Merge branch 'main' of cau-git.rz.uni-kiel.de:nt/mitarbeiter/silas/imdd_simulation

# Conflicts:
#	Classes/DataBaseHandler/DBHandler.m
#	projects/ECOC_2025/dsp_standalone.m
This commit is contained in:
Silas Oettinghaus
2025-04-16 09:56:01 +02:00
6 changed files with 145 additions and 80 deletions

View File

@@ -1,7 +1,5 @@
savePath = 'Z:\2025\ECOC Silas\ecoc_2025\';
fullFolderPath = fullfile(savePath, current_folder);
if ~exist(fullFolderPath, 'dir')
mkdir(fullFolderPath);
@@ -19,19 +17,19 @@ referenceFields = fieldnames(db.tables.Configurations);
assert(isequal(fieldnames(conf), referenceFields), 'Fieldnames do not match the reference structure!');
%% Lab Automation
if run_lab_automation
% DC Source
if confPrev.v_bias ~= conf.v_bias
if (any(confPrev.v_bias ~= conf.v_bias)) || (~exist('dcs','var')) || (isempty(confPrev.v_bias))
dcs = DC_supply("active",[1,1],"voltage",[conf.v_bias, 5]);
dcs.set("voltage",[conf.v_bias, 5]);
[v_bias_meas,i_bias_meas]=dcs.readVals();
end
% Laser
if confPrev.laser_power ~= conf.laser_power
if (any(confPrev.laser_power ~= conf.laser_power)) || (~exist('laser','var')) || (isempty(confPrev.laser_power))
laser = Exfo_laser("mainframe_channel",1,"safety_mode",0,"connection_id",'10','lab_interface','gpib');
laser.setWavelength(conf.wavelength);
laser.setPower(conf.laser_power);
@@ -39,16 +37,24 @@ if run_lab_automation
end
% Optical Attenuator
voa = OptAtten("active",[0,2,1,1],"value",[0,conf.pd_in_desired,conf.signal_attenuation,conf.interference_attenuation],"wavelength",[conf.wavelength,conf.wavelength,conf.wavelength,conf.wavelength]);
if ~exist('voa','var')
voa = OptAtten("active",[1,2,1,1],"value",[0,conf.pd_in_desired,conf.signal_attenuation,conf.interference_attenuation],"wavelength",[conf.wavelength,conf.wavelength,conf.wavelength,conf.wavelength]);
end
voa.set('value',[0,conf.pd_in_desired,conf.signal_attenuation,conf.interference_attenuation]);
if voa.power_state(3) > -24 || voa.power_state(1)+ voa.atten_state(4) > -38
holdAndShowValue
end
% PDFA
pdfa = Thor_PDFA("safety_mode",0,"serialport_number",'COM15');
if ~exist('pdfa','var')
pdfa = Thor_PDFA("safety_mode",0,"serialport_number",'COM15');
end
% Construct AWG and Scope Modules %%%%%%
fdac = 224e9;
fadc = 160e9;
Scp = ScopeKeysight("model","DSAZ634A",'autoscale',1,"fadc","GSa_160","channel",[0,0,1,0],"recordLen",5000000,"removeDC",1,"extRef",1);
Scp = ScopeKeysight("model","DSAZ634A",'autoscale',0,"fadc","GSa_160","channel",[0,0,1,0],"recordLen",recordlen,"removeDC",1,"extRef",1);
Awg = AwgKeysight("model","M8199A_ILV","fdac",fdac,"scaletodac",[1,1],"skews",[0,0],"voltages",[0,conf.v_awg]);
A2S = Awg2Scope(Awg,Scp,[0,0,3,0],"waitUntilClick",0);
@@ -56,12 +62,16 @@ end
%% Signal generation and transmission
if 0% awg_upload_required || isempty(loop_id)
if awg_upload_required || isempty(loop_id)
%%%%% Symbol Generation %%%%%%
Pform = Pulseformer("fsym",conf.symbolrate,"fdac",8*conf.symbolrate,"pulse","rc","pulselength",16,"alpha",conf.pulsef_alpha);
if conf.symbolrate < 64e9
sequence_order = min(18,sequence_order);
end
Pamsource = PAMsource(...
"fsym",conf.symbolrate,"M",conf.pam_level,"order",19,"useprbs",1,...
"fsym",conf.symbolrate,"M",conf.pam_level,"order",sequence_order,"useprbs",1,...
"fs_out",fdac,...
"applyclipping",0,...
"clipfactor",4,...
@@ -69,13 +79,13 @@ if 0% awg_upload_required || isempty(loop_id)
"pulseformer",Pform,...
"randkey",1,...
"duobinary_mode", conf.db_mode);
conf.pam_source = Pamsource;
confPrev = conf;
[Digi_sig,Symbols,Bits] = Pamsource.process();
%%%%% Precompensation Routine %%%%%%
if precomp_mode == 1 % measure channel
precomp_est = ChannelFreqResp("Nacq",2048,"Navg",100,"Ncp",63,'f_ref',fdac);
@@ -84,12 +94,12 @@ if 0% awg_upload_required || isempty(loop_id)
precomp_est = ChannelFreqResp("Nacq",2048,"Navg",100,"Ncp",63,'f_ref',Digi_sig.fs);
Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',conf.precomp_amp,'loadPath',precomp_path,'fileName',precomp_fn);
end
% Digi_sig.spectrum("displayname",'Tx Spectrum','fignum',10,'normalizeTo0dB',0);
%%%%% Resample to DAC rate %%%%%%
Digi_sig = Digi_sig.resample("fs_out",Awg.fdac);
% [~,~,Scpe_sig_raw,~] = A2S.process("signal2",Digi_sig);
Awg.upload("signal2",Digi_sig);
@@ -104,7 +114,6 @@ if precomp_mode == 1
return; % End routine if precomp mode is active
end
%% Save static TX data (only once)
currentTime = datetime('now', 'Format', 'yyyyMMdd_HHmmss');
timeStr = char(currentTime);
@@ -119,8 +128,6 @@ save([savePath, tx_symbols_path], "Symbols");
tx_signal_path = [filesep, current_folder, filesep, base_filename, '_signal'];
save([savePath, tx_signal_path], "Digi_sig");
n_recording = 2; % Or any number you want
for recIdx = 1:n_recording
fprintf('Recording %d / %d\n', recIdx, n_recording);
@@ -167,7 +174,7 @@ for recIdx = 1:n_recording
newRun.date_of_run = datetime(currentTime, 'InputFormat', 'yyyyMMdd_HHmmss');
newRun.tx_bits_path = tx_bits_path;
newRun.tx_symbols_path = tx_symbols_path;
newRun.rx_sync_path = []; % Leave empty for now
newRun.rx_sync_path = ""; % Leave empty for now
newRun.rx_raw_path = rx_raw_path;
newRun.filename = filename;
newRun.tx_signal_path = tx_signal_path;
@@ -197,10 +204,12 @@ for recIdx = 1:n_recording
db.appendToTable('Measurements', meas);
%% Submit DSP Routine
% [out, ~] = submit_dsp(run_id, basePath, database_name, savePath, ...
% "parallel", parallel_dsp, "max_occurences", max_occurences);
%% Submit DSP Routine
if subimt_DSP
[out, a] = submit_dsp(run_id, databasePath, database_name, savePath, ...
"parallel", parallel_dsp, "max_occurences", max_occurences);
end
end

View File

@@ -1,8 +1,20 @@
local = 1;
if local
databasePath = 'C:\Users\sioe\Documents\MATLAB\imdd_simulation\projects\ECOC_2025\';
else
databasePath = '\\ntserver.tf.uni-kiel.de\scratch\sioe\ECOC_2025\';
end
basePath = 'C:\Users\sioe\Documents\MATLAB\imdd_simulation\projects\ECOC_2025\';
database_name = 'ecoc2025_loops.db';
database = DBHandler("pathToDB", [basePath, database_name]);
database = DBHandler("pathToDB", [databasePath, database_name]);
figure();
plotBoundaries = 1;
plotRealizations = 1;
cols = linspecer(3); % Ensure color count matches
% cols = cols(8,:);
filterParams = database.tables;
filterParams.Configurations = struct( ...
@@ -10,7 +22,7 @@ filterParams.Configurations = struct( ...
'fiber_length', 0, ...
'db_mode', '"no_db"', ...
'interference_attenuation', [], ...
'interference_path_length', 50, ...
'interference_path_length', 10, ...
'is_mpi', 1, ...
'pam_level', 4, ...
'wavelength', 1310, ...
@@ -23,8 +35,8 @@ filterParams.Configurations = struct( ...
% filterParams.EqualizerParameters.diff_precode = int32(db_mode.db_encoded);
% filterParams.EqualizerParameters.equalizer_structure = int32(equalizer_structure.vnle);
selectedFields = {'Configurations.run_id' 'Runs.date_of_run' 'Runs.rx_raw_path' 'Configurations.bitrate' 'Configurations.v_bias' 'Configurations.v_awg' 'Configurations.precomp_amp' 'Configurations.symbolrate' 'Configurations.pam_level'...
'Configurations.db_mode' 'Configurations.rop_attenuation' 'Configurations.is_mpi' 'Configurations.interference_attenuation' 'Configurations.signal_attenuation' ...
selectedFields = {'Configurations.run_id' 'Runs.loop_id' 'Runs.date_of_run' 'Runs.rx_raw_path' 'Configurations.bitrate' 'Configurations.v_bias' 'Configurations.v_awg' 'Configurations.precomp_amp' 'Configurations.symbolrate' 'Configurations.pam_level'...
'Configurations.db_mode' 'Configurations.rop_attenuation' 'Configurations.is_mpi' 'Configurations.interference_attenuation' 'Configurations.interference_path_length' 'Configurations.signal_attenuation' ...
'EqualizerParameters.equalizer_structure' 'EqualizerParameters.diff_precode' 'EqualizerParameters.eq_id' 'Measurements.power_pd_in' ...
'Measurements.power_mpi_interference' 'Measurements.power_mpi_signal' 'Results.BER' 'Results.BER_precoded' 'Results.SNR' 'Results.GMI' 'Results.Alpha' 'Results.date_of_processing'};
@@ -32,14 +44,18 @@ selectedFields = {'Configurations.run_id' 'Runs.date_of_run' 'Runs.rx_raw_path'
dataTable.SIR = round(-6 - dataTable.power_mpi_interference);
dataTable = cleanUpTable(dataTable);
% Filter by time
startTime = datetime('2025-04-12 18:00:00', 'InputFormat', 'yyyy-MM-dd HH:mm:ss');
stopTime = datetime('2025-04-13 19:30:00', 'InputFormat', 'yyyy-MM-dd HH:mm:ss');
dataTable.date_of_run = datetime(dataTable.date_of_run, 'InputFormat', 'yyyy-MM-dd HH:mm:ss.SSSSSS');
dataTable.date_of_processing = datetime(dataTable.date_of_processing, 'InputFormat', 'yyyy-MM-dd HH:mm:ss.SSSSSS');
dataTable = dataTable(dataTable.date_of_processing > startTime, :);
dataTable = dataTable(dataTable.date_of_processing < stopTime, :);
dataTable(dataTable.eq_id==0,:) = [];
% Filter by time
filter_by_time = 0;
if filter_by_time
startTime = datetime('2025-04-14 13:00:00', 'InputFormat', 'yyyy-MM-dd HH:mm:ss');
stopTime = datetime('2025-04-14 19:30:00', 'InputFormat', 'yyyy-MM-dd HH:mm:ss');
dataTable.date_of_run = datetime(dataTable.date_of_run, 'InputFormat', 'yyyy-MM-dd HH:mm:ss.SSSSSS');
dataTable.date_of_processing = datetime(dataTable.date_of_processing, 'InputFormat', 'yyyy-MM-dd HH:mm:ss.SSSSSS');
dataTable = dataTable(dataTable.date_of_processing > startTime, :);
dataTable = dataTable(dataTable.date_of_processing < stopTime, :);
end
% Group by smth
y_var = 'BER';
x_var = 'SIR';
@@ -53,16 +69,14 @@ dataTableGrpd_mean = groupIt(fixedVars, dataTable, @mean);
dataTableGrpd_min = groupIt(fixedVars, dataTable, @min);
dataTableGrpd_max = groupIt(fixedVars, dataTable, @max);
plotRealizations = 1;
% Create a new figure
mkr = '.';
figure();
hold on
unique_loop_var = unique(dataTable.(loop_var));
cols = linspecer(numel(unique_loop_var)); % Ensure color count matches
for i = 1:2%1:numel(unique_loop_var)
for i = 1%:numel(unique_loop_var)
% Prepare filtered data for this loop variable
loopValue = unique_loop_var(i);
@@ -86,31 +100,38 @@ for i = 1:2%1:numel(unique_loop_var)
% Display name (optional)
idx = find(dataTable.(loop_var) == loopValue, 1, 'first');
dispname = equalizer_structure(dataTable.equalizer_structure(idx));
dispname = [char(dispname),'; ',num2str(unique(dataTable.interference_path_length)),' m'];
% Plot bounded line
[hl, hp] = boundedline(x_values, y_mean, y_bounds, ...
'alpha', 'transparency', 0.2, ...
'cmap', cols(i,:), ...
'nan', 'fill', ...
'orientation', 'vert');
if plotBoundaries
% Plot bounded line
[hl, hp] = boundedline(x_values, y_mean, y_bounds, ...
'alpha', 'transparency', 0.2, ...
'cmap', cols(i,:), ...
'nan', 'fill', ...
'orientation', 'vert');
% Style the main line: thinnest, dotted, no marker
set(hl, 'LineWidth', 1, 'LineStyle', '-', 'Marker', 'none', ...
'Color', cols(i,:), 'DisplayName', string(dispname));
% Hide patch (shaded area) from legend
set(hp, 'HandleVisibility', 'off','LineStyle',':','LineWidth',0.5,'Marker','none');
% Add invisible scatter for DataTips
plt = scatter(x_values, y_mean, ...
'Marker', 'o', 'MarkerEdgeColor', 'none', 'MarkerFaceColor', 'none', ...
'HandleVisibility', 'off', 'PickableParts', 'all');
else
plt= plot(x_values,y_mean,'LineWidth', 1, 'LineStyle', '-', 'Marker', 'none', ...
'Color', cols(i,:), 'DisplayName', string(dispname));
end
% Add data tips to the invisible scatter
pair_one = {'Run ID', dataTableGrpd_mean.run_id(loopFiltGrpd, :)};
pair_two = {'Rate', dataTableGrpd_mean.bitrate(loopFiltGrpd, :) * 1e-9};
pair_three = {'PD in', round(dataTableGrpd_mean.power_pd_in(loopFiltGrpd, :), 2)};
addDatatips(plt, pair_one, pair_two, pair_three);
% Style the main line: thinnest, dotted, no marker
set(hl, 'LineWidth', 1, 'LineStyle', '-', 'Marker', 'none', ...
'Color', cols(i,:), 'DisplayName', string(dispname));
% Hide patch (shaded area) from legend
set(hp, 'HandleVisibility', 'off','LineStyle',':','LineWidth',0.5,'Marker','none');
% Add invisible scatter for DataTips
sc_fake = scatter(x_values, y_mean, ...
'Marker', 'o', 'MarkerEdgeColor', 'none', 'MarkerFaceColor', 'none', ...
'HandleVisibility', 'off', 'PickableParts', 'all');
% Add data tips to the invisible scatter
pair_one = {'Run ID', dataTableGrpd_mean.run_id(loopFiltGrpd, :)};
pair_two = {'Rate', dataTableGrpd_mean.bitrate(loopFiltGrpd, :) * 1e-9};
pair_three = {'PD in', round(dataTableGrpd_mean.power_pd_in(loopFiltGrpd, :), 2)};
addDatatips(sc_fake, pair_one, pair_two, pair_three);
% Optionally: outline bounds for better visibility (optional)
% hnew = outlinebounds(hl, hp);
@@ -145,6 +166,8 @@ if y_var == 'BER'
ylim([1e-5, 0.1]);
end
xlim([15,50]);
% Enable grid and beautify
grid on;
beautifyBERplot;