start ofc analysis

Classes/01_transmit/ChannelFreqResp.m

@@ -207,24 +207,28 @@ classdef ChannelFreqResp < handle
             Havg = obj.H;
 
             %1)
-            subplot(4,1,1);hold all;box on;title('Magnitude Freq. Response');
+            subplot(2,1,1);hold all;box on;title('Magnitude Freq. Response');
             plot(obj.faxis/1e9, 20*log10(abs(obj.H_all)),'linewidth',0.1,'LineStyle','-','Color','#808080') ;
             xlim([0.2 .5*max(obj.faxis)*1e-9]);
             plot(obj.faxis/1e9, 20*log10(abs(Havg)),'LineWidth',2);
             grid on;
 
             %2)
-            subplot(4,1,2); hold all; box on; title('Phase Freq. Response');
+            subplot(2,1,2); hold all; box on; title('Phase Freq. Response');
-            plot(obj.faxis/1e9, (angle(obj.H_all)),'linewidth',0.1,'LineStyle','-','Color','#808080') ;
+            plot(obj.faxis/1e9, angle(obj.H_all),'linewidth',0.1,'LineStyle','-','Color','#808080') ;
-            plot(obj.faxis/1e9, (angle(Havg)),'LineWidth',2) ;
+            plot(obj.faxis/1e9, unwrap(angle(Havg)),'LineWidth',2) ;
             xlim([0.2 .5*max(obj.faxis)*1e-9]);
             grid on;
 
+            figure(56);
+            clf;
+
+
             %normalize / remove attenuation
             Havg    = Havg./mean(Havg(2:10));
 
             %3)
-            subplot(4,1,3); hold all; box on; title('Inverse Magnitude Freq. Response');
+            subplot(2,1,1); hold all; box on; title('Inverse Magnitude Freq. Response');
             plot(obj.faxis/1e9, 20*log10(abs(1./Havg)),"LineWidth",2,"Color",[0.3467    0.5360    0.6907]) ;
             xlim([0.2 .5*max(obj.faxis)*1e-9]); grid on;
             ylim([-1 15]);
@@ -232,8 +236,8 @@ classdef ChannelFreqResp < handle
             yline(3,'LineWidth',2,'LineStyle','--');
 
             %4)
-            subplot(4,1,4); hold all; box on; title('Inverse Phase Freq. Response');
+            subplot(2,1,2); hold all; box on; title('Inverse Phase Freq. Response');
-            plot(obj.faxis/1e9, (angle(1./Havg)),"LineWidth",2,"Color",[0.3467    0.5360    0.6907]) ;
+            plot(obj.faxis/1e9, unwrap(angle(1./Havg)),"LineWidth",2,"Color",[0.3467    0.5360    0.6907]) ;
             xlim([0.2 .5*max(obj.faxis)*1e-9]); grid on;
 
 

projects/Lab_2024/bias_sweep_evaluation.m

@@ -1,6 +1,6 @@
 
 
-filename = "C:\Users\sioe\Nextcloud\Dokumente\02_Ablage_Office\Lab_Data_24\bias_sweep\PAM6_10km_ffe__wh.mat";
+filename = "C:\Users\Silas\Nextcloud4\Dokumente\02_Ablage_Office\Lab_Data_24\bias_sweep\PAM4_10km_ffe__wh.mat";
 a = load(filename);
 wh2 = a.obj;
 
@@ -80,7 +80,7 @@ scatter(bestvbias,bestawgvpp,100,"red",'Marker','x','LineWidth',2);
 subplot2 = subplot(1,2,2);
 
 % Plot the filled contour plot
-contourf_handle = contourf(v_bias_vals, awg_vpp_vals, rop_measured, 'Parent', subplot2);
+contourf_handle = contourf(v_bias_vals, awg_vpp_vals, rop_measured, 'Parent', subplot2,"ShowText",true);
 
 % Set x and y labels
 xlabel('V_{bias}');

projects/Lab_2024/bias_sweep_evaluation_2.m

@@ -1,6 +1,6 @@
 
 
-filename = "C:\Users\sioe\Nextcloud\Dokumente\02_Ablage_Office\Lab_Data_24\bias_sweep_gigantisch\wh_pam4.mat";
+filename = "C:\Users\Silas\Nextcloud4\Dokumente\02_Ablage_Office\Lab_Data_24\bias_sweep_gigantisch\wh_pam6.mat";
 a = load(filename);
 wh2 = a.wh;
 
@@ -8,7 +8,7 @@ wh2 = a.wh;
 v_bias_vals = wh2.parameter.vbias.values;
 awg_vpp_vals = wh2.parameter.awg_vpp.values;
 eq_mode_vals = wh2.parameter.eq_mode.values;
-eq_mode_show = eq_mode_vals(2);
+eq_mode_show = eq_mode_vals(3);
 eq_modes = ["FFE","FFE+MLSE","DB precoded","DB encoded"];
 
 precomp_amp_max_vals = wh2.parameter.precomp_amp_max.values;
@@ -22,7 +22,7 @@ sgtitle(['PAM ', num2str(m),' | EQ: ', char(eq_modes(eq_mode_show))])
 
 for p = 1:numel(precomp_amp_max_vals)
     precomp_amp_max_show = precomp_amp_max_vals(p);
-    subplot1 = subplot(2,3,p);
+    subplot1 = subplot(1,3,p);
 
     bers = [];
     rop_measured = [];
@@ -38,7 +38,7 @@ for p = 1:numel(precomp_amp_max_vals)
     bestawgvpp=awg_vpp_vals(awg_pos);
     bestvbias=v_bias_vals(v_bias_pos);
     
-    disp(['Best Vpp: ',num2str(bestvbias),' V; Best Vpp AWG: ',num2str(bestawgvpp),' V' ])
+    disp(['Best Vbias: ',num2str(bestvbias),' V; Best Vpp AWG: ',num2str(bestawgvpp),' V' ])
     
     % Compute the logarithm of BER data
     % Adding a small epsilon to avoid log(0)
@@ -53,8 +53,8 @@ for p = 1:numel(precomp_amp_max_vals)
     contourf_handle = contourf(v_bias_vals, awg_vpp_vals, log_bers, 'Parent', subplot1, "ShowText",true,"LabelFormat", @mylabelfun);
     
     % Set x and y labels with subscripts for clarity
-    xlabel('V_{bias}');
+    xlabel('V_{bias}','Interpreter','tex');
-    ylabel('V_{pp} AWG');
+    ylabel('V_{pp} AWG','Interpreter','tex');
     title(['Prec. Ampl.: ',num2str(precomp_amp_max_show), 'dB']);
     
     % Adjust the grid to display white lines

projects/Lab_2024/offline_dsp_analysis/load_n_dsp.m

@@ -0,0 +1,117 @@
+
+% load data points
+
+foldername = 'C:\Users\Silas\Nextcloud4\Dokumente\02_Ablage_Office\Lab_Data_24\sir_sweep_pam4';
+filename = 'PAM4_10km';
+
+stuff = load([foldername,filesep,filename,'_wh']);
+wh = stuff.obj;
+i_atten_vals = wh.parameter.i_atten.values;
+v_bias = wh.parameter.vbias.values(1);
+awg_vpp = wh.parameter.awg_vpp.values(1);
+eq_mode = wh.parameter.eq_mode.values(1);
+
+
+
+% Tx Bits
+% Tx Symbols
+% Rx Signal
+
+Bits = load([foldername, filesep, filename, '_bits'],'Bits');
+Bits = Bits.Bits;
+Symbols = load([foldername, filesep, filename, '_symbols_92gbd'],'Symbols');
+Symbols = Symbols.Symbols;
+
+Eq = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.0,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
+
+
+for atten = 0:4:40
+    Signal_cell = load([foldername, filesep, filename, '_rx_signal_iatten_',num2str(atten)]);
+    Scpe_sig = Signal_cell.S{1};
+
+    bers = wh.getStoValue('ber',v_bias,awg_vpp,eq_mode,atten);
+
+
+    [EQ_sig] = Eq.process(Scpe_sig,Symbols);
+
+    EQ_sig.plot("fignum",50,"displayname",'After EQ','clear',1);
+
+    Noi = EQ_sig-Symbols;
+
+    Rx_bits = PAMmapper(M,0).demap(EQ_sig);
+    [~,errors_bm,ber_ffe_only,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
+
+    nc = 2;
+    burg_coeff = arburg(Noi.signal,nc);
+
+    EQ_sig = EQ_sig.filter(burg_coeff,1);
+
+    if 1
+        Noi.spectrum('displayname','Noise PSD','fignum',123)
+        [h,w] = freqz(1,burg_coeff,length(Noi),"whole",Noi.fs);
+        h = h/max(abs(h));
+        hold on
+        w_ = (w - Noi.fs/2);
+        plot(w_.*1e-9,20*log10(fftshift(h)),'DisplayName',['', num2str(nc), ' coefficients for burg alg.']);
+    end
+
+    if 0
+        figure(53);
+        constellation = unique(Symbols.signal);
+        received = NaN(numel(constellation),length(Symbols));
+        for lvl = 1:numel(constellation)
+            received(lvl,Symbols.signal==constellation(lvl)) = EQ_sig.signal(Symbols.signal==constellation(lvl));
+            hold on
+            histogram(received(lvl,:),1000,"EdgeAlpha",0);
+        end
+    end
+
+    EQ_sig = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig);
+
+    Rx_bits = PAMmapper(M,0).demap(EQ_sig);
+    [~,errors_bm,ber,errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
+
+    disp(['FFE: ',sprintf('%.1E',ber_ffe_only),' -> PF -> MLSE: ',sprintf('%.1E',ber),'  dB | PD_in: ',num2str(pd_in),' dBm']);
+
+end
+
+
+
+
+cols = linspecer(8);
+
+i_atten_vals = wh.parameter.i_atten.values;
+v_bias = wh.parameter.vbias.values(1);
+awg_vpp = wh.parameter.awg_vpp.values(1);
+eq_mode = wh.parameter.eq_mode.values(1);
+
+bers = wh.getStoValue('ber',v_bias,awg_vpp,eq_mode,i_atten_vals);
+
+figure(90);
+hold on; % Retain the plot so new points can be added without complete redraw
+
+% Plot the data and get the line handle
+hLine = plot(i_atten_vals, bers, "LineWidth", 0.5, "LineStyle", "-", "Marker", ".", "MarkerSize", 15, "DisplayName", 'nbla');
+
+% Customize the data tips
+% Set labels for existing data tip rows
+hLine.DataTipTemplate.DataTipRows(1).Label = 'Fsym';
+hLine.DataTipTemplate.DataTipRows(2).Label = 'BER';
+hLine.DataTipTemplate.DataTipRows(2).Format = '%.2e'; % Format BER as "3e-4"
+
+
+% Continue with the rest of your plot settings
+yline(3.8e-3, 'DisplayName', 'HD-FEC', 'LineStyle', '--', 'HandleVisibility', 'off');
+xlabel('Signal to Interference Ratio in dB');
+ylabel('Bit Error Rate (BER)');
+title('Bit Error Rate vs. SIR');
+set(gca, 'yscale', 'log');
+set(gca, 'Box', 'on');
+grid on;
+grid minor;
+legend('Interpreter', 'none');
+
+
+autoArrangeFigures(3,3,2)
+
+disp("measurement done")