silas/imdd_silas
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Minor changes from Star PC.

Browse Source 
Better plot in channel freq response

imdd_mpi simulation is a good 400G model

DSP offline analysis script
This commit is contained in:
sioe
2024-10-20 17:28:13 +02:00
parent 637dd7bc86
commit 70fd0a44be
6 changed files with 390 additions and 191 deletions
Download Patch File Download Diff File Expand all files Collapse all files

42
Classes/00_signals/Signal.m
View File

@@ -337,15 +337,24 @@ classdef Signal
obj
options.fignum
options.displayname = "";
options.color = [];
options.normalizeToNyquist = 0;
options.normalizeTo0dB = 0;
end
% spectrum_plot(obj.signal,options.fsamp,options.figurename,options.displayname);
N = 2^(nextpow2(length(obj.signal))-8);
[p_lin,w] = pwelch(obj.signal,hanning(N),N/2,N,obj.fs,"centered","power","mean");
normalize = 0;
if normalize
if options.normalizeToNyquist==0
[p_lin,w] = pwelch(obj.signal,hanning(N),N/2,N,obj.fs,"centered","power","mean");
w=w.*1e-9;
else
[p_lin,w] = pwelch(obj.signal,hanning(N),N/2,N,"centered","power","mean");
end
if options.normalizeTo0dB
p_lin = p_lin./ max(p_lin);
p_dbm = 10*log10(p_lin); %dB to dBm in case of "power"
ylab = "normalized to 0 dB";
@@ -357,14 +366,27 @@ classdef Signal
figure(options.fignum); % If figure does not exist, create new figure
ax = gca;
hold on
plot(w.*1e-9,p_dbm,'DisplayName',options.displayname,'LineWidth',1);
xlabel("Frequency in GHz");
%ylabel("Power/frequency (dB/Hz)");
if isempty(options.color)
plot(w,p_dbm,'DisplayName',options.displayname,'LineWidth',1);
else
plot(w,p_dbm,'DisplayName',options.displayname,'LineWidth',1,'Color',options.color);
end
if options.normalizeToNyquist==0
xlabel("Frequency in GHz");
%xlim([-obj.fs/2 obj.fs/2].*1e-9)
edgetick = 2^(nextpow2(obj.fs*1e-9));
xticks([-edgetick:16:edgetick]);
xlim([100*round( min(w.*1e-9)/100,1)-10,100*round( max(w.*1e-9)/100,1)+10])
else
xlabel("Normalized Frequency");
xlim([-pi, pi]);
end
ylabel("Power/frequency (dB/Hz)");
ylabel(ylab);
xlim([-obj.fs/2 obj.fs/2].*1e-9)
edgetick = 2^(nextpow2(obj.fs*1e-9));
% xticks([-edgetick:16:edgetick]);
xlim([100*round( min(w.*1e-9)/100,1)-10,100*round( max(w.*1e-9)/100,1)+10])
ylim([min(floor( min(p_dbm))-3 , ax.YLim(1)), max(ceil( max(p_dbm) )+(3), ax.YLim(2))]);
yticks([-200:10:10]);
grid on

7
Classes/01_transmit/ChannelFreqResp.m
View File

@@ -240,6 +240,13 @@ classdef ChannelFreqResp < handle
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;
%%% plot for publication
figure(98989);hold all;box on;title('Magnitude Freq. Response');
xlim([0.2 .5*max(obj.faxis)*1e-9]);
ylim([-20, 2]);
plot(obj.faxis/1e9, 20*log10(abs(Havg)),'LineWidth',2);
grid on;
end

14
Classes/01_transmit/PAMmapper.m
View File

@@ -293,7 +293,7 @@ classdef PAMmapper
end
function [out] = separate_pamlevels(obj,data_in)
%data_in is Signal class
%A) normally return the preproduct of the decision
a = squeeze(repmat(real(data_in.signal),[1 1 length(obj.thresholds)])); %Eingangssignal in 3 spalten
b = squeeze(repmat(reshape(obj.thresholds(:).',[1 1 length(obj.thresholds)]),[1 length(data_in.signal) 1])); %Threshold in 3 Spalten
@@ -308,6 +308,18 @@ classdef PAMmapper
end
function [Signal_out] = quantize(obj,Signal_in)
constellation = obj.get_levels();
constellation = constellation ./ rms(constellation);
Signal_out = Signal_in;
dist = abs(Signal_in.signal - constellation);
[~,symbol_idx] = min(dist,[],2); % decision for closest constellation point
Signal_out.signal = constellation(symbol_idx);
Signal_out.signal = reshape(Signal_out.signal,size(Signal_in.signal));
end
end
end