function [ber] = imdd_simulation_minimal(varargin) % BASIC IMDD Model... % varargin is either empty or a struct, i.e.: % optionalvars = struct('bitrate',300e9,'M',6); % then: % imdd_simulation_minimal(optionalvars) % replaces the respective variables -> nice for looping parameter sets curFolder = pwd; funcFolder=fileparts(mfilename('fullpath')); if ~isempty(funcFolder) cd(funcFolder); end % TX M = 4; fsym = 112e9; apply_pulsef = 1; fdac = 256e9; fadc = 256e9; random_key = 1; db_precode = 0; db_encode = 0; rcalpha = 0.05; kover = 16; vbias_rel = 0.5; u_pi = 2.9; vbias = -vbias_rel*u_pi; laser_wavelength = 1310; laser_linewidth = 0; tx_bw_nyquist = 0.95; % Channel link_length = 1; %km % RX rop = -7; rx_bw_nyquist = 0.9; % EQ vnle_order=[50,7,7]; dfe_order = [2 0 0]; len_tr = 4096*2; mu_ffe = [0.0004 0.0004 0.0004]; mu_dfe = 0.0004; mu_dc = 0.00; % Replace optional input arguments if there are any if ~isempty(varargin) var_s = varargin{1}; if isstruct(var_s) fields = fieldnames(var_s); for i = 1:numel(fields) eval([fields{i}, ' = ', num2str( var_s.(fields{i}) ), ';']); fprintf("%s <-- %.2f \n", fields{i}, var_s.(fields{i})); end else error('Optional variables should be passed as a struct.'); end end fsym_ = floor( bitrate*1e-9./log2(M) ).*1e9; if fsym_ ~= fsym fsym = fsym_; fprintf('Adapted symbolrate to %d GBd, to match provided bitrate of %d GBit/s using PAM %d \n',fsym.*1e-9,bitrate.*1e-9, M); end f_nyquist = fsym/2; %%%% TX Signal Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rcalpha); [Digi_sig,Tx_symbols,Tx_bits] = PAMsource(... "fsym",fsym,"M",M,"order",18,"useprbs",1,... "fs_out",fdac,... "applyclipping",0,"clipfactor",1.5,... "applypulseform",apply_pulsef,"pulseformer",Pform,... "randkey",random_key,... "db_precode",db_precode,"db_encode",db_encode,... "mrds_code",0,"mrds_blocklength",512).process(); Digi_sig.spectrum("displayname",'Digital Spectrum at TX','fignum',10,'normalizeTo0dB',1); %%%%% AWG % El_sig = M8199A("kover",kover).process(Digi_sig); El_sig = AWG("fdac",fdac,"f_cutoff",fsym,"lpf_active",1,"kover",kover,"bit_resolution",12).process(Digi_sig); % El_sig.spectrum("displayname",'Digi Spectrum','fignum',100,'normalizeTo0dB',0); El_sig = El_sig.setPower(0,"dBm"); El_sig.eye(fsym,M,"fignum",11,'displayname','Rx Eye'); %%%%% Low-pass el. components %%%%%% El_sig = Filter('filtdegree',4,"f_cutoff",75e9,"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); %%%%% MODULATE E/O CONVERSION %%%%%% [Opt_sig] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",laser_wavelength,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",random_key+1).process(El_sig); %%%%%% Fiber %%%%%% 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); %%%%%% ROP %%%%%% Rx_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",rop).process(Opt_sig); %%%%%% PD Square Law %%%%%% Rx_sig = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20,"nep",1.8e-11).process(Rx_sig); Rx_sig.eye(fsym,M,"fignum",30,'displayname','Rx Eye'); %%%%%% Low-pass RX (PD, El. Connectors and Scope %%%%%% Rx_sig = Filter('filtdegree',4,"f_cutoff",75e9,"fs",fdac*kover,"filterType",filtertypes.butterworth,"active",true).process(Rx_sig); %%%%%% Low-pass inside Scope %%%%%% Lp_scpe = Filter('filtdegree',4,"f_cutoff",110e9,"fs",fadc,"filterType",filtertypes.butterworth,"active",true); %%%%%% Scope %%%%%% 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",8,"quantbuffer",0.1,'block_dc',1,'lpf_active',1,'H_lpf',Lp_scpe).process(Rx_sig); Scpe_sig.spectrum("displayname",'Digital (256 GSa/s) Rx Spectrum','fignum',10,'normalizeTo0dB',1); Scpe_sig.normalize("mode","rms").plot("displayname",'Digital (256 GSa/s) Rx Spectrum','fignum',21,'clear',1); %%%%%% 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",Tx_symbols,"fs_ref",fsym); %%% EQUALIZING %FFE or VNLE [Eq_signal,Eq_noise] = EQ("Ne",vnle_order,"Nb",dfe_order,"training_length",len_tr,"training_loops",5,"dd_loops",5,"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1).process(Scpe_sig,Tx_symbols); Rx_bits = PAMmapper(M,0).demap(Eq_signal); [~,numErrors,ber,~] = calc_ber(Rx_bits.signal,Tx_bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1); Eq_signal.normalize("mode","rms").plot("displayname",'Digital (256 GSa/s) Rx Spectrum','fignum',21,'clear',0); %%% Visualize EQ Stuff figure(40); clf title(sprintf('PAM %d after EQ ; BER: %1.2e',M, ber )); constellation = unique(Tx_symbols.signal); received = NaN(numel(constellation),length(Tx_symbols)); for lvl = 1:numel(constellation) %Separate the equalized signal into the %respective levels based on the actually %transmitted level! received(lvl,Tx_symbols.signal==constellation(lvl)) = Eq_signal.signal(Tx_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 fprintf('BER: %.2e \n',ber); autoArrangeFigures; if ~isempty(curFolder) cd(curFolder); end end