Working from home on zürich DSP.
This commit is contained in:
silas (home)
@@ -1,91 +1,161 @@
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% Get the script folder
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scriptFolder = fileparts(mfilename('fullpath'));
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function [results] = dsp_ief_file(varargin)
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mu_ffe1 = 0.0001;
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mu_ffe2 = 0.0008;
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mu_ffe3 = 0.001;
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mu_dc = 0.005;
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mu_dfe = 0.0004;
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vnle_order1 = 50;
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vnle_order2 = 3;
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vnle_order3 = 3;
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tcorrect = 0;
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%%% change specific parameter if given in varargin
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% Parse optional input arguments
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if ~isempty(varargin)
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var_s = varargin{1};
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if isstruct(var_s)
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fields = fieldnames(var_s);
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for i = 1:numel(fields)
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if isnumeric(fields{i})
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eval([fields{i}, ' = ', num2str( var_s.(fields{i}) ), ';']);
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fprintf("%s <-- %.2f \n", fields{i}, var_s.(fields{i}));
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else
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eval([fields{i}, ' = ', 'var_s.(fields{',num2str(i),'})' , ';']);
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end
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end
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else
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error('Optional variables should be passed as a struct.');
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end
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end
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ssdPath = "D:\36_IMDD_Kiel\Data";
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% code = "20250221T004802";
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% code = "20250221T032043";
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filename = findFileByCode(ssdPath, filecode{1});
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% Extract parameters from the filename using an updated regex
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tokens = regexp(filename, 'Pmod_([-0-9p]+)dBm_P_PD_([-0-9p]+)dBm_.*?_(\d+)GBd_(\d+)PAM__\d+T\d+', 'tokens');
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if isempty(tokens)
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error('Filename format not recognized.');
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end
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tokens = tokens{1};
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% Convert values
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config.P_laser = str2double(strrep(tokens{1}, 'p', '.'));
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config.P_pd = str2double(strrep(tokens{2}, 'p', '.'));
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config.fsym = str2double(tokens{3}) * 1e9; % Convert GBd to Hz
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config.M = str2double(tokens{4});
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% Display results
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fprintf('Loaded file: %s\n', filename);
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fprintf('P_laser: %.3f dBm\n', config.P_laser);
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fprintf('P_pd: %.3f dBm\n', config.P_pd);
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fprintf('fsym: %.1f GBd\n', config.fsym*1e-9);
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fprintf('M: %d\n', config.M);
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%%% Load Data
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filepath = fullfile(filename);
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ief_ = h5info(filepath);
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config.fs_rx = h5readatt(filepath,'/','fs'); %sampling frequency at Rx
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config.fs_tx = h5readatt(filepath, '/','fs_Tx'); %sampling frequency at Tx
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config.fsym = h5readatt(filepath, '/','R'); %Baudrate
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config.M = h5readatt(filepath, '/','M'); % PAM- 'M'
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config.ROF = h5readatt(filepath, '/','ROF');
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config.PulseShape =h5readatt(filepath, '/','PulseShape');
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yOrg = h5readatt(filepath, ief_.Groups(4).Groups(1).Name, 'YOrg');
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yInc = h5readatt(filepath, ief_.Groups(4).Groups(1).Name, 'YInc');
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dataRx = double(h5read(filepath, '/Waveforms/Channel 2/Channel 2Data')); % rohdaten des CH4
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bitsTx = h5read(filepath, '/Settings/dataTx'); %Binär
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bitsTx = reshape(bitsTx,log2(config.M),[])';
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%%% Build Tx Signal (Bits, Pam Map, Symbols)
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Tx_bits = Informationsignal(bitsTx);
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Tx_symbols = PAMmapper(config.M,0,"eth_style",1).map(Tx_bits);
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Tx_symbols.fs = config.fsym;
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%%% Build Rx Signal (Rx, normalize,remove mean)
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dataRx = dataRx*yInc+yOrg;
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Rx_Sig = Informationsignal(dataRx,"fs",config.fs_rx);
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Rx_Sig = Rx_Sig.normalize("mode","rms");
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% Rx_Sig.spectrum("fignum",3,"displayname",'Rx Signal','normalizeTo0dB',0);
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Rx_Sig = Filter('filtdegree',6,"f_cutoff",Tx_symbols.fs.*0.9,"fs",Rx_Sig.fs,"filterType",filtertypes.gaussian,"active",true).process(Rx_Sig);
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% Rx_Sig.spectrum("fignum",3,"displayname",'Rx Signal filt','normalizeTo0dB',0);
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Rx_Sig = Rx_Sig.delay(tcorrect,"mode","samples");
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%%%%%% Sample to 2x fsym %%%%%%
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Rx_Sig_resamp = Rx_Sig.resample("fs_out",2*config.fsym);
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%%%%%% Sync Rx signal with reference (S is a cell array with all occurences) %%%%%%
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[Rx_Sig_sync,S,isFlipped] = Rx_Sig_resamp.tsynch("reference",Tx_symbols,"fs_ref",config.fsym,"debug_plots",0);
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% Rx_Sig_sync.eye(fsym,M,"fignum",4,"displayname",'eye diagram');
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% timing syncroization ??
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% filter Bw
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output = struct();
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vnle_package = {};
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vnle_pf_package = {};
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dbtgt_package = {};
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for s = 1:length(S)
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Rx_Sig_sync = S{s};
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Rx_Sig_sync.spectrum("fignum",3,"displayname",'No Matched Filter','normalizeTo0dB',0);
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mu_ffe = [mu_ffe1 mu_ffe3 mu_ffe3];
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vnle_order=[vnle_order1,vnle_order2,vnle_order3];
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eq_ = EQ("Ne",vnle_order,"Nb",[0,0,0],"training_length",4096*2,"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);
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%%%%% VNLE only (or DFE) %%%%
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if 0
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[result] = vnle(eq_,config.M,Rx_Sig_sync,Tx_symbols,Tx_bits,"precode_mode",db_mode.no_db,"showAnalysis",1,'eth_style',1);
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vnle_package{s} = result;
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end
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%%%%% VNLE + PF + MLSE %%%%
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if 0
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pf_ = Postfilter("ncoeff",1,"useBurg",1);
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mlse_ = MLSE_viterbi("duobinary_output",0,'M',config.M,'trellis_states',PAMmapper(config.M,0).levels);
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doub_mode = db_mode.no_db;
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[result] = vnle_postfilter_mlse(eq_,pf_,mlse_,config.M,Rx_Sig_sync,Tx_symbols,Tx_bits,"precode_mode",doub_mode,'showAnalysis',1,'eth_style_symbol_mapping',1);
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vnle_pf_package{s} = result;
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end
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%%%%% Duobinary Targeting %%%%
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if 1
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mlse_db = MLSE_viterbi("DIR",[1,1],"duobinary_output",0,"M",config.M,"trellis_states",PAMmapper(config.M,0).levels);
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doub_mode = db_mode.db_emulate;
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[result] = duobinary_target(eq_, mlse_db, config.M, Rx_Sig_sync, Tx_symbols, Tx_bits, "precode_mode", doub_mode,'showAnalysis',1,'eth_style_symbol_mapping',1);
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dbtgt_package{s} = result;
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end
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end
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results.vnle_package = vnle_package;
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results.vnle_pf_package = vnle_pf_package;
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results.dbtgt_package = dbtgt_package;
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% Find the HDF5 file in the folder
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files = dir(fullfile(scriptFolder, '*.h5'));
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if isempty(files)
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error('No HDF5 files found in the script folder.');
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end
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% Select the first matching file (modify as needed)
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filename = files(6).name;
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% filename = 'Pmod_8p0023dBm_P_PD_6p4776dBm_W03C34-0409E03_64GBd_2PAM__20250218T181323.h5';
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% Extract parameters from the filename using an updated regex
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tokens = regexp(filename, 'Pmod_([-0-9p]+)dBm_P_PD_([-0-9p]+)dBm_.*?_(\d+)GBd_(\d+)PAM__\d+T\d+', 'tokens');
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if isempty(tokens)
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error('Filename format not recognized.');
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end
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tokens = tokens{1};
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% Convert values
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P_laser = str2double(strrep(tokens{1}, 'p', '.'));
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P_pd = str2double(strrep(tokens{2}, 'p', '.'));
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fsym = str2double(tokens{3}) * 1e9; % Convert GBd to Hz
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M = str2double(tokens{4});
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% Display results
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fprintf('Loaded file: %s\n', filename);
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fprintf('P_laser: %.3f dBm\n', P_laser);
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fprintf('P_pd: %.3f dBm\n', P_pd);
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fprintf('fsym: %.3f Hz\n', fsym);
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fprintf('M: %d\n', M);
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%%% Load Data
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folder = "/Users/silasoettinghaus/Documents/MATLAB/imdd_simulation/projects/Messung_Zürich";
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filepath = fullfile(folder,filename);
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ief_ = h5info(filepath);
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fs_rx = h5readatt(filepath,'/','fs'); %sampling frequency at Rx
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fs_tx = h5readatt(filepath, '/','fs_Tx'); %sampling frequency at Tx
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fsym = h5readatt(filepath, '/','R'); %Baudrate
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M = h5readatt(filepath, '/','M'); % PAM- 'M'
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ROF = h5readatt(filepath, '/','ROF');
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PulseShape =h5readatt(filepath, '/','PulseShape');
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yOrg = h5readatt(filepath, ief_.Groups(4).Groups(1).Name, 'YOrg');
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yInc = h5readatt(filepath, ief_.Groups(4).Groups(1).Name, 'YInc');
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plotDisplayName = sprintf('P_{cw} = %.3f dBm, P_{PD} = %.3f dBm, f_{sym} = %.3f GBd, M = %d', ...
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P_laser, P_pd, fsym / 1e9, M);
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dataRx = double(h5read(filepath, '/Waveforms/Channel 2/Channel 2Data')); % rohdaten des CH4
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bitsTx = h5read(filepath, '/Settings/dataTx'); %Binär
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bitsTx = reshape(bitsTx,log2(M),[])';
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%%% Build Tx Signal (Bits, Pam Map, Symbols)
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Tx_bits = Informationsignal(bitsTx);
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Tx_symbols = PAMmapper(M,0,"eth_style",1).map(Tx_bits);
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Tx_symbols.fs = fsym;
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% Tx_symbols.plot("fignum",1,"displayname",'Rx Signal');
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% Tx_symbols.move_it_spectrum("fignum",2,"displayname",'tx spectrum');
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% Tx_symbols.spectrum("fignum",3,"displayname",'Rx Signal','normalizeTo0dB',0);
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%%% Build Rx Signal (Rx, normalize,remove mean)
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dataRx = dataRx*yInc+yOrg;
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Rx_Sig = Informationsignal(dataRx,"fs",fs_rx);
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Rx_Sig = Rx_Sig.normalize("mode","rms");
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% Rx_Sig.power();
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% Rx_Sig.eye(fsym,M,"fignum",4,"displayname",'eye diagram');
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% Rx_Sig.plot("fignum",5,"displayname",'Rx Signal');
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% Rx_Sig.move_it_spectrum("fignum",6,"displayname",'tx spectrum');
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Rx_Sig.spectrum("fignum",3,"displayname",'Rx Signal','normalizeTo0dB',0);
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%%%%%% Sample to 2x fsym %%%%%%
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Rx_Sig_resamp = Rx_Sig.resample("fs_out",2*fsym);
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%%%%%% Sync Rx signal with reference (S is a cell array with all occurences) %%%%%%
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[Rx_Sig_sync,S,isFlipped] = Rx_Sig_resamp.tsynch("reference",Tx_symbols,"fs_ref",fsym,"debug_plots",0);
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eq_vnle_dfe = 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",1,"ideal_dfe",0);
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[result] = vnle(eq_vnle_dfe,M,Rx_Sig_sync,Tx_symbols,Tx_bits,"precode_mode",db_mode.no_db,"showAnalysis",1,'eth_style',1);
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