%% Parameter to simulate and save params = struct; params.M = [8]; params.datarate = [448]; params.rop = [-12:0]; precomp_mode = 0; %0=do nothing ; 1= measure; 2=precomp active postfilter = 0; % noise whiten. approach -> Postfilter + MLSE db_precode = 1; db_encode = 1; db_channelapproach = 0; if ismac precomp_path = "/Users/silasoettinghaus/Documents/MATLAB/imdd_simulation/projects/standard_system"; else precomp_path = "C:\Users\sioe\Documents\MATLAB\imdd_simulation\projects\standard_system\"; end precomp_fn = "400G_simulative_setup"; usemrds = 0; name = ['wh_',strrep(num2str(now),'.','')]; wh = DataStorage(params); wh.addStorage("ber_ffe"); %% Init Params link_length = 1000; %meter pn_key = 2; laser_linewidth = 0; endcnt = prod(wh.dim); cnt=0; disp(['Start Simulation of ',num2str(endcnt),' loops...']) tic for M = wh.parameter.M.values for datarate = wh.parameter.datarate.values % SETUP HERE: %% kover = 16; M8199 = M8199B("kover",kover); fdac = M8199.fdac; fsym = round(datarate / log2(M)) * 1e9; rrcalpha = 0.05; Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rrcalpha); % MAIN SIGNAL %%%%% Symbol Generation %%%%%% [Digi_sig,Symbols,Bits] = PAMsource("fsym",fsym,"M",M,"order",18,"useprbs",0,... "fs_out",M8199.fdac,"applyclipping",1,"clipfactor",1.5,... "applypulseform",0,"pulseformer",Pform,"randkey",pn_key,... "db_precode",db_precode,"db_encode",db_encode,... "mrds_code",usemrds,"mrds_blocklength",512).process(); % Digi_sig.eye(fsym,M); Digi_sig.spectrum("fignum",123434,"displayname",'Digital Tx Signal'); if precomp_mode == 1 freqresp = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs); Digi_sig = freqresp.buildOFDM(); elseif precomp_mode == 2 Digi_sig = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs).precomp(Digi_sig,'maxampdb',1,'loadPath',precomp_path,'fileName',precomp_fn); Digi_sig.spectrum("fignum",11,"displayname",'after precomp'); end %%%%% AWG %%%%%% El_sig = M8199.process(Digi_sig); % El_sig.spectrum("displayname",'el','fignum',123434); % El_sig.signal = awgn(El_sig.signal,-3,'measured',pn_key); %%%%% Lowpass el. components %%%%%% El_sig = Filter('filtdegree',2,"f_cutoff",60e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(El_sig); %%%%% Electrical Driver Amplifier %%%%%% El_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",3).process(El_sig); % El_sig = El_sig.setPower(6,"dBm"); fprintf('Driver output power: %s dBm\n', num2str(El_sig.power)); fprintf('Driver output peak voltage: %s Vpp \n', num2str(max(El_sig.signal)-min(El_sig.signal))); % MAIN SIGNAL %%%%% MODULATE E/O CONVERSION %%%%%% vbias_rel = 0.5; u_pi = 2.9; vbias = -vbias_rel*u_pi; [Opt_sig] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",1290,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",pn_key).process(El_sig); % Opt_sig.eye(fsym,7); % % figure(10) % hold on % scatter(El_sig.signal(1:100000)+vbias,(abs(Opt_sig.signal(1:100000)).^2)*1e3,0.1,'.','DisplayName','Modulator TF') % ylim([0 4]); % xlim([-u_pi/2, u_pi/2]+vbias); % xlabel('Input in V') % ylabel('abs(Output) in mW') Optfilter = Filter('filtdegree',6,"f_cutoff",fsym.*0.7,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true); Opt_sig = Optfilter.process(Opt_sig); % Opt_sig.spectrum("fignum",122,"displayname",['Tx SPectrum; PAM ',num2str(M)]); Opt_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",0).process(Opt_sig); i_ = wh.parameter.rop.length; ber_ffe=zeros(i_); patten=zeros(i_); %%%%% Interference Signal Fiber Prop %%%%%% Opt_sig = Fiber("fsimu",Opt_sig.fs,"fiber_length",link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig); % Receiver ROP curve for i = 1:i_ rop=wh.parameter.rop.values(i); % Set ROP Rx_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",rop).process(Opt_sig); patten(i) = Rx_sig.power; %%%%%% Square Law %%%%%% Rx_sig = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20,"nep",1.8e-11).process(Rx_sig); %%%%%% Lowpass PhDiode %%%%%% Rx_sig = Filter('filtdegree',2,"f_cutoff",70e9,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true).process(Rx_sig); %%%%%% Scope %%%%%% fadc = 256e9; Lp_scpe = Filter('filtdegree',4,"f_cutoff",100e9,"fs",fadc,"filterType",filtertypes.butterworth,"active",true); Scpe_sig = Scope("fsimu",fdac*kover,"fadc",fadc,... "delay",0,"fixed_delay",0,"filtertype",filtertypes.butterworth,... "samplingdelay",0,"rand_samplingdelay",0,"freq_offset",0,"samp_jitter",0,... "adcresolution",10,"quantbuffer",0.1,'block_dc',1,'lpf_active',1,'H_lpf',Lp_scpe).process(Rx_sig); if precomp_mode == 1 freqresp.estimate(Scpe_sig,"save",true,"savePath",precomp_path,"fileName",precomp_fn); freqresp.plot(); end Scpe_sig.spectrum("displayname",'After Scope','fignum',123434); %%%%%% Sample to 2x fsym %%%%%% Scpe_sig = Scpe_sig.resample("fs_in",fadc,"fs_out",2*fsym); %%%%%% Sync Rx signal with reference %%%%%% [Scpe_sig,S] = Scpe_sig.tsynch("reference",Symbols,"fs_ref",fsym); %%%%% EQUALIZE %%%%%% Eq = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",25,"sps",2,"decide",0); %Eq = 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); if db_channelapproach % ref symbols and transm. sequence are precoded [EQ_sig, Noi] = Eq.process(Scpe_sig,Duobinary().encode(Symbols)); else [EQ_sig, Noi] = Eq.process(Scpe_sig,Symbols); end if db_encode || db_channelapproach 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); end if postfilter % Noi.spectrum("displayname",'Noise Spectrum','fignum',1234); % EQ_sig.spectrum("displayname","Signal Spectrum","fignum",1234); nc = 2; burg_coeff = arburg(Noi.signal,nc); EQ_sig = EQ_sig.filter(burg_coeff,1); % EQ_sig.spectrum("displayname","Signal Spectrum after Postfilter","fignum",1234); tic EQ_sig = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig); toc % EQ_sig.spectrum("displayname","Signal Spectrum after MLSE","fignum",1234); if 0 [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 end Rx_bits = PAMmapper(M,0).demap(EQ_sig); [~,errors_bm,ber_ffe(i),errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1); disp(['BER: ',sprintf('%.1E',ber_ffe(i)),' - - ROP: ',num2str(patten(i)),'dBm - - PAM-',num2str(M),' - - ',num2str(fsym*1e-9),' GBd']); end for i = 1:i_ rop=wh.parameter.rop.values(i); wh.addValueToStorage(ber_ffe(i),'ber_ffe',M,datarate,rop); end toc % wh.save('C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\MPI_August\auswertung\') end end disp('Simulation Done!') cols = linspecer(8); %cnt = cnt+1; ber_ffe = wh.getStoValue('ber_ffe',M,datarate,wh.parameter.rop.values); % Create the initial plot figure(44); a = gca; hold on; % Retain the plot so new points can be added without complete redraw plot(wh.parameter.rop.values,ber_ffe,"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