Add new functions

2025-02-17 21:31:12 +01:00
parent becaf3f6c9
commit d099efea03
21 changed files with 1502 additions and 272 deletions
--- a/Functions/EQ_visuals/showEQNoiseSNR.m
+++ b/Functions/EQ_visuals/showEQNoiseSNR.m
@@ -0,0 +1,70 @@
+function showEQNoiseSNR(tx_signal, rx_signal, options)
+arguments
+    tx_signal
+    rx_signal 
+    options.fs_tx
+    options.fs_rx
+    options.fignum (1,1) double = NaN % Default to NaN if not provided
+    options.displayname (1,:) char = '' % Default to an empty string if not provided
+    options.color = [0.2157    0.4941    0.7216];
+end
+
+    % Determine the figure number to use or create a new figure
+    if isnan(options.fignum)
+        fig = figure; % Create a new figure and get its handle
+    else
+        fig = figure(options.fignum); % Use the specified figure number
+    end
+
+    if isa(tx_signal,'Signal')
+        options.fs_tx = tx_signal.fs;
+        tx_signal = tx_signal.signal;
+    end
+    if isa(rx_signal,'Signal')
+        options.fs_rx = rx_signal.fs;
+        rx_signal = rx_signal.signal;
+    end
+
+
+    hold on
+    ax = gca;
+
+    % N = numel(ax.Children);
+    N = sum(arrayfun(@(x) strcmp(x.LineStyle, '-'), ax.Children));
+    cmap = linspecer(8);
+    options.color = cmap(mod(N, size(cmap, 1)) + 1, :);
+
+    % Ensure the figure is ready before calling spectrum
+    title('SNR of received Signal')
+
+    fft_length = 2^(nextpow2(length(tx_signal))-7);
+    
+    [s_lin,w] = pwelch(tx_signal,hanning(fft_length),fft_length/2,fft_length,options.fs_tx,"centered","psd","mean");
+    [n_lin,w] = pwelch(rx_signal,hanning(fft_length),fft_length/2,fft_length,options.fs_rx,"centered","psd","mean");
+
+    w = w.*1e-9;
+    snr_dbm = 10*log10(s_lin./n_lin);
+
+    % figure(231)
+    hold on
+    plot(w,snr_dbm,'DisplayName','SNR','LineWidth',0.5,'Color',options.color);
+    xlabel("Frequency in GHz");
+
+    edgetick = 2^(nextpow2(options.fs_tx*1e-9));
+    ticks = -edgetick:16:edgetick;
+    xticks(ticks);
+
+    [~,b]=min(abs((-edgetick:16:edgetick)-max(w)));
+    xlim([-ticks(b+1) ticks(b+1)]);
+    
+    max_snr = ceil(max(snr_dbm)/10)*10;
+    min_snr = floor(min(snr_dbm)/10)*10;
+    ylim([min_snr,max_snr]);
+    yticks(-200:10:100);
+
+    grid on; grid minor;
+    legend('Interpreter','none');
+    title('Noise of soft decision signal (not MLSE)');
+
+
+end