Many changes here and there. I lost track... :-(
Current work is on MLSE and SD Decoding etc. MLSE is currently not 100% working, the scalings are maybe off?!
This commit is contained in:
Silas Oettinghaus
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database_type = 'mysql';
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dataBase = 'labor_highspeed';%'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\silas_labor_newdsp_newstructure.db';
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db = DBHandler("dataBase", [dataBase], "type", database_type);
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fp = QueryFilter();
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% fp.where('Runs', 'run_id','EQUALS', 987);
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M = 6;
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fp.where('Runs', 'pam_level','EQUALS', M);
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baudrate = 162e9;
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fp.where('Runs', 'symbolrate','EQUALS', baudrate);
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% fp.where('Runs', 'fiber_length','EQUALS', 2);
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fp.where('Runs', 'is_mpi','EQUALS', 0);
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% fp.where('Runs', 'interference_path_length','EQUALS', 1000);
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% fp.where('Runs', 'loop_id','GREATER_THAN', 11);
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% fp.where('Runs', 'sir','EQUALS',18);
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% fp.where('Runs', 'wavelength','EQUALS', 1310);
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fp.where('Runs', 'db_mode','EQUALS', 1); % 0 == high preemphasis // 1 == low preemphasis
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fp.where('Runs', 'rop_attenuation','EQUALS', 0);
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fields = db.getTableFieldNames('power_state_info');
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fields = [fields; db.getTableFieldNames('dashboard_ungrouped')];
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[dataTable,~] = db.queryDB(fp, fields);
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eqstructures = unique(dataTable.equalizer_structure);
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fiber_len = unique(dataTable.fiber_length);
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cnt = 1;
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f=figure();
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clf
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hold on
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markers = {'o', 's', 'd', '^', 'v', '>', '<', 'p', 'h'}; % Define marker styles
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for fl = 1:numel(fiber_len)
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fl_filtered = dataTable(dataTable.fiber_length == fiber_len(fl),:);
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for eqs = [equalizer_structure.vnle_pf_mlse]
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eq_choice = equalizer_structure(eqs);
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if sum(eqstructures == eq_choice)~=1
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disp(eq_choice)
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continue
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end
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eq_filtered = fl_filtered(fl_filtered.equalizer_structure == eq_choice,:);
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dispersion_sorted = sortrows(eq_filtered, {'accumulated_dispersion'}, 'ascend');
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% dispersion_sorted = dispersion_sorted(dispersion_sorted.wavelength <= 1320,:);
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% dispersion_sorted = dispersion_sorted(dispersion_sorted.BER < 0.02,:);
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% pull out your vectors
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accumulated_dispersion = dispersion_sorted.accumulated_dispersion;
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ber = dispersion_sorted.BER;
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% ber = dispersion_sorted.BER_precoded;
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run_ids = dispersion_sorted.run_id; % <-- this is what we want in the datatip
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len = dispersion_sorted.fiber_length;
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lambda = dispersion_sorted.wavelength;
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cols = cbrewer2('Set1',8);
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% cols = flip(cbrewer2('RdYlGn',14));
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cols = linspecer(8);
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ber_wavelen_grouped = groupsummary( ...
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dispersion_sorted, ... % input table
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"wavelength", ... % grouping variable
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"min", ... % which summary statistic
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"BER_precoded");
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dname = sprintf('%s; %d km',eq_choice, fiber_len(fl));
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h1 = plot(ber_wavelen_grouped.wavelength, ber_wavelen_grouped.min_BER_precoded,'LineWidth', 2, 'MarkerSize', 5,'Marker',markers(cnt),'LineStyle','-','Color',cols(cnt,:),'MarkerEdgeColor','auto','MarkerFaceColor','white','DisplayName',dname);
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plotallscatters=0;
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if plotallscatters
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% plot the two curves and capture their Line handles
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dname = sprintf('%s; %d km',eq_choice, fiber_len(fl));
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h1 = plot(lambda, ber,'LineWidth', 1.5, 'MarkerSize', 5,'Marker','o','LineStyle','none','Color',cols(cnt,:),'MarkerFaceColor',cols(cnt,:),'DisplayName',dname);
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% —————— Add run_id as a datatip row ——————
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% For each line, tell the datatip template where to find the run_id:
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h1.DataTipTemplate.DataTipRows(end+1) = ...
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dataTipTextRow('run\_id', run_ids);
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h1.DataTipTemplate.DataTipRows(end+1) = ...
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dataTipTextRow('len', len);
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h1.DataTipTemplate.DataTipRows(end+1) = ...
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dataTipTextRow('lambda', lambda);
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end
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xticks(sort(unique(lambda)));
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xticklabels(sort(unique(lambda)));
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grid on;
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% Labels, scales, legend, etc.
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xlabel('Wavelength in nm','FontSize',12);
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ylabel('BER','FontSize',12);
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tit = sprintf('%d GBd PAM-%d',baudrate.*1e-9, M);
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title(tit,'FontSize',14,'FontWeight','bold');
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set(gca, 'XScale','linear','YScale','log','FontSize',11);
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legend
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xlim([min(lambda)-2, max(lambda)+2]);
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ylim([1e-4, 0.2]);
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cnt = cnt+1;
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end
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end
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yline([4.85e-3, 2e-2],'--','LineWidth',1,'HandleVisibility','off');
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posH = get(f, 'Position'); % [left, bottom, width, height]
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newPos = [posH(1), posH(2), 750, 300];
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set(f, 'Position', newPos);
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@@ -0,0 +1,86 @@
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database_type = 'mysql';
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dataBase = 'labor_highspeed';%'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\silas_labor_newdsp_newstructure.db';
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db = DBHandler("dataBase", [dataBase], "type", database_type);
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fp = QueryFilter();
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% fp.where('Runs', 'run_id','EQUALS', 987);
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M = 8;
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fp.where('Runs', 'pam_level','EQUALS', M);
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% fp.where('Runs', 'bitrate','LESS_THAN', 310e9);
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fp.where('Runs', 'fiber_length','EQUALS', 2);
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fp.where('Runs', 'is_mpi','EQUALS', 0);
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% fp.where('Runs', 'interference_path_length','EQUALS', 1000);
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% fp.where('Runs', 'loop_id','GREATER_THAN', 11);
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% fp.where('Runs', 'sir','EQUALS',18);
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fp.where('Runs', 'wavelength','EQUALS', 1310);
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% fp.where('Runs', 'db_mode','EQUALS', 1);
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fp.where('Runs', 'rop_attenuation','EQUALS', 0);
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% [dataTable,~] = db.queryDB(fp, db.getTableFieldNames('dashboard'));
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eqstructures = unique(dataTable.equalizer_structure);
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% Create the figure
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figure(10);
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hold on
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for pre_emph = [1]
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dbmode_filtered = dataTable(dataTable.db_mode == ~pre_emph,:);
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for eqs = [equalizer_structure.vnle, equalizer_structure.vnle_pf_mlse , equalizer_structure.vnle_db_mlse]
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eq_choice = equalizer_structure(eqs);
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if sum(eqstructures == eq_choice)~=1
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disp(eq_choice)
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continue
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end
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eq_filtered = dbmode_filtered(dbmode_filtered.equalizer_structure == eq_choice,:);
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symbolrate_sorted = sortrows(eq_filtered,{'symbolrate','min_BER_precoded'}, 'ascend');
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[~, ia] = unique(symbolrate_sorted.symbolrate, 'first');
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symbolrate_sorted = symbolrate_sorted(ia, :);
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% Example data (replace these with your real vectors)
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symbolrate = symbolrate_sorted.symbolrate.*1e-9; % in baud
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bitrate = symbolrate * floor(log2(M)*10)/10;
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ber = symbolrate_sorted.min_BER; % BER
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ber_precoded = symbolrate_sorted.min_BER_precoded; % BER
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cols = cbrewer2('Paired',12);
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cols = [0.4660 0.6740 0.1880 ; 0.9290 0.6940 0.1250 ; 0 0.4470 0.7410; 0.4940 0.1840 0.5560]; %VNLE; PF ; DFE ; DB tgt
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dname = [char(eq_choice)];
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if pre_emph
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dname = [dname,' with pre-emph.'];
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else
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dname = [dname,' w/o pre-emph.'];
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end
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plot(bitrate, ber, 'LineWidth', 1.5, 'MarkerSize', 5,'Marker','o','LineStyle','-','Color',cols((2*eqs)+1+pre_emph,:),'MarkerEdgeColor',cols((2*eqs)+1+pre_emph,:),'MarkerFaceColor',[1,1,1],'DisplayName',[dname]);
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plot(bitrate, ber_precoded, 'LineWidth', 1.5, 'MarkerSize', 5,'Marker','square','LineStyle',':','Color',cols((2*eqs)+1+pre_emph,:),'MarkerEdgeColor',cols((2*eqs)+1+pre_emph,:),'MarkerFaceColor',[1,1,1],'DisplayName',[dname,'; pre-coded']);
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grid on;
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% Axis labels and title
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xlabel('Baud Rate GBaud', 'FontSize', 12);
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ylabel('BER', 'FontSize', 12);
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title('BER vs. Baud Rate', 'FontSize', 14, 'FontWeight', 'bold');
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% Improve tick formatting
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set(gca, 'XScale', 'linear', ...
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'YScale', 'log', ...
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'TickLabelInterpreter', 'latex', ...
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'FontSize', 11);
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legend
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xticks(bitrate);
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% Optional: tighten axis limits
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xlim([min(bitrate), max(bitrate)]);
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ylim([5e-5, 0.5]);
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end
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end
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yline([4.85e-3, 2e-2],'LineWidth',1,'LineStyle','--','HandleVisibility','off'); beautifyBERplot();
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@@ -0,0 +1,117 @@
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database_type = 'mysql';
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dataBase = 'labor_highspeed';%'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\silas_labor_newdsp_newstructure.db';
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db = DBHandler("dataBase", [dataBase], "type", database_type);
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fp = QueryFilter();
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% fp.where('Runs', 'run_id','EQUALS', 987);
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M = 8;
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fp.where('Runs', 'pam_level','EQUALS', M);
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% fp.where('Runs', 'bitrate','LESS_THAN', 310e9);
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fp.where('Runs', 'fiber_length','EQUALS', 2);
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fp.where('Runs', 'is_mpi','EQUALS', 0);
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% fp.where('Runs', 'interference_path_length','EQUALS', 1000);
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% fp.where('Runs', 'loop_id','GREATER_THAN', 11);
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% fp.where('Runs', 'sir','EQUALS',18);
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fp.where('Runs', 'wavelength','EQUALS', 1310);
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% fp.where('Runs', 'db_mode','EQUALS', 1);
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fp.where('Runs', 'rop_attenuation','EQUALS', 0);
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[dataTable,~] = db.queryDB(fp, db.getTableFieldNames('dashboard'));
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eqstructures = unique(dataTable.equalizer_structure);
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% Create the figure
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f=figure(4);
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hold on
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eqs = [equalizer_structure.vnle, equalizer_structure.vnle_pf_mlse , equalizer_structure.vnle_db_mlse];
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cols = [0.4660 0.6740 0.1880 ; 0.9290 0.6940 0.1250 ; 0 0.4470 0.7410; 0.4940 0.1840 0.5560]; %VNLE; PF ; DFE ; DB tgt
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eq_choice = equalizer_structure.vnle;
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pre_emph = 1;
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dbmode_filtered = dataTable(dataTable.db_mode == ~pre_emph,:);
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eq_filtered = dbmode_filtered(dbmode_filtered.equalizer_structure == eq_choice,:);
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symbolrate_sorted = sortrows(eq_filtered,{'symbolrate','min_BER_precoded'}, 'ascend');
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[~, ia] = unique(symbolrate_sorted.symbolrate, 'first');
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symbolrate_sorted = symbolrate_sorted(ia, :);
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symbolrate = symbolrate_sorted.symbolrate.*1e-9; % in baud
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bitrate = symbolrate * floor(log2(M)*10)/10;
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ber = symbolrate_sorted.min_BER; % BER
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ber_precoded = symbolrate_sorted.min_BER_precoded; % BER
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plot(bitrate, ber, 'LineWidth', 1.5, 'MarkerSize', 5,'Marker','v','LineStyle',':','Color',cols(1,:),'MarkerEdgeColor',cols(1,:),'MarkerFaceColor',cols(1,:),'DisplayName',['Tx pre-emphasis + VNLE']);
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eq_choice = equalizer_structure.vnle_pf_mlse;
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pre_emph = 0;
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dbmode_filtered = dataTable(dataTable.db_mode == ~pre_emph,:);
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eq_filtered = dbmode_filtered(dbmode_filtered.equalizer_structure == eq_choice,:);
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symbolrate_sorted = sortrows(eq_filtered,{'symbolrate','min_BER_precoded'}, 'ascend');
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[~, ia] = unique(symbolrate_sorted.symbolrate, 'first');
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symbolrate_sorted = symbolrate_sorted(ia, :);
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symbolrate = symbolrate_sorted.symbolrate.*1e-9; % in baud
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bitrate = symbolrate * floor(log2(M)*10)/10;
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ber = symbolrate_sorted.min_BER; % BER
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ber_precoded = symbolrate_sorted.min_BER_precoded; % BER
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plot(bitrate, ber, 'LineWidth', 1.5, 'MarkerSize', 5,'Marker','diamond','LineStyle',':','Color',cols(2,:),'MarkerEdgeColor',cols(2,:),'MarkerFaceColor',cols(2,:),'DisplayName',['VNLE+2-tap post-filter+MLSE']);
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% eq_choice = equalizer_structure.dfe;
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% pre_emph = 1;
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% dbmode_filtered = dataTable(dataTable.db_mode == ~pre_emph,:);
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% eq_filtered = dbmode_filtered(dbmode_filtered.equalizer_structure == eq_choice,:);
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% symbolrate_sorted = sortrows(eq_filtered,{'symbolrate','min_BER_precoded'}, 'ascend');
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% [~, ia] = unique(symbolrate_sorted.symbolrate, 'first');
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% symbolrate_sorted = symbolrate_sorted(ia, :);
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% symbolrate = symbolrate_sorted.symbolrate.*1e-9; % in baud
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% bitrate = symbolrate * floor(log2(M)*10)/10;
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% ber = symbolrate_sorted.min_BER; % BER
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% ber_precoded = symbolrate_sorted.min_BER_precoded; % BER
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% plot(bitrate, ber, 'LineWidth', 1.5, 'MarkerSize', 5,'Marker','o','LineStyle','-','Color',cols(3,:),'MarkerEdgeColor',cols(3,:),'MarkerFaceColor',cols(3,:),'DisplayName',[char(eq_choice)]);
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eq_choice = equalizer_structure.vnle_db_mlse;
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pre_emph = 0;
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dbmode_filtered = dataTable(dataTable.db_mode == ~pre_emph,:);
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eq_filtered = dbmode_filtered(dbmode_filtered.equalizer_structure == eq_choice,:);
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symbolrate_sorted = sortrows(eq_filtered,{'symbolrate','min_BER_precoded'}, 'ascend');
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[~, ia] = unique(symbolrate_sorted.symbolrate, 'first');
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symbolrate_sorted = symbolrate_sorted(ia, :);
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symbolrate = symbolrate_sorted.symbolrate.*1e-9; % in baud
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bitrate = symbolrate * floor(log2(M)*10)/10;
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ber = symbolrate_sorted.min_BER; % BER
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ber_precoded = symbolrate_sorted.min_BER_precoded; % BER
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plot(bitrate, ber_precoded, 'LineWidth', 1.5, 'MarkerSize', 5,'Marker','square','LineStyle',':','Color',cols(4,:),'MarkerEdgeColor',cols(4,:),'MarkerFaceColor',cols(4,:),'DisplayName',['DB precoding + DB tgt. + MLSE']);
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% Axis labels and title with Arial font
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xlabel('Gross bitrate [Gb/s]', 'FontSize', 12, 'FontName', 'Arial', 'Interpreter', 'none');
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ylabel('BER', 'FontSize', 12, 'FontName', 'Arial', 'Interpreter', 'none');
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title('', 'FontSize', 14, 'FontWeight', 'bold', 'FontName', 'Arial', 'Interpreter', 'none');
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% Improve tick formatting
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set(gca, 'XScale', 'linear', ...
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'YScale', 'log', ...
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'TickLabelInterpreter', 'none', ...
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'FontSize', 11, ...
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'FontName', 'Arial');
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% Legend with Arial font
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% legend('FontName', 'Arial', 'Interpreter', 'none','Location','best');
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xticks(bitrate);
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% Optional: tighten axis limits
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xlim([min(bitrate), max(bitrate)]);
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ylim([5e-4, 0.05]);
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yline([3.8e-3], 'LineWidth', 2, 'LineStyle', '--', ...
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'HandleVisibility', 'off', 'LabelHorizontalAlignment', 'left');
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posH = get(f, 'Position'); % [left, bottom, width, height]
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newPos = [posH(1), posH(2), 350, 200];
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set(f, 'Position', newPos);
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annotation(f,'textbox',...
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[0.398095238095238 0.273381294964029 0.491428571428572 0.140287769784173],...
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'String',{'PAM-8; 2 km; 1293 nm'},...
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'LineWidth',0.5,...
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'FitBoxToText','off',...
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'BackgroundColor',[1 1 1]);
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@@ -0,0 +1,84 @@
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database_type = 'mysql';
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dataBase = 'labor_highspeed';%'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\silas_labor_newdsp_newstructure.db';
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db = DBHandler("dataBase", [dataBase], "type", database_type);
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M = 8;
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fp = QueryFilter();
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% fp.where('Runs', 'run_id','EQUALS', 987);
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fp.where('Runs', 'pam_level','EQUALS', M);
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% fp.where('Runs', 'symbolrate','EQUALS', 165e9);
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fp.where('Runs', 'fiber_length','EQUALS', 2);
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fp.where('Runs', 'is_mpi','EQUALS', 0);
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% fp.where('Runs', 'interference_path_length','EQUALS', 1000);
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% fp.where('Runs', 'loop_id','GREATER_THAN', 11);
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% fp.where('Runs', 'sir','EQUALS',18);
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fp.where('Runs', 'wavelength','EQUALS', 1310);
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% fp.where('Runs', 'db_mode','EQUALS', 1); % 0 == high preemphasis // 1 == low preemphasis
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fp.where('Runs', 'rop_attenuation','EQUALS', 0);
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[dataTable,~] = db.queryDB(fp, db.getTableFieldNames('dashboard'));
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eqstructures = unique(dataTable.equalizer_structure);
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% Create the figure
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figure(18);
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hold on
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for pre_emph = [0,1]
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dbmode_filtered = dataTable(dataTable.db_mode == ~pre_emph,:);
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for eqs = [equalizer_structure.vnle]
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eq_choice = equalizer_structure(eqs);
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if sum(eqstructures == eq_choice)~=1
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disp(eq_choice)
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continue
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end
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eq_filtered = dbmode_filtered(dbmode_filtered.equalizer_structure == eq_choice,:);
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if eqs ==equalizer_structure.vnle_pf_mlse
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eq_filtered = eq_filtered(eq_filtered.DIR == "1",:);
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end
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symbolrate_sorted = sortrows(eq_filtered,{'symbolrate'}, 'ascend');
|
||||
|
||||
% Example data (replace these with your real vectors)
|
||||
symbolrate = symbolrate_sorted.symbolrate.*1e-9; % in baud
|
||||
bitrate = symbolrate * 2;
|
||||
gmi = symbolrate_sorted.max_GMI; % BER
|
||||
snr = symbolrate_sorted.max_SNR; % BER
|
||||
cols = cbrewer2('Paired',12);
|
||||
|
||||
dname = [char(eq_choice)];
|
||||
dname = strrep(dname,'_','+');
|
||||
if pre_emph
|
||||
dname = [dname,'; w/ pre-emph.'];
|
||||
else
|
||||
dname = [dname,'; w/o pre-emph.'];
|
||||
end
|
||||
|
||||
plot(symbolrate, snr, 'LineWidth', 1.5, 'MarkerSize', 5,'Marker','o','LineStyle','-','Color',cols((2*eqs)+1+pre_emph,:),'MarkerEdgeColor',cols((2*eqs)+1+pre_emph,:),'MarkerFaceColor',[1,1,1],'DisplayName',[dname]);
|
||||
grid on;
|
||||
|
||||
% Axis labels and title
|
||||
xlabel('Bit Rate Gbps', 'FontSize', 12);
|
||||
ylabel('GMI', 'FontSize', 12);
|
||||
title('GMI vs. Bit Rate', 'FontSize', 14, 'FontWeight', 'bold');
|
||||
|
||||
% Improve tick formatting
|
||||
set(gca, 'XScale', 'linear', ...
|
||||
'YScale', 'linear', ...
|
||||
'TickLabelInterpreter', 'none', ...
|
||||
'FontSize', 11);
|
||||
legend
|
||||
|
||||
xticks(symbolrate);
|
||||
|
||||
% Optional: tighten axis limits
|
||||
xlim([min(symbolrate), max(symbolrate)]);
|
||||
% ylim([log2(M)-1, log2(M)]);
|
||||
|
||||
end
|
||||
|
||||
end
|
||||
@@ -0,0 +1,96 @@
|
||||
|
||||
database_type = 'mysql';
|
||||
dataBase = 'labor_highspeed';%'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\silas_labor_newdsp_newstructure.db';
|
||||
db = DBHandler("dataBase", [dataBase], "type", database_type);
|
||||
|
||||
fp = QueryFilter();
|
||||
fp.where('power_state_info', 'pam_level','EQUALS', 4);
|
||||
fp.where('power_state_info', 'db_mode','EQUALS', 1);
|
||||
% fp.where('power_state_info', 'fiber_length','EQUALS', 1);
|
||||
fp.where('power_state_info', 'is_mpi','EQUALS', 0);
|
||||
|
||||
fields = db.getTableFieldNames('power_state_info');
|
||||
% [dataTable,~] = db.queryDB(fp, fields);
|
||||
|
||||
fiber_len = unique(dataTable.fiber_length);
|
||||
cnt = 0;
|
||||
|
||||
y_variable = 'power_mzm';
|
||||
x_variable = "wavelength";
|
||||
f = figure(3);
|
||||
clf
|
||||
hold on
|
||||
for fl = 1:numel(fiber_len)
|
||||
|
||||
|
||||
fl_filtered = dataTable(dataTable.fiber_length == fiber_len(fl),:);
|
||||
[~, ia] = unique(fl_filtered.run_id, 'first');
|
||||
fl_filtered = fl_filtered(ia, :);
|
||||
|
||||
fl_filtered_ = groupsummary( ...
|
||||
fl_filtered, ... % input table
|
||||
x_variable, ... % grouping variable
|
||||
"mean", ... % which summary statistic
|
||||
y_variable); % which column to average
|
||||
|
||||
wavelength_sorted = sortrows(fl_filtered, {'wavelength'}, 'ascend');
|
||||
|
||||
% pull out your vectors
|
||||
lambda = wavelength_sorted.wavelength;
|
||||
power_laser = wavelength_sorted.power_laser;
|
||||
power_mzm = wavelength_sorted.power_mzm;
|
||||
power_rop = wavelength_sorted.power_rop;
|
||||
power_pd = wavelength_sorted.power_pd_in;
|
||||
voa = wavelength_sorted.voa_atten;
|
||||
len = wavelength_sorted.fiber_length;
|
||||
run_ids = wavelength_sorted.run_id; % <-- this is what we want in the datatip
|
||||
cols = linspecer(8);
|
||||
|
||||
|
||||
% plot the two curves and capture their Line handles
|
||||
% h1 = plot(lambda, power_laser,'LineWidth', 0.5, 'MarkerSize', 4,'Marker','o','LineStyle','none','Color',cols(fl,:),'MarkerFaceColor',cols(fl,:),'DisplayName','Laser Output');
|
||||
% % —————— Add run_id as a datatip row ——————
|
||||
% % For each line, tell the datatip template where to find the run_id:
|
||||
% h1.DataTipTemplate.DataTipRows(end+1) = ...
|
||||
% dataTipTextRow('run\_id', run_ids);
|
||||
% h1.DataTipTemplate.DataTipRows(end+1) = ...
|
||||
% dataTipTextRow('len', run_ids);
|
||||
% h1.DataTipTemplate.DataTipRows(end+1) = ...
|
||||
% dataTipTextRow('voaatten', voa);
|
||||
|
||||
%
|
||||
dname = sprintf('%s; %d km',y_variable, fiber_len(fl));
|
||||
h2 = plot(fl_filtered_.(x_variable), fl_filtered_.(['mean_',y_variable]), 'LineWidth', 1, 'MarkerSize', 4,'Marker','o','LineStyle','-','Color',cols(fl,:),'MarkerFaceColor',cols(fl,:),'DisplayName',dname);
|
||||
|
||||
h2.DataTipTemplate.DataTipRows(end+1) = ...
|
||||
dataTipTextRow('run\_id', run_ids);
|
||||
h2.DataTipTemplate.DataTipRows(end+1) = ...
|
||||
dataTipTextRow('len', len);
|
||||
h2.DataTipTemplate.DataTipRows(end+1) = ...
|
||||
dataTipTextRow('voaatten', voa);
|
||||
|
||||
grid on;
|
||||
xticks(sort(unique(lambda)));
|
||||
xticklabels(sort(unique(lambda)));
|
||||
|
||||
% Labels, scales, legend, etc.
|
||||
xlabel('Wavelength in nm','FontSize',12);
|
||||
ylabel('Power in dB','FontSize',12);
|
||||
title('Power ','FontSize',14,'FontWeight','bold');
|
||||
set(gca, 'XScale','linear','YScale','linear','FontSize',11);
|
||||
legend
|
||||
|
||||
xlim([min(lambda)-2, max(lambda)+2]);
|
||||
ylim([floor(min(fl_filtered_.(['mean_',y_variable])))-1 12]);
|
||||
ylim([-12 12]);
|
||||
|
||||
cnt = cnt+1;
|
||||
|
||||
yline(8,'HandleVisibility','off');
|
||||
|
||||
end
|
||||
|
||||
yline([4.85e-3, 2e-2],'--','LineWidth',1,'HandleVisibility','off');
|
||||
posH = get(f, 'Position'); % [left, bottom, width, height]
|
||||
newPos = [posH(1), posH(2), 750, 300];
|
||||
set(f, 'Position', newPos);
|
||||
@@ -1,6 +1,6 @@
|
||||
% === SETTINGS ===
|
||||
dsp_options.append_to_db = 1;
|
||||
dsp_options.max_occurences = 15;
|
||||
dsp_options.append_to_db = 0;
|
||||
dsp_options.max_occurences = 1;
|
||||
|
||||
experiment = "highspeed_2024";
|
||||
dsp_options.mode = "load_run_id"; % 'simulate' & 'load_files'
|
||||
@@ -41,14 +41,14 @@ end
|
||||
fp = QueryFilter();
|
||||
% fp.where('Runs', 'run_id','EQUALS', 987);
|
||||
fp.where('Runs', 'pam_level','EQUALS', 4);
|
||||
% fp.where('Runs', 'bitrate','LESS_THAN', 310e9);
|
||||
% fp.where('Runs', 'fiber_length','EQUALS', 1);
|
||||
fp.where('Runs', 'bitrate','EQUALS', 360e9);
|
||||
fp.where('Runs', 'fiber_length','EQUALS', 2);
|
||||
fp.where('Runs', 'is_mpi','EQUALS', 0);
|
||||
% fp.where('Runs', 'interference_path_length','EQUALS', 1000);
|
||||
% fp.where('Runs', 'loop_id','GREATER_THAN', 11);
|
||||
% fp.where('Runs', 'sir','EQUALS',18);
|
||||
% fp.where('Runs', 'wavelength','EQUALS', 1310);
|
||||
% fp.where('Runs', 'db_mode','EQUALS', 1);
|
||||
fp.where('Runs', 'wavelength','EQUALS', 1310);
|
||||
fp.where('Runs', 'db_mode','EQUALS', 0);
|
||||
fp.where('Runs', 'rop_attenuation','EQUALS', 0);
|
||||
% fp.where('Runs', 'power_pd_in','GREATER_THAN', 7);
|
||||
|
||||
@@ -75,7 +75,7 @@ wh.addStorage("dbenc_package");
|
||||
|
||||
% === RUN IT ===
|
||||
|
||||
[results,wh] = submitJobs(dataTable.run_id(:), dsp_options, "parallel", 'wh', wh, 'waitbar', true);
|
||||
[results,wh] = submitJobs(dataTable.run_id(:), dsp_options, "serial", 'wh', wh, 'waitbar', true);
|
||||
|
||||
|
||||
% wh.getStoValue('ffe_package',0.005);
|
||||
|
||||
@@ -0,0 +1,236 @@
|
||||
|
||||
precomp_mode = 0;
|
||||
precomp_path = "C:\Users\Silas\Documents\MATLAB\imdd_simulation\projects\HighSpeedExperiment_2024\Auswertung_JLT";
|
||||
precomp_fn = "precomp_simulated.mat";
|
||||
|
||||
% TX
|
||||
M = 4;
|
||||
fsym = 72e9;
|
||||
f_nyquist = fsym/2;
|
||||
apply_pulsef = 1;
|
||||
fdac = 256e9;
|
||||
fadc = 256e9;
|
||||
% fdac = 2*fsym;
|
||||
% fadc = 2*fsym;
|
||||
random_key = 1;
|
||||
|
||||
duob_mode = db_mode.no_db;
|
||||
|
||||
tx_bwl = 0.8.*f_nyquist;
|
||||
rx_bwl = 0.8.*f_nyquist;
|
||||
|
||||
rcalpha = 0.05;
|
||||
kover = 16;
|
||||
vbias_rel = 0.5;
|
||||
u_pi = 2.9;
|
||||
vbias = -vbias_rel*u_pi;
|
||||
laser_wavelength = 1293;
|
||||
laser_linewidth = 0;
|
||||
|
||||
|
||||
% Channel
|
||||
link_length = 60000;
|
||||
|
||||
% RX
|
||||
rop = -8;
|
||||
|
||||
% EQ
|
||||
eq_mode = equalizer_structure.vnle_pf_mlse;
|
||||
ffe_order=[50,0,0];
|
||||
vnle_order=[50,5,5];
|
||||
dfe_order = [0 0 0];
|
||||
|
||||
len_tr = 4096*2;
|
||||
mu_ffe = [0.0004 0.0004 0.0004];
|
||||
mu_dfe = 0.0004;
|
||||
mu_dc = 0.00;
|
||||
|
||||
dfe_ = sum(dfe_order)>0;
|
||||
|
||||
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rc","pulselength",16,"alpha",rcalpha);
|
||||
|
||||
[Digi_sig,Symbols,Tx_bits] = PAMsource(...
|
||||
"fsym",fsym,"M",M,"order",18,"useprbs",0,...
|
||||
"fs_out",fdac,...
|
||||
"applyclipping",0,"clipfactor",1.5,...
|
||||
"applypulseform",apply_pulsef,"pulseformer",Pform,...
|
||||
"randkey",random_key,...
|
||||
"duobinary_mode",duob_mode).process();
|
||||
|
||||
if precomp_mode == 1 % measure channel
|
||||
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',fdac);
|
||||
Digi_sig = precomp_est.buildOFDM();
|
||||
elseif precomp_mode == 2 % apply precomp
|
||||
precomp_est = ChannelFreqResp("Nacq",1024,"Navg",64,"Ncp",63,'f_ref',Digi_sig.fs);
|
||||
Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',-50,'loadPath',precomp_path,'fileName',precomp_fn);
|
||||
end
|
||||
|
||||
% Symbols.spectrum("displayname",'Tx Symbols','fignum',10,'normalizeTo0dB',1);
|
||||
|
||||
Digi_sig.eye(fsym,M,"fignum",1234567);
|
||||
%%%%% AWG
|
||||
%El_sig = M8199B("kover",kover).process(Digi_sig);
|
||||
El_sig = AWG("fdac",fdac,"f_cutoff",fsym,"lpf_active",0,"kover",kover,"bit_resolution",12,"upsampling_method","samplehold","precomp_sinc_rolloff",1).process(Digi_sig);
|
||||
% El_sig.spectrum("displayname",'Digi Spectrum','fignum',100,'normalizeTo0dB',0);
|
||||
% El_sig = El_sig.setPower(0,"dBm");
|
||||
El_sig.spectrum("displayname",'Tx Signal','fignum',10,'normalizeTo0dB',0);
|
||||
%%%%% Low-pass el. components %%%%%%
|
||||
|
||||
El_sig = Filter('filtdegree',4,"f_cutoff",tx_bwl,"fs",fdac*kover,"filterType",filtertypes.gaussian,"active",true).process(El_sig);
|
||||
% El_sig.spectrum("displayname",'Digi Spectrum','fignum',100,'normalizeTo0dB',1);
|
||||
|
||||
%%%%% Electrical Driver Amplifier %%%%%%
|
||||
El_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",3).process(El_sig);
|
||||
El_sig = El_sig.normalize("mode","oneone");
|
||||
|
||||
%%%%% MODULATE E/O CONVERSION %%%%%%
|
||||
[Opt_sig] = EML("mode",eml_mode.im_cosinus,"power",3,"fsimu",El_sig.fs,"lambda",laser_wavelength,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth,"randomkey",random_key+1).process(El_sig);
|
||||
|
||||
Opt_sig = Fiber("fsimu",Opt_sig.fs,"fiber_length",link_length/1000,"alpha",0.3,"D",0,"lambda0",1310,"gamma",0,"Dslope",0.07).process(Opt_sig);
|
||||
|
||||
%%%%%% ROP %%%%%%
|
||||
Rx_sig = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",rop).process(Opt_sig);
|
||||
|
||||
%%%%%% PD Square Law %%%%%%
|
||||
Rx_sig = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20,"nep",1.8e-11).process(Rx_sig);
|
||||
|
||||
%%%%%% Low-pass RX (PD, El. Connectors and Scope %%%%%%
|
||||
Rx_sig = Filter('filtdegree',4,"f_cutoff",rx_bwl,"fs",fdac*kover,"filterType",filtertypes.bessel_inp,"active",true).process(Rx_sig);
|
||||
|
||||
% %%%%%% Low-pass Scope %%%%%%
|
||||
Lp_scpe = Filter('filtdegree',4,"f_cutoff",35e9,"fs",fadc,"filterType",filtertypes.butterworth,"active",true);
|
||||
|
||||
% Rx_sig.spectrum("displayname",'Analog Rx Spectrum','fignum',100,'normalizeTo0dB',1);
|
||||
|
||||
%%%%%% Scope %%%%%%
|
||||
Scpe_sig = Scope("fsimu",fdac*kover,"fadc",fadc,...
|
||||
"delay",0,"fixed_delay",0,"filtertype",filtertypes.butterworth,...
|
||||
"samplingdelay",0,"rand_samplingdelay",0,"freq_offset",0,"samp_jitter",0,...
|
||||
"adcresolution",8,"quantbuffer",0.1,'block_dc',1,'lpf_active',1,'H_lpf',Lp_scpe).process(Rx_sig);
|
||||
|
||||
Scpe_sig.spectrum("displayname",'Rx Signal','fignum',10,'normalizeTo0dB',1);
|
||||
Scpe_sig.eye(fsym,M,"fignum",1973763)
|
||||
|
||||
%%%%% Precompensation Routine %%%%%%
|
||||
if precomp_mode == 1
|
||||
Scpe_sig_resampled = Scpe_sig.resample("fs_in",fadc,"fs_out",2*fsym);
|
||||
precomp_est.estimate(Scpe_sig_resampled,"save",false,"savePath",precomp_path,"fileName",precomp_fn);
|
||||
precomp_est.plot();
|
||||
precomp_est.save();
|
||||
end
|
||||
|
||||
% Preprocess signal
|
||||
Scpe_sig = preprocessSignal(Scpe_sig, Symbols, fsym);
|
||||
Scpe_sig.signal = Scpe_sig.signal(1:2*Symbols.length);
|
||||
use_ffe = 0;
|
||||
use_dfe = 0;
|
||||
use_vnle_mlse = 1;
|
||||
use_dbtgt = 1;
|
||||
use_dbenc = 1;
|
||||
|
||||
|
||||
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',1,...
|
||||
"postFFE",[],...
|
||||
"eth_style_symbol_mapping",0);
|
||||
|
||||
disp('FFE:')
|
||||
ffe_results.metrics.print;
|
||||
|
||||
|
||||
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);
|
||||
|
||||
disp('DFE:')
|
||||
dfe_results.metrics.print;
|
||||
|
||||
|
||||
end
|
||||
|
||||
if use_vnle_mlse
|
||||
|
||||
if 0
|
||||
pf_ncoeffs = 1;
|
||||
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);
|
||||
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
|
||||
% mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
|
||||
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
|
||||
|
||||
[ffe_results, mlse_results] = vnle_postfilter_mlse(eq_, pf_, mlse_, M, Scpe_sig, Symbols, Tx_bits, ...
|
||||
"precode_mode", duob_mode,...
|
||||
'showAnalysis', 1, ...
|
||||
"postFFE", [],...
|
||||
"eth_style_symbol_mapping", 0);
|
||||
|
||||
disp('VNLE:')
|
||||
ffe_results.metrics.print;
|
||||
disp('MLSE:')
|
||||
mlse_results.metrics.print;
|
||||
end
|
||||
|
||||
pf_ncoeffs = 2;
|
||||
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);
|
||||
pf_ = Postfilter("ncoeff",pf_ncoeffs,"useBurg",1);
|
||||
% mlse_ = MLSE_viterbi("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
|
||||
mlse_ = MLSE("duobinary_output",0,'M',M,'trellis_states',PAMmapper(M,0).levels);
|
||||
|
||||
[ffe_results, mlse_results] = vnle_postfilter_mlse(eq_, pf_, mlse_, M, Scpe_sig, Symbols, Tx_bits, ...
|
||||
"precode_mode", duob_mode,...
|
||||
'showAnalysis', 1, ...
|
||||
"postFFE", [],...
|
||||
"eth_style_symbol_mapping", 0);
|
||||
|
||||
disp('VNLE:')
|
||||
ffe_results.metrics.print;
|
||||
disp('MLSE:')
|
||||
mlse_results.metrics.print;
|
||||
|
||||
|
||||
end
|
||||
|
||||
if use_dbtgt
|
||||
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);
|
||||
|
||||
mlse_db_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels);
|
||||
|
||||
dbt_results = duobinary_target(eq_, mlse_db_, M, Scpe_sig, Symbols, Tx_bits, ...
|
||||
"precode_mode", duob_mode, ...
|
||||
'showAnalysis',1 ,...
|
||||
"postFFE", []);
|
||||
|
||||
disp('DB:')
|
||||
dbt_results.metrics.print;
|
||||
|
||||
end
|
||||
end
|
||||
|
||||
if duob_mode == db_mode.db_encoded
|
||||
|
||||
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);
|
||||
|
||||
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",1,"postFFE",[]);
|
||||
|
||||
db_results.metrics.print;
|
||||
end
|
||||
@@ -5,7 +5,7 @@ precomp_mode = 2; %0=do nothing ; 1= measure; 2=precomp active
|
||||
db_precode = 0;
|
||||
db_coding_approach = 0;
|
||||
|
||||
fsym = 224e9;
|
||||
fsym = 160e9;
|
||||
fdac = 256e9;
|
||||
random_key = 0;
|
||||
M = 4;
|
||||
@@ -58,8 +58,7 @@ end
|
||||
|
||||
|
||||
rcalpha = 0.05;
|
||||
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rcalpha);
|
||||
|
||||
Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"alpha",rcalpha);
|
||||
|
||||
Pamsource = PAMsource(...
|
||||
"fsym",fsym,"M",M,"order",19,"useprbs",1,...
|
||||
@@ -83,7 +82,9 @@ Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',precomp_amp_max,'loadPath',pr
|
||||
Digi_sig = Digi_sig.normalize("mode","rms");
|
||||
|
||||
Digi_sig = Digi_sig.resample("fs_out",fdac);
|
||||
|
||||
Digi_sig= Digi_sig.normalize("mode","rms");
|
||||
|
||||
Digi_sig.spectrum("displayname","Strong Precomp","fignum",2223,"normalizeToNyquist",0,"normalizeTo0dB",0);
|
||||
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
|
||||
filename = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_5km\PAMX_5km_20241025_204334_wh.mat";
|
||||
filename = "Z:\2024\sioe\High Speed Messungen Oktober\bias_5km\PAMX_5km_20241025_204334_wh.mat";
|
||||
|
||||
a = load(filename);
|
||||
wh = a.obj;
|
||||
@@ -95,7 +95,7 @@ end
|
||||
|
||||
|
||||
|
||||
filename = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_testing_and_b2b\PAM4_b2b_bias_sweep_20241023_191202_wh_BB_BIAS_FINAL.mat";
|
||||
filename = "Z:\2024\sioe\High Speed Messungen Oktober\bias_testing_and_b2b\PAM4_b2b_bias_sweep_20241023_191202_wh_BB_BIAS_FINAL.mat";
|
||||
|
||||
a = load(filename);
|
||||
wh = a.obj;
|
||||
|
||||
@@ -1,12 +1,12 @@
|
||||
|
||||
|
||||
basePath = 'C:\Users\Silas\Documents\MATLAB\Datensätze\sioe_labor\';
|
||||
database = DBHandler("pathToDB",[basePath,'silas_labor.db'],"type",'sqlite');
|
||||
database = DBHandler("dataBase",[basePath,'silas_labor.db'],"type",'sqlite');
|
||||
|
||||
filterParams = database.tables;
|
||||
filterParams.Configurations = struct( ...
|
||||
'bitrate', [], ... %[224,336,360,390,420,448]
|
||||
'db_mode', [], ...
|
||||
'bitrate', [390e9], ... %[224,336,360,390,420,448]
|
||||
'db_mode', 1, ...
|
||||
'fiber_length', 1, ...
|
||||
'interference_attenuation', [], ...
|
||||
'interference_path_length', [], ...
|
||||
|
||||
Reference in New Issue
Block a user