gnss-sdr/utils/matlab/libs/plotKalman.m

function plotKalman(channelList, trackResults, settings)
% This function plots the tracking results for the given channel list.
%
% plotTracking(channelList, trackResults, settings)
%
%   Inputs:
%       channelList     - list of channels to be plotted.
%       trackResults    - tracking results from the tracking function.
%       settings        - receiver settings.

%--------------------------------------------------------------------------
%                           SoftGNSS v3.0
%
% Written by Darius Plausinaitis
%--------------------------------------------------------------------------
% GNSS-SDR is a Global Navigation Satellite System software-defined receiver.
% This file is part of GNSS-SDR.
%
% SPDX-FileCopyrightText: Darius Plausinaitis
% SPDX-License-Identifier: GPL-3.0-or-later
%--------------------------------------------------------------------------

% Protection - if the list contains incorrect channel numbers
channelList = intersect(channelList, 1:settings.numberOfChannels);

%=== For all listed channels ==============================================
for channelNr = channelList

    %% Select (or create) and clear the figure ================================
    % The number 200 is added just for more convenient handling of the open
    % figure windows, when many figures are closed and reopened.
    % Figures drawn or opened by the user, will not be "overwritten" by
    % this function.

    figure(channelNr +200);
    clf(channelNr +200);
    set(channelNr +200, 'Name', ['Channel ', num2str(channelNr), ...
        ' (PRN ', ...
        num2str(trackResults(channelNr).PRN(end-1)), ...
        ') results']);

    timeStart = settings.timeStartInSeconds;

    %% Draw axes ==============================================================
    % Row 1
    handles(1, 1) = subplot(4, 2, 1);
    handles(1, 2) = subplot(4, 2, 2);
    % Row 2
    handles(2, 1) = subplot(4, 2, 3);
    handles(2, 2) = subplot(4, 2, 4);
    % Row 3
    handles(3, 1) = subplot(4, 2, [5 6]);
    % Row 4
    handles(4, 1) = subplot(4, 2, [7 8]);

    %% Plot all figures =======================================================

    timeAxisInSeconds = (1:settings.msToProcess)/1000;

    %----- CNo for signal----------------------------------
    plot  (handles(1, 1), timeAxisInSeconds, ...
        trackResults(channelNr).CNo(1:settings.msToProcess), 'b');

    grid  (handles(1, 1));
    axis  (handles(1, 1), 'tight');
    xlabel(handles(1, 1), 'Time (s)');
    ylabel(handles(1, 1), 'CNo (dB-Hz)');
    title (handles(1, 1), 'Carrier to Noise Ratio');

    %----- PLL discriminator filtered----------------------------------
    plot  (handles(1, 2), timeAxisInSeconds, ...
        trackResults(channelNr).state1(1:settings.msToProcess), 'b');

    grid  (handles(1, 2));
    axis  (handles(1, 2), 'tight');
    xlim  (handles(1, 2), [timeStart, timeAxisInSeconds(end)]);
    xlabel(handles(1, 2), 'Time (s)');
    ylabel(handles(1, 2), 'Phase Amplitude');
    title (handles(1, 2), 'Filtered Carrier Phase');

    %----- Carrier Frequency --------------------------------
    plot  (handles(2, 1), timeAxisInSeconds(2:end), ...
        trackResults(channelNr).state2(2:settings.msToProcess), 'Color',[0.42 0.25 0.39]);

    grid  (handles(2, 1));
    axis  (handles(2, 1));
    xlim  (handles(2, 1), [timeStart, timeAxisInSeconds(end)]);
    xlabel(handles(2, 1), 'Time (s)');
    ylabel(handles(2, 1), 'Freq (hz)');
    title (handles(2, 1), 'Filtered Doppler Frequency');

    %----- Carrier Frequency Rate --------------------------------
    plot  (handles(2, 2), timeAxisInSeconds(2:end), ...
        trackResults(channelNr).state3(2:settings.msToProcess), 'Color',[0.42 0.25 0.39]);

    grid  (handles(2, 2));
    axis  (handles(2, 2));
    xlim  (handles(2, 2), [timeStart, timeAxisInSeconds(end)]);
    xlabel(handles(2, 2), 'Time (s)');
    ylabel(handles(2, 2), 'Freq (hz)');
    title (handles(2, 2), 'Filtered Doppler Frequency Rate');

    %----- PLL discriminator unfiltered--------------------------------
    plot  (handles(3, 1), timeAxisInSeconds, ...
        trackResults(channelNr).innovation, 'r');

    grid  (handles(3, 1));
    axis  (handles(3, 1), 'auto');
    xlim  (handles(3, 1), [timeStart, timeAxisInSeconds(end)]);
    xlabel(handles(3, 1), 'Time (s)');
    ylabel(handles(3, 1), 'Amplitude');
    title (handles(3, 1), 'Raw PLL discriminator (Innovation)');


    %----- PLL discriminator covariance --------------------------------
    plot  (handles(4, 1), timeAxisInSeconds, ...
        trackResults(channelNr).r_noise_cov, 'r');

    grid  (handles(4, 1));
    axis  (handles(4, 1), 'auto');
    xlim  (handles(4, 1), [timeStart, timeAxisInSeconds(end)]);
    xlabel(handles(4, 1), 'Time (s)');
    ylabel(handles(4, 1), 'Variance');
    title (handles(4, 1), 'Estimated Noise Variance');
end % for channelNr = channelList