Split dsp_runid into run preprocessing and scope DSP pipeline
This commit is contained in:
Silas Oettinghaus
@@ -1,4 +1,4 @@
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function [output] = dsp_runid(run_id, options)
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function output = dsp_runid(run_id, options)
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arguments
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arguments
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run_id
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run_id
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@@ -13,49 +13,60 @@ arguments
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end
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end
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try
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try
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% Initialize output structures
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output = initializeOutput();
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database = [];
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if options.mode == "load_run_id" || options.append_to_db
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database = DBHandler("dataBase", [options.dataBase], "type", options.database_type, ...
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'user', "silas", 'password', "silas", 'server', "134.245.243.254");
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end
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if options.mode == "load_run_id"
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dspInput = preprocessRunId(run_id, database, options);
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elseif options.mode == "load_files"
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dspInput = loadDspInputFromFiles(run_id, options);
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else
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error('dsp_runid:UnsupportedMode', 'Mode "%s" is not supported by the refactored dsp_runid path.', options.mode);
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end
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options.max_occurences = min(options.max_occurences, length(dspInput.Scpe_cell));
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for r = 1:options.max_occurences
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scopeOutput = dsp_scope_signal(dspInput.Scpe_cell{r}, dspInput.Symbols, dspInput.Tx_bits, ...
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"fsym", dspInput.fsym, ...
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"M", dspInput.M, ...
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"duob_mode", dspInput.duob_mode, ...
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"parameters", options.parameters);
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output.ffe_package{r} = scopeOutput.ffe_package;
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output.mlse_package{r} = scopeOutput.mlse_package;
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output.vnle_package{r} = scopeOutput.vnle_package;
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output.dbtgt_package{r} = scopeOutput.dbtgt_package;
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output.dbenc_package{r} = scopeOutput.dbenc_package;
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output.mlmlse_package{r} = scopeOutput.mlmlse_package;
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if options.append_to_db
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appendScopeOutputToDatabase(database, run_id, scopeOutput);
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end
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end
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catch ME
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save('workerError.mat', 'ME');
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rethrow(ME);
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end
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end
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function output = initializeOutput()
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output.ffe_package = {};
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output.ffe_package = {};
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output.mlse_package = {};
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output.mlse_package = {};
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output.vnle_package = {};
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output.vnle_package = {};
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output.dbtgt_package = {};
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output.dbtgt_package = {};
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output.dbenc_package = {};
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output.dbenc_package = {};
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output.mlmlse_package = {};
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output.mlmlse_package = {};
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if options.mode == "load_run_id" || options.append_to_db
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% Initialize database connection
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database = DBHandler("dataBase", [options.dataBase], "type", options.database_type, 'user',"silas","password","silas","server","134.245.243.254");
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if 0
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% 2. Check if an equalizer configuration with the same hash exists
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queryStr = sprintf('SELECT COUNT(DISTINCT eq_id) AS unique_eq_count, COUNT(*) AS entries_for_run FROM `Results` WHERE run_id = %d', run_id);
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existing_results = database.fetch(queryStr);
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if existing_results.unique_eq_count >= 6
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if (existing_results.entries_for_run / existing_results.unique_eq_count) > 5
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return
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end
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end
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end
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end
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end
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function dspInput = loadDspInputFromFiles(run_id, options)
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%#ok<INUSD>
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if options.mode == "load_run_id"
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dataTable = queryRunid(run_id, database);
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fsym = dataTable.symbolrate;
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M = double(dataTable.pam_level);
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duob_mode = db_mode(strrep(dataTable.db_mode,'"',''));
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% if database.checkIfRunExists('Results','run_id',run_id)
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% disp(['Already got at least one reulst for run id: ',num2str(run_id),' '])
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% return
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% end
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% Load and Sync signal data from DB
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[Tx_bits, Symbols, Scpe_cell, ~] = loadAndSyncSignalDataFromDb(dataTable, options);
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elseif options.mode == "load_files"
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Tx_bits = load(options.load_file_path.tx_bits_path);
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Tx_bits = load(options.load_file_path.tx_bits_path);
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Symbols = load(options.load_file_path.tx_symbols_path);
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Symbols = load(options.load_file_path.tx_symbols_path);
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Scpe_sig_raw = load(options.load_file_path.rx_raw_path);
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Scpe_sig_raw = load(options.load_file_path.rx_raw_path);
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@@ -71,249 +82,27 @@ try
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Scpe_sig_resampled = Scpe_sig_raw.resample("fs_in", Scpe_sig_raw.fs, "fs_out", 2*fsym);
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Scpe_sig_resampled = Scpe_sig_raw.resample("fs_in", Scpe_sig_raw.fs, "fs_out", 2*fsym);
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[~, Scpe_cell, ~, found_sync] = Scpe_sig_resampled.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
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[~, Scpe_cell, ~, found_sync] = Scpe_sig_resampled.tsynch("reference", Symbols, "fs_ref", fsym, "debug_plots", 1);
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else
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dspInput = struct();
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dspInput.run_id = run_id;
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% Run quick Simulation
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dspInput.dataTable = table();
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tx_simulation;
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dspInput.Tx_bits = Tx_bits;
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dspInput.Symbols = Symbols;
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dspInput.Scpe_cell = Scpe_cell;
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dspInput.found_sync = found_sync;
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dspInput.fsym = fsym;
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dspInput.M = M;
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dspInput.duob_mode = duob_mode;
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end
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end
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% Handle Settings and argument replacement
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function appendScopeOutputToDatabase(database, run_id, scopeOutput)
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packageNames = fieldnames(scopeOutput);
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len_tr = 4096*2;
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for i = 1:numel(packageNames)
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package = scopeOutput.(packageNames{i});
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ffe_order = [50, 5, 5];
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if isempty(package)
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dfe_order = [0, 0, 0];
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continue
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pf_ncoeffs = 1;
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mu_ffe = [0.0001, 0.0008, 0.001];
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mu_dfe = 0.0004;
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mu_dc = 0.005;
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dc_buffer_len = 1;
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mu_tr = 0;
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mu_dd = 0.05;
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adaption= 1;
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use_dd_mode = 1;
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use_ffe = 0;
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use_dfe = 0;
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use_vnle_mlse = 0;
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use_dbtgt = 0;
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use_dbenc = 0;
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use_ml_mlse = 1;
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addProcessingResultToDatabase = 0;
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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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% Configure equalizers
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options.max_occurences = min(options.max_occurences,length(Scpe_cell));
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for r = 1:options.max_occurences
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%FFE
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% eq_dfe = FFE("epochs_tr",5,"epochs_dd",2,"len_tr",2^13,"mu_dd",mu_dd,"mu_tr",mu_tr,"order",25,"sps",2,"decide",0, "adaption",adaption_method(adaption),"dd_mode",use_dd_mode);
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%
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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_ = MLSE("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,"adaption_technique","lms");
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eq_post = FFE("epochs_tr",5,"epochs_dd",2,"len_tr",2^13,"mu_dd",mu_dd,"mu_tr",mu_tr,"order",25,"sps",2,"decide",0, "adaption",adaption_method(adaption),"dd_mode",use_dd_mode);
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% Duobinary signaling (db encoded)
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mlse_db_enc = MLSE("DIR", [1,1], "duobinary_output", 0, "M", M, "trellis_states", PAMmapper(M,0).levels);
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eq_db_enc = EQ("Ne", ffe_order, "Nb", dfe_order, "training_length", len_tr, ...
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"training_loops", 5, "dd_loops", 5, "K", 2, "DCmu", mu_dc, ...
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"DDmu", [mu_ffe mu_dfe], "DFEmu", 0.005, "FFEmu", 0, "plotfinal", 0, "ideal_dfe", 1);
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% Preprocess signal
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Scpe_sig = preprocessSignal(Scpe_cell{r}, Symbols, fsym);
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Scpe_sig.spectrum("fignum",200,"normalizeTo0dB",1,"displayname",'Rx','addDCoffset',-6);
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Scpe_sig.spectrum("fignum",201,"normalizeTo0dB",0,"displayname",'Rx');
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ylim([-30,3]);
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xlim([-5,100]);
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% Scpe_sig.spectrum("fignum",22233,"normalizeTo0dB",0,"displayname",'Rx');
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% Scpe_sig.eye(fsym,M,"fignum",1024);
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Scpe_sig.signal = Scpe_sig.signal(1:2*Symbols.length);
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Scpe_sig.signal = real(Scpe_sig.signal);
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if duob_mode ~= db_mode.db_encoded
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if use_ffe
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ffe_order = [50, 0, 0];
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eq_dfe = EQ("Ne",ffe_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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ffe_results = ffe(eq_dfe,M,Scpe_sig,Symbols,Tx_bits,...
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"precode_mode",duob_mode,...
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'showAnalysis',0,...
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"postFFE",[],...
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"eth_style_symbol_mapping",0);
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output.ffe_package{r} = ffe_results;
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ffe_results.metrics.print;
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ffe_results.config.equalizer_structure = "ffe";
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if options.append_to_db
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database.addProcessingResult(run_id, ffe_results.metrics, ffe_results.config);
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end
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end
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if use_dfe
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ffe_order = [50, 5, 5];
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eq_dfe = EQ("Ne",ffe_order,"Nb",[2,0,0],"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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dfe_results = ffe(eq_dfe,M,Scpe_sig,Symbols,Tx_bits,...
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"precode_mode",duob_mode,...
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'showAnalysis',0,...
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"postFFE",[],...
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"eth_style_symbol_mapping",0);
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output.ffe_package{r} = dfe_results;
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dfe_results.config.equalizer_structure = "dfe";
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dfe_results.metrics.print;
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if options.append_to_db
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database.addProcessingResult(run_id, dfe_results.metrics, dfe_results.config);
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end
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end
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if use_vnle_mlse
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pf_ncoeffs = 1;
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ffe_order = [50, 5, 5];
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eq_ = EQ("Ne",ffe_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",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",0.0004,"order",[50,5,5],"sps",2,"decide",0);
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pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
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useviterbi = 0;
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if useviterbi
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mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
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else
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if duob_mode == db_mode.no_db && M == 6 %only for PAM-6 and no duobinary precoding, otherwise leads to false sequence estimation
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trellexlusion = 1;
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else
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trellexlusion = 0;
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end
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%state_mode 3 -> stat lvl; state_mode 2 -> use target lvls
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%scale_mode 2 -> mmse adaption
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mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels,'scale_mode',2,'trellis_exclusion',trellexlusion,'trellis_state_mode',2);
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end
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[ffe_results, mlse_results] = vnle_postfilter_mlse(eq_, pf_, mlse_, M, Scpe_sig, Symbols, Tx_bits, ...
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"precode_mode", duob_mode,...
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'showAnalysis', 0, ...
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"postFFE", [],...
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"eth_style_symbol_mapping", 0);
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ffe_results.metrics.print;
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ffe_results.config.equalizer_structure = "vnle";
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mlse_results.metrics.print;
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output.mlse_package{r} = mlse_results;
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output.vnle_package{r} = ffe_results;
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if options.append_to_db
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database.addProcessingResult(run_id, mlse_results.metrics, mlse_results.config);
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database.addProcessingResult(run_id, ffe_results.metrics, ffe_results.config);
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end
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end
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if use_ml_mlse
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%ML-based MLSE (L=2)
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mu_ml = 0.01; training_epochs = 100;
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ml_mlse_equalizer = ML_MLSE("epochs_tr",training_epochs,"epochs_dd",1, ...
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"len_tr",length(Scpe_sig)/4,"mu_dd",mu_ml,"mu_tr",mu_ml,"order",11,"sps",2, ...
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"traceback_depth",128,"L",1,"delta",4,"adaptive_mu",0);
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[ml_mlse_results] = ml_mlse(ml_mlse_equalizer, M, Scpe_sig, Symbols, Tx_bits,"precode_mode",duob_mode);
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output.mlmlse_package{r} = ml_mlse_results;
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if options.append_to_db
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database.addProcessingResult(run_id, ml_mlse_results.metrics, ml_mlse_results.config);
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end
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end
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if use_dbtgt
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useviterbi = 0;
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if useviterbi
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mlse_db_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
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else
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if duob_mode == db_mode.no_db && M == 6 %only for PAM-6 and no duobinary precoding, otherwise leads to false sequence estimation
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trellexlusion = 1;
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else
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trellexlusion = 0;
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end
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mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels,'scale_mode',2,'trellis_exclusion',trellexlusion,'trellis_state_mode',3);
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end
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ffe_order = [50, 5, 5];
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eq_ = EQ("Ne",ffe_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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|
||||||
dbt_results = duobinary_target(eq_, mlse_db_, M, Scpe_sig, Symbols, Tx_bits, ...
|
|
||||||
"precode_mode", duob_mode, ...
|
|
||||||
'showAnalysis', 0,...
|
|
||||||
"postFFE", []);
|
|
||||||
|
|
||||||
dbt_results.metrics.print;
|
|
||||||
|
|
||||||
output.dbtgt_package{r} = dbt_results;
|
|
||||||
|
|
||||||
if options.append_to_db
|
|
||||||
database.addProcessingResult(run_id, dbt_results.metrics, dbt_results.config);
|
|
||||||
end
|
end
|
||||||
|
|
||||||
|
database.addProcessingResult(run_id, package.metrics, package.config);
|
||||||
end
|
end
|
||||||
end
|
end
|
||||||
|
|
||||||
if duob_mode == db_mode.db_encoded
|
|
||||||
|
|
||||||
mlse_db_enc = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
|
|
||||||
mlse_db_enc = MLSE("DIR", [1,1], "duobinary_output", 0, "M", M, "trellis_states", PAMmapper(M,0).levels);
|
|
||||||
|
|
||||||
db_results = duobinary_signaling(eq_db_enc, mlse_db_enc, M, Scpe_sig, Symbols, Tx_bits, "precode_mode",duob_mode, "showAnalysis",0,"postFFE",[]);
|
|
||||||
output.dbenc_package{r} = db_results;
|
|
||||||
if options.append_to_db
|
|
||||||
database.addProcessingResult(run_id, db_results.metrics, db_results.config);
|
|
||||||
end
|
|
||||||
|
|
||||||
end
|
|
||||||
|
|
||||||
|
|
||||||
end
|
|
||||||
|
|
||||||
catch ME
|
|
||||||
save('workerError.mat','ME');
|
|
||||||
rethrow(ME);
|
|
||||||
end
|
|
||||||
|
|
||||||
|
|
||||||
end
|
|
||||||
188
Functions/EQ_structures/dsp_scope_signal.m
Normal file
188
Functions/EQ_structures/dsp_scope_signal.m
Normal file
@@ -0,0 +1,188 @@
|
|||||||
|
function output = dsp_scope_signal(Scpe_sig_raw, Symbols, Tx_bits, options)
|
||||||
|
%DSP_SCOPE_SIGNAL Run the common DSP chain starting from a scope signal.
|
||||||
|
|
||||||
|
arguments
|
||||||
|
Scpe_sig_raw
|
||||||
|
Symbols
|
||||||
|
Tx_bits
|
||||||
|
options.fsym
|
||||||
|
options.M
|
||||||
|
options.duob_mode
|
||||||
|
options.parameters struct = struct()
|
||||||
|
end
|
||||||
|
|
||||||
|
output.ffe_package = [];
|
||||||
|
output.mlse_package = [];
|
||||||
|
output.vnle_package = [];
|
||||||
|
output.dbtgt_package = [];
|
||||||
|
output.dbenc_package = [];
|
||||||
|
output.mlmlse_package = [];
|
||||||
|
|
||||||
|
fsym = options.fsym;
|
||||||
|
M = options.M;
|
||||||
|
duob_mode = options.duob_mode;
|
||||||
|
|
||||||
|
len_tr = 4096*2;
|
||||||
|
|
||||||
|
ffe_order = [50, 5, 5];
|
||||||
|
dfe_order = [0, 0, 0];
|
||||||
|
pf_ncoeffs = 1;
|
||||||
|
mu_ffe = [0.0001, 0.0008, 0.001];
|
||||||
|
mu_dfe = 0.0004;
|
||||||
|
mu_dc = 0.005;
|
||||||
|
dc_buffer_len = 1; %#ok<NASGU>
|
||||||
|
|
||||||
|
mu_tr = 0;
|
||||||
|
mu_dd = 0.05;
|
||||||
|
adaption = 1;
|
||||||
|
use_dd_mode = 1;
|
||||||
|
|
||||||
|
use_ffe = 1;
|
||||||
|
use_dfe = 1;
|
||||||
|
use_vnle_mlse = 0;
|
||||||
|
use_dbtgt = 0;
|
||||||
|
use_dbenc = 0;
|
||||||
|
use_ml_mlse = 0;
|
||||||
|
|
||||||
|
addProcessingResultToDatabase = 0; %#ok<NASGU>
|
||||||
|
|
||||||
|
paramStruct = options.parameters;
|
||||||
|
if ~isempty(paramStruct)
|
||||||
|
paramNames = fieldnames(paramStruct);
|
||||||
|
for i = 1:numel(paramNames)
|
||||||
|
thisName = paramNames{i};
|
||||||
|
thisValue = paramStruct.(thisName);
|
||||||
|
eval([thisName ' = thisValue;']);
|
||||||
|
end
|
||||||
|
end
|
||||||
|
|
||||||
|
pf_ = Postfilter("ncoeff", pf_ncoeffs, "useBurg", 1); %#ok<NASGU>
|
||||||
|
mlse_ = MLSE("duobinary_output", 0, 'M', M, 'trellis_states', PAMmapper(M,0).levels); %#ok<NASGU>
|
||||||
|
|
||||||
|
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,"adaption_technique","lms"); %#ok<NASGU>
|
||||||
|
eq_post = FFE("epochs_tr",5,"epochs_dd",2,"len_tr",2^13,"mu_dd",mu_dd,"mu_tr",mu_tr,"order",25,"sps",2,"decide",0, "adaption",adaption_method(adaption),"dd_mode",use_dd_mode); %#ok<NASGU>
|
||||||
|
|
||||||
|
mlse_db_enc = MLSE("DIR", [1,1], "duobinary_output", 0, "M", M, "trellis_states", PAMmapper(M,0).levels); %#ok<NASGU>
|
||||||
|
eq_db_enc = EQ("Ne", ffe_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);
|
||||||
|
|
||||||
|
Scpe_sig = preprocessSignal(Scpe_sig_raw, Symbols, fsym);
|
||||||
|
Scpe_sig.spectrum("fignum",200,"normalizeTo0dB",1,"displayname",'Rx','addDCoffset',-6);
|
||||||
|
Scpe_sig.spectrum("fignum",201,"normalizeTo0dB",0,"displayname",'Rx');
|
||||||
|
|
||||||
|
ylim([-30,3]);
|
||||||
|
xlim([-5,100]);
|
||||||
|
|
||||||
|
Scpe_sig.signal = Scpe_sig.signal(1:2*Symbols.length);
|
||||||
|
Scpe_sig.signal = real(Scpe_sig.signal);
|
||||||
|
|
||||||
|
if duob_mode ~= db_mode.db_encoded
|
||||||
|
if use_ffe
|
||||||
|
ffe_order = [50, 0, 0];
|
||||||
|
eq_dfe = EQ("Ne",ffe_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);
|
||||||
|
|
||||||
|
ffe_results = ffe(eq_dfe, M, Scpe_sig, Symbols, Tx_bits, ...
|
||||||
|
"precode_mode", duob_mode, ...
|
||||||
|
'showAnalysis', 0, ...
|
||||||
|
"postFFE", [], ...
|
||||||
|
"eth_style_symbol_mapping", 0);
|
||||||
|
|
||||||
|
output.ffe_package = ffe_results;
|
||||||
|
ffe_results.metrics.print;
|
||||||
|
ffe_results.config.equalizer_structure = "ffe";
|
||||||
|
end
|
||||||
|
|
||||||
|
if use_dfe
|
||||||
|
ffe_order = [50, 5, 5];
|
||||||
|
eq_dfe = EQ("Ne",ffe_order,"Nb",[2,0,0],"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);
|
||||||
|
|
||||||
|
dfe_results = ffe(eq_dfe, M, Scpe_sig, Symbols, Tx_bits, ...
|
||||||
|
"precode_mode", duob_mode, ...
|
||||||
|
'showAnalysis', 0, ...
|
||||||
|
"postFFE", [], ...
|
||||||
|
"eth_style_symbol_mapping", 0);
|
||||||
|
|
||||||
|
output.ffe_package = dfe_results;
|
||||||
|
dfe_results.config.equalizer_structure = "dfe";
|
||||||
|
dfe_results.metrics.print;
|
||||||
|
end
|
||||||
|
|
||||||
|
if use_vnle_mlse
|
||||||
|
pf_ncoeffs = 1;
|
||||||
|
ffe_order = [50, 5, 5];
|
||||||
|
eq_ = EQ("Ne",ffe_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",0);
|
||||||
|
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
|
||||||
|
|
||||||
|
useviterbi = 0;
|
||||||
|
if useviterbi
|
||||||
|
mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
|
||||||
|
else
|
||||||
|
if duob_mode == db_mode.no_db && M == 6
|
||||||
|
trellexlusion = 1;
|
||||||
|
else
|
||||||
|
trellexlusion = 0;
|
||||||
|
end
|
||||||
|
|
||||||
|
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels,'scale_mode',2,'trellis_exclusion',trellexlusion,'trellis_state_mode',2);
|
||||||
|
end
|
||||||
|
|
||||||
|
[ffe_results, mlse_results] = vnle_postfilter_mlse(eq_, pf_, mlse_, M, Scpe_sig, Symbols, Tx_bits, ...
|
||||||
|
"precode_mode", duob_mode, ...
|
||||||
|
'showAnalysis', 0, ...
|
||||||
|
"postFFE", [], ...
|
||||||
|
"eth_style_symbol_mapping", 0);
|
||||||
|
|
||||||
|
ffe_results.metrics.print;
|
||||||
|
ffe_results.config.equalizer_structure = "vnle";
|
||||||
|
mlse_results.metrics.print;
|
||||||
|
|
||||||
|
output.mlse_package = mlse_results;
|
||||||
|
output.vnle_package = ffe_results;
|
||||||
|
end
|
||||||
|
|
||||||
|
if use_ml_mlse
|
||||||
|
mu_ml = 0.01;
|
||||||
|
training_epochs = 100;
|
||||||
|
ml_mlse_equalizer = ML_MLSE("epochs_tr",training_epochs,"epochs_dd",1, ...
|
||||||
|
"len_tr",length(Scpe_sig)/4,"mu_dd",mu_ml,"mu_tr",mu_ml,"order",11,"sps",2, ...
|
||||||
|
"traceback_depth",128,"L",1,"delta",4,"adaptive_mu",0);
|
||||||
|
|
||||||
|
ml_mlse_results = ml_mlse(ml_mlse_equalizer, M, Scpe_sig, Symbols, Tx_bits, "precode_mode", duob_mode);
|
||||||
|
output.mlmlse_package = ml_mlse_results;
|
||||||
|
end
|
||||||
|
|
||||||
|
if use_dbtgt
|
||||||
|
useviterbi = 0;
|
||||||
|
if useviterbi
|
||||||
|
mlse_db_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
|
||||||
|
else
|
||||||
|
if duob_mode == db_mode.no_db && M == 6
|
||||||
|
trellexlusion = 1;
|
||||||
|
else
|
||||||
|
trellexlusion = 0;
|
||||||
|
end
|
||||||
|
mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels,'scale_mode',2,'trellis_exclusion',trellexlusion,'trellis_state_mode',3);
|
||||||
|
end
|
||||||
|
|
||||||
|
ffe_order = [50, 5, 5];
|
||||||
|
eq_ = EQ("Ne",ffe_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);
|
||||||
|
|
||||||
|
dbt_results = duobinary_target(eq_, mlse_db_, M, Scpe_sig, Symbols, Tx_bits, ...
|
||||||
|
"precode_mode", duob_mode, ...
|
||||||
|
'showAnalysis', 0, ...
|
||||||
|
"postFFE", []);
|
||||||
|
|
||||||
|
dbt_results.metrics.print;
|
||||||
|
output.dbtgt_package = dbt_results;
|
||||||
|
end
|
||||||
|
end
|
||||||
|
|
||||||
|
if duob_mode == db_mode.db_encoded
|
||||||
|
mlse_db_enc = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels); %#ok<NASGU>
|
||||||
|
mlse_db_enc = MLSE("DIR", [1,1], "duobinary_output", 0, "M", M, "trellis_states", PAMmapper(M,0).levels);
|
||||||
|
|
||||||
|
db_results = duobinary_signaling(eq_db_enc, mlse_db_enc, M, Scpe_sig, Symbols, Tx_bits, "precode_mode",duob_mode, "showAnalysis",0,"postFFE",[]);
|
||||||
|
output.dbenc_package = db_results;
|
||||||
|
end
|
||||||
|
end
|
||||||
36
Functions/Job_Processing/preprocessRunId.m
Normal file
36
Functions/Job_Processing/preprocessRunId.m
Normal file
@@ -0,0 +1,36 @@
|
|||||||
|
function dspInput = preprocessRunId(run_id, database, options)
|
||||||
|
%PREPROCESSRUNID Load one run_id and prepare the canonical DSP input.
|
||||||
|
|
||||||
|
arguments
|
||||||
|
run_id
|
||||||
|
database
|
||||||
|
options struct
|
||||||
|
end
|
||||||
|
|
||||||
|
dataTable = queryRunid(run_id, database);
|
||||||
|
[Tx_bits, Symbols, Scpe_cell, found_sync] = loadAndSyncSignalDataFromDb(dataTable, options);
|
||||||
|
|
||||||
|
dspInput = struct();
|
||||||
|
dspInput.run_id = run_id;
|
||||||
|
dspInput.dataTable = dataTable;
|
||||||
|
dspInput.Tx_bits = Tx_bits;
|
||||||
|
dspInput.Symbols = Symbols;
|
||||||
|
dspInput.Scpe_cell = Scpe_cell;
|
||||||
|
dspInput.found_sync = found_sync;
|
||||||
|
dspInput.fsym = dataTable.symbolrate;
|
||||||
|
dspInput.M = double(dataTable.pam_level);
|
||||||
|
dspInput.duob_mode = parseDbMode(dataTable.db_mode);
|
||||||
|
end
|
||||||
|
|
||||||
|
function mode = parseDbMode(rawMode)
|
||||||
|
if isnumeric(rawMode)
|
||||||
|
mode = db_mode(rawMode);
|
||||||
|
return
|
||||||
|
end
|
||||||
|
|
||||||
|
if iscell(rawMode)
|
||||||
|
rawMode = rawMode{1};
|
||||||
|
end
|
||||||
|
|
||||||
|
mode = db_mode(strrep(string(rawMode), '"', ''));
|
||||||
|
end
|
||||||
Reference in New Issue
Block a user