sig = Duobinary().decode(EQ_sig);
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Rx_bits = PAMmapper(M,0).demap(EQ_sig);
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[~,errors_bm,ber_db,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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EQ_sig.plot("fignum",50,"displayname",'After EQ');
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disp([' DB Precode -> DB Code -> Channel -> FFE -> Decode/ Mod ',sprintf('%.1E',ber_db),' | PD_in: ',num2str(pd_in),' dBm']);
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end
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%%%%% Store measurement into measurement "warehouse" %%%%%%
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wh.addValueToStorage(ber_ffe,'ber_ffe',fsym,rop_atten,M);
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wh.addValueToStorage(ber_mlse,'ber_mlse',fsym,rop_atten,M);
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wh.addValueToStorage(ber_db,'ber_db',fsym,rop_atten,M);
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wh.addValueToStorage(rop,'rop',fsym,rop_atten,M);
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wh.addValueToStorage(pd_in,'pd_in',fsym,rop_atten,M);
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% wh.addValueToStorage(Rx_bits,'signals',fsym,awg_vpp,precomp_amp_max,rop_atten);
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wh.addValueToStorage(M,'M',fsym,rop_atten,M);
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wh.addValueToStorage(v_bias,"v_bias",fsym,rop_atten,M);
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wh.addValueToStorage(awg_vpp,"awg_vpp",fsym,rop_atten,M);
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wh.addValueToStorage(precomp_amp_max,"precomp_amp_max",fsym,rop_atten,M);
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%% Plot stuff into Table (feel free to add own values in -> 'name',value <- notation. Must be closed when table is changed)%%%%%%%%%%%%%%%%%%%%%%
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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);
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%%%%% Arrange Figures %%%%%%%%%%%%%%%%%%%%%%
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% autoArrangeFigures(3,3,2);
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iterationTimes(loopcnt) = toc(iterationStartTime);
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averageTimePerIteration = mean(iterationTimes(1:loopcnt));
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estimatedTotalTime = averageTimePerIteration * looptotal;
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estimatedTimeRemaining = estimatedTotalTime - sum(iterationTimes(1:loopcnt));
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progressFraction = loopcnt / looptotal;
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waitbar(progressFraction, hWaitbar, ...
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sprintf('Loop: %d of %d \n Runtime: %.1f min | %.1f sec per Loop |Time to go: %.1f min ', ...
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loopcnt, looptotal, sum(iterationTimes(1:loopcnt))/60, averageTimePerIteration, estimatedTimeRemaining/60 ));
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wh.save([folderpath,experiment_name,'_wh']);
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if rop_atten == 0
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figure(10)
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hold on
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col = linspecer(8);
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scatter(fsym.*1e-9,ber_ffe,30,'o','MarkerEdgeColor',col(M,:),'LineWidth',2);
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xlim([wh.parameter.fsym.values(1) wh.parameter.fsym.values(end)].*1e-9);
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yline(3.8e-3, 'DisplayName', 'HD-FEC', 'LineStyle', '--', 'HandleVisibility', 'off');
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xlabel('Received Optical Power (dBm)');
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ylabel('Bit Error Rate (BER)');
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title('Bit Error Rate vs. ROP');
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set(gca, 'yscale', 'log');
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set(gca, 'Box', 'on');
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grid on;
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grid minor;
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legend('Interpreter', 'none');
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end
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end
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end
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end
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close(hWaitbar);
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wh.save([folderpath,experiment_name,'_wh_final']);
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autoArrangeFigures(3,3,2) |