measurement state
This commit is contained in:
Silas Labor Zizou
@@ -1,41 +1,125 @@
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% filename = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_testing\PAM4_b2b_bias_sweep_20241023_130342_wh.mat";
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%
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% a = load(filename);
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% wh = a.obj;
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filename = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_5km\PAMX_5km_20241025_204334_wh.mat";
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a = load(filename);
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wh = a.obj;
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v_bias_vals = wh.parameter.vbias.values;
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awg_vpp_vals = wh.parameter.awg_vpp.values;
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precomp_amp_max_vals = wh.parameter.precomp_amp_max.values;
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rop_atten_vals = wh.parameter.rop_atten.values;
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PAM = wh.parameter.M.values(1);
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lambda_vals = wh.parameter.lambda.values;
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M_vals = wh.parameter.M.values;
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fsym_vals = [168e9, 144e9, 120e9];
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m = wh.getStoValue('m',v_bias_vals(1),awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),PAM);
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ber_ffe= [];
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ber_mlse= [];
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rop_measured= [];
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pd_in_measured= [];
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ber_ffe = [];
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ber_mlse = [];
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rop_measured = [];
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pd_in_measured = [];
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rop_measured = [];
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cnt = 0;
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for PAM = wh.parameter.M.values
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cnt = cnt+1;
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ber_ffe(cnt,:) = wh.getStoValue('ber_ffe',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),PAM)';
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ber_mlse(cnt,:) = wh.getStoValue('ber_mlse',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),PAM);
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rop_measured(cnt,:) = wh.getStoValue('rop',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),PAM);
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pd_in_measured(cnt,:) = wh.getStoValue('pd_in',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),PAM);
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figure(252)
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clf
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hold on
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cols = cbrewer2('Set1',3);
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for l = 1:numel(lambda_vals)
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for m = 1:numel(M_vals)
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ber_ffe = wh.getStoValue('ber_ffe',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(m),lambda_vals(l));
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ber = wh.getStoValue('ber_collect',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(m),lambda_vals(l));
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exfo = wh.getStoValue('exfo',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(m),lambda_vals(l));
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for e = 1:numel(exfo)
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laser_pow(e) = exfo{e}.cur_power;
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end
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rop_measured = wh.getStoValue('rop',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(m),lambda_vals(l));
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pd_in_measured(l,m,:) = wh.getStoValue('pd_in',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(m),lambda_vals(l));
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rx_logbook = wh.getStoValue('rx_logbook',v_bias_vals(1),awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(1),lambda_vals(1));
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subplot(1,3,l)
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hold on
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a = scatter(v_bias_vals,min(ber,[],2),40,'LineWidth',2,'Marker','.','DisplayName',['PAM ',num2str(M_vals(m))],'MarkerEdgeColor',cols(m,:));
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title([num2str(lambda_vals(l)),'nm'])
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a.DataTipTemplate.DataTipRows(1).Label = 'Vbias';
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a.DataTipTemplate.DataTipRows(2).Label = 'BER';
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a.DataTipTemplate.DataTipRows(2).Format ='%.1e';
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a.DataTipTemplate.DataTipRows(3).Label = 'P_{out}';
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a.DataTipTemplate.DataTipRows(3).Value = rop_measured;
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a.DataTipTemplate.DataTipRows(3).Format = ['auto'];
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a.DataTipTemplate.DataTipRows(4).Label = 'Baudr';
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a.DataTipTemplate.DataTipRows(4).Value = repmat(fsym_vals(m).*1e-9,size(ber_ffe));
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a.DataTipTemplate.DataTipRows(4).Format = ['%d',' GBd'];
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a.DataTipTemplate.DataTipRows(5).Label = 'L_{out}';
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a.DataTipTemplate.DataTipRows(5).Value = laser_pow;
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a.DataTipTemplate.DataTipRows(5).Format = ['auto'];
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% Polynomial fit (e.g., second-order polynomial)
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[woutliers,n] = rmoutliers( min(ber,[],2) );
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p = polyfit( v_bias_vals(~n), log10(woutliers), 4); % Adjust order as needed
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BER_fit = polyval(p, v_bias_vals);
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% Plot the fitted curve
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plot(v_bias_vals, 10.^(BER_fit), '-r', 'LineWidth', 1.5,'Color',cols(m,:),'HandleVisibility','off');
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% Continue with the rest of your plot settings
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yline(3.8e-3, 'DisplayName', 'HD-FEC', 'LineStyle', '--', 'HandleVisibility', 'off');
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xlabel('Bias Voltage');
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ylabel('Bit Error Rate (BER)');
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sgtitle('Bit Error Rate vs. ROP');
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set(gca, 'yscale', 'log');
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set(gca, 'Box', 'on');
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grid on;
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grid minor;
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legend('Interpreter', 'none');
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ylim([1e-3,0.5]);
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xlim([-16, -2]);
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ylim([1e-3,0.5]);
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xlim([min(v_bias_vals) max(v_bias_vals)]);
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end
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end
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filename = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\bias_testing_and_b2b\PAM4_b2b_bias_sweep_20241023_191202_wh_BB_BIAS_FINAL.mat";
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a = load(filename);
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wh = a.obj;
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v_bias_vals = wh.parameter.vbias.values;
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awg_vpp_vals = wh.parameter.awg_vpp.values;
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precomp_amp_max_vals = wh.parameter.precomp_amp_max.values;
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rop_atten_vals = wh.parameter.rop_atten.values;
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M_vals = wh.parameter.M.values;
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ber_ffe = [];
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ber_mlse = [];
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rop_measured = [];
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pd_in_measured = [];
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figure(2024)
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for i = 1:3
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ber_ffe(i,:) = wh.getStoValue('ber_ffe',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(i));
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rop_measured(i,:) = wh.getStoValue('rop',v_bias_vals,awg_vpp_vals(1),precomp_amp_max_vals(1),rop_atten_vals(1),M_vals(i));
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[bestber,bestindex] = min(ber_ffe(i,:),[],'all');
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[awg_pos,v_bias_pos]=ind2sub(size(ber_ffe(i,:)),bestindex);
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bestawgvpp=awg_vpp_vals(awg_pos);
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@@ -43,24 +127,35 @@ for i = 1:3
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disp(['Best Vpp: ',num2str(bestvbias),' V; Best Vpp AWG: ',num2str(bestawgvpp),' V' ]);
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% Polynomial fit (e.g., second-order polynomial)
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[woutliers,n] = rmoutliers( ber_ffe(i,:) );
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p = polyfit( v_bias_vals(~n), log10(woutliers), 8); % Adjust order as needed
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BER_fit = polyval(p, v_bias_vals);
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% Plot the fitted curve
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plot(v_bias_vals, 10.^(BER_fit), '-r', 'LineWidth', 1.5,'Color',cols(i,:),'HandleVisibility','off');
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hold on
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a = scatter(rop_measured(i,:),ber_ffe(i,:),'Marker','+','DisplayName',['PAM ',num2str(wh.parameter.M.values(i))]);
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a.DataTipTemplate.DataTipRows(1).Label = 'P_{out}';
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a = scatter(v_bias_vals,ber_ffe(i,:),'Marker','+','DisplayName',['PAM ',num2str(wh.parameter.M.values(i))],'MarkerEdgeColor',cols(i,:));
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a.DataTipTemplate.DataTipRows(1).Label = 'Vbias';
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a.DataTipTemplate.DataTipRows(2).Label = 'BER';
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a.DataTipTemplate.DataTipRows(2).Format ='%.1e';
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a.DataTipTemplate.DataTipRows(3).Label = 'Vbias';
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a.DataTipTemplate.DataTipRows(3).Value = v_bias_vals;
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a.DataTipTemplate.DataTipRows(3).Label = 'P_{out}';
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a.DataTipTemplate.DataTipRows(3).Value = rop_measured(i,:);
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a.DataTipTemplate.DataTipRows(3).Format = 'auto';
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end
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% Continue with the rest of your plot settings
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yline(3.8e-3, 'DisplayName', 'HD-FEC', 'LineStyle', '--', 'HandleVisibility', 'off');
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xlabel('Measured MZM Output Power (dBm)');
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xlabel('Bias Voltage');
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ylabel('Bit Error Rate (BER)');
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title('Bit Error Rate vs. ROP');
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title('Bit Error Rate vs. ROP | MI->DO | B2B');
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set(gca, 'yscale', 'log');
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set(gca, 'Box', 'on');
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grid on;
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grid minor;
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legend('Interpreter', 'none');
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ylim([1e-4,0.5]);
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xlim([1.6 3.2]);
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