More focus on Database analysis and direct DSP'ing of run_id's
This commit is contained in:
Silas Oettinghaus
194
projects/HighSpeedExperiment_2024/auswertung MPI/dsp_run_id.m
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194
projects/HighSpeedExperiment_2024/auswertung MPI/dsp_run_id.m
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function [output] = dsp_run_id(run_id,options)
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arguments
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run_id
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options.append_to_db = 0;
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options.max_occurences = 4;
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options.parameters = struct();
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end
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basePath = 'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\';
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database = DBHandler("pathToDB",[basePath,'silas_labor.db']);
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filterParams = database.tables;
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filterParams.Configurations = struct('run_id', run_id);
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selectedFields = {'Runs.run_id','Runs.tx_bits_path', 'Runs.tx_symbols_path', 'Runs.rx_sync_path','Runs.rx_raw_path',...
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'Configurations.db_mode','Configurations.pam_level','Configurations.bitrate','Configurations.symbolrate','Configurations.fiber_length','Configurations.wavelength','Configurations.precomp_amp','Measurements.power_rop','Configurations.v_bias',...
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'Configurations.interference_attenuation'};
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[dataTable,sql_query] = database.queryDB(filterParams, selectedFields);
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[~, uniqueIdx] = unique(dataTable.run_id); % Get unique run_id indices
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dataTable = dataTable(uniqueIdx,:); % Extract unique configurations for each run_id
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fsym = dataTable.symbolrate;
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M = double(dataTable.pam_level);
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duob_mode = db_mode(dataTable.db_mode);
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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len_tr = 4096*2;
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vnle_order1 = 50;
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vnle_order2 = 5;
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vnle_order3 = 5;
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dfe_order = [0 0 0];
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pf_ncoeffs = 1;
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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_dfe = 0.0004;
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mu_dc = 0.00;
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mu_ffe = [mu_ffe1 mu_ffe2 mu_ffe3];
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vnle_order=[vnle_order1,vnle_order2,vnle_order3];
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% Overwrite default parameters if given in options.parameters
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paramStruct = options.parameters;
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if ~isempty(paramStruct)
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paramNames = fieldnames(paramStruct);
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for i = 1:numel(paramNames)
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thisName = paramNames{i};
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thisValue = paramStruct.(thisName);
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eval([thisName ' = thisValue;']);
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end
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end
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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eq_ = 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);
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pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
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mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
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mlse_db_ = MLSE_viterbi("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels);
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eq_post = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",2001,"sps",1,"decide",0);
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output = struct();
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vnle_pf_package = {};
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vnle_dfe_package = {};
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dbtgt_package = {};
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Tx_bits = load([basePath, char(dataTable.tx_bits_path)]);
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Tx_bits = Tx_bits.Bits;
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Symbols_mapped = PAMmapper(M,0).map(Tx_bits);
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Symbols_mapped.fs = dataTable.symbolrate;
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Symbols = load([basePath, char(dataTable.tx_symbols_path)]);
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Symbols = Symbols.Symbols;
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Scpe_load = load([basePath, char(dataTable.rx_sync_path)]);
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Scpe_cell = Scpe_load.S;
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[~,~,found]=Scpe_cell{2}.tsynch("reference",Symbols,"fs_ref",dataTable.symbolrate,"debug_plots",0);
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if ~found
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Raw_signal = load([basePath, char(dataTable.rx_raw_path(1))]);
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Raw_signal = Raw_signal.Scpe_sig_raw;
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[~,Scpe_cell,found] =Raw_signal.tsynch("reference",Symbols,"fs_ref",dataTable.symbolrate,"debug_plots",0);
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end
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if ~found
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if length(Symbols_mapped.signal) == sum(Symbols_mapped.signal == Symbols.signal)
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warning('Could not synchronize the received signal with the stored symbols!')
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else
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[~,Scpe_cell,found] =Raw_signal.tsynch("reference",Symbols_mapped,"fs_ref",dataTable.symbolrate,"debug_plots",0);
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end
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if ~found
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warning('Could not synchronize the received signal with the stored symbols!')
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end
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end
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proc_occ = min(options.max_occurences,length(Scpe_cell));
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for occ = 1:proc_occ
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Scpe_sig = Scpe_cell{occ};
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%%%%%% Sample to 2x fsym %%%%%%
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Scpe_sig = Scpe_sig.resample("fs_out",2*fsym);
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%%%%%% Sync Rx signal with reference %%%%%%
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[Scpe_sig,~] = Scpe_sig.tsynch("reference",Symbols,"fs_ref",fsym,"debug_plots",0);
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Scpe_sig = Filter('filtdegree',4,"f_cutoff",Symbols.fs.*0.5,"fs",Scpe_sig.fs,"filterType",filtertypes.gaussian,"active",true).process(Scpe_sig);
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Scpe_sig = Scpe_sig - mean(Scpe_sig.signal);
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% Scpe_sig.plot("displayname",'Scope Signal','fignum',11);
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% Scpe_sig.spectrum("displayname",'Raw Signal','fignum',20);
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if duob_mode ~= db_mode.db_encoded
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% %%%%% VNLE + DFE %%%%
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if 0
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eq_vnle_dfe = EQ("Ne",vnle_order,"Nb",[0,0,0],"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",0);
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eq_post = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",2001,"sps",1,"decide",0);
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[result] = vnle(eq_vnle_dfe,M,Scpe_sig,Symbols,Tx_bits,"precode_mode",duob_mode,"showAnalysis",1,"postFFE",[]);
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vnle_dfe_package{occ} = result;
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end
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%%%%% VNLE + PF + MLSE %%%%
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if 1
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[result] = vnle_postfilter_mlse(eq_,pf_,mlse_,M,Scpe_sig,Symbols,Tx_bits,"precode_mode",duob_mode,'showAnalysis',0,"postFFE",[],"eth_style_symbol_mapping",0);
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vnle_pf_package{occ} = result;
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if options.append_to_db
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database.addProcessingResult(run_id,result.resultsMLSE, result.equalizerConfigMLSE);
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database.addProcessingResult(run_id,result.resultsVNLE, result.equalizerConfigVNLE);
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end
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end
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%%%%% Duobinary Targeting %%%%
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if 1
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[result] = duobinary_target(eq_, mlse_db_, M, Scpe_sig, Symbols, Tx_bits, "precode_mode", duob_mode,'showAnalysis',0,"postFFE",[]);
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dbtgt_package{occ} = result;
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if options.append_to_db
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database.addProcessingResult(run_id, result.resultsDBtgt, result.equalizerConfigDBtgt);
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end
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end
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fprintf("BER VNLE: %.2e | %.2e; BER MLSE: %.2e | %.2e; BER DB tgt: %.2e | %.2e \n",vnle_pf_package{occ}.resultsVNLE.BER,vnle_pf_package{occ}.resultsVNLE.BER_precoded ,vnle_pf_package{occ}.resultsMLSE.BER,vnle_pf_package{occ}.resultsMLSE.BER_precoded,dbtgt_package{occ}.resultsDBtgt.BER,dbtgt_package{occ}.resultsDBtgt.BER_precoded)
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% fprintf("BER VNLE: %.2e | %.2e; BER MLSE: %.2e | %.2e \n",vnle_pf_package{occ}.resultsVNLE.BER,vnle_pf_package{occ}.resultsVNLE.BER_precoded ,vnle_pf_package{occ}.resultsMLSE.BER,vnle_pf_package{occ}.resultsMLSE.BER_precoded);
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else
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%%%%%% %db signaling => db encoded %%%%%
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if 1
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mlse_db_enc = MLSE_viterbi("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels);
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eq_db_enc = 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);
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[result] = duobinary_signaling(eq_db_enc, mlse_db_enc,M, Scpe_sig ,Symbols, Tx_bits);
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dbenc_package{occ} = result;
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if options.append_to_db
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database.addProcessingResult(run_id, result.resultsDBsignaling, result.equalizerConfigDBsignaling);
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end
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end
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fprintf("BER DB: %.2e \n",dbenc_package{occ}.resultsDBsignaling.BER);
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end
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% autoArrangeFigures;
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disp('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ')
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fprintf('\n')
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end
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output.dataTable = dataTable;
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output.vnle_dfe_package = vnle_dfe_package;
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output.vnle_pf_package = vnle_pf_package;
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output.dbtgt_package = dbtgt_package;
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end
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