High Speed Auswertung und Database code

projects/HighSpeedExperiment_2024/auswertung/runDSP.m

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+basePath = 'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\';
+db = DBHandler("pathToDB",[basePath,'silas_labor.db']);
+
+%1) Get path info from DB
+filterParams    = db.promptFilterParameters();
+filterParams = db.tables;
+filterParams.Configurations = struct( ...
+    'bitrate',          300e9, ...
+    'db_mode',          0, ...
+    'fiber_length',     10, ...
+    'interference_attenuation', [], ...
+    'interference_path_length', [], ...
+    'is_mpi',           0, ...
+    'pam_level',        4, ...
+    'precomp_amp',      [], ...
+    'rop_attenuation',  0, ...
+    'symbolrate',       [], ...
+    'v_awg',            [], ...
+    'v_bias',           [], ...
+    'wavelength',       1310 ...
+);
+% filterParams.Equalizer.eq_id = 1;
+
+% selectedFields  = db.promptSelectFields();
+selectedFields = {'Runs.run_id','Runs.tx_bits_path', 'Runs.tx_symbols_path', 'Runs.rx_sync_path','Runs.rx_raw_path','Configurations.db_mode'};
+pathTable         = db.getPathsWithFlexibleFilter(filterParams, selectedFields);
+fprintf('Found %d entries for requested Configuration. IDs are: %s \n',size(pathTable,1),jsonencode(pathTable.run_id));
+
+selectedBerFields = {'BERs.ber_id','BERs.run_id','BERs.eq_id'};
+berresult         = db.getPathsWithFlexibleFilter(filterParams, selectedBerFields);
+
+%2) Process
+
+for i = 1:size(pathTable,1)
+
+    tx_bits = load([basePath, char(pathTable.tx_bits_path(i))]);
+    tx_bits = tx_bits.Bits;
+    tx_symbols = load([basePath, char(pathTable.tx_symbols_path(i))]);
+    tx_symbols = tx_symbols.Symbols;
+    rx_sync = load([basePath, char(pathTable.rx_sync_path(i))]);
+    rx_sync = rx_sync.S;
+    %rx_raw = load([basePath, char(result.rx_raw_path(i))]);
+    
+    %2.1) EQ
+    for o = 1:numel(rx_sync)
+        rx_sig = rx_sync{o};
+        switch pathTable.db_mode(i)
+            case 0
+
+                %normal signaling
+                eq_ = 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",0,"ideal_dfe",1);
+                eq_sig = vnle(eq_,rx_sig,tx_symbols);
+
+            case 1
+                %db targeting => less precompensation; pre-coded
+
+            case 2
+                %db signaling => db encoded
+
+        end
+
+        rx_bits = PAMmapper(4,0).demap(eq_sig);
+        [~,~,ber_vnle(o),~] = calc_ber(rx_bits.signal,tx_bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
+
+    end
+
+    %2.2) Store BER to DB Table "BERs" 
+    % structure = ""; % Description or Comment of BER technqiue
+    % settings = EQ;
+    % 
+    % newBer = struct(...
+    %     'ber_id', NaN,...
+    %     'run_id', current_run_id,...
+    %     'processing_structure', structure,...
+    %     'processing_settings', settings,...
+    %     'ber', jsonencode(ber)...
+    %     );
+    % 
+    % db.appendToTable('BERs', newBer);
+end
+
+%3) Look at BER that just ran
+
+
+