mirror of
https://github.com/gnss-sdr/gnss-sdr
synced 2024-10-30 06:36:21 +00:00
126 lines
4.8 KiB
Matlab
126 lines
4.8 KiB
Matlab
function plotKalman(channelList, trackResults, settings)
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% This function plots the tracking results for the given channel list.
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%
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% plotTracking(channelList, trackResults, settings)
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%
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% Inputs:
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% channelList - list of channels to be plotted.
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% trackResults - tracking results from the tracking function.
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% settings - receiver settings.
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%--------------------------------------------------------------------------
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% SoftGNSS v3.0
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%
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% Written by Darius Plausinaitis
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%--------------------------------------------------------------------------
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% GNSS-SDR is a Global Navigation Satellite System software-defined receiver.
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% This file is part of GNSS-SDR.
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%
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% SPDX-FileCopyrightText: Darius Plausinaitis
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% SPDX-License-Identifier: GPL-3.0-or-later
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%--------------------------------------------------------------------------
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% Protection - if the list contains incorrect channel numbers
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channelList = intersect(channelList, 1:settings.numberOfChannels);
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%=== For all listed channels ==============================================
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for channelNr = channelList
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%% Select (or create) and clear the figure ================================
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% The number 200 is added just for more convenient handling of the open
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% figure windows, when many figures are closed and reopened.
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% Figures drawn or opened by the user, will not be "overwritten" by
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% this function.
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figure(channelNr +200);
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clf(channelNr +200);
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set(channelNr +200, 'Name', ['Channel ', num2str(channelNr), ...
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' (PRN ', ...
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num2str(trackResults(channelNr).PRN(end-1)), ...
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') results']);
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timeStart = settings.timeStartInSeconds;
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%% Draw axes ==============================================================
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% Row 1
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handles(1, 1) = subplot(4, 2, 1);
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handles(1, 2) = subplot(4, 2, 2);
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% Row 2
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handles(2, 1) = subplot(4, 2, 3);
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handles(2, 2) = subplot(4, 2, 4);
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% Row 3
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handles(3, 1) = subplot(4, 2, [5 6]);
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% Row 4
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handles(4, 1) = subplot(4, 2, [7 8]);
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%% Plot all figures =======================================================
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timeAxisInSeconds = (1:settings.msToProcess)/1000;
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%----- CNo for signal----------------------------------
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plot (handles(1, 1), timeAxisInSeconds, ...
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trackResults(channelNr).CNo(1:settings.msToProcess), 'b');
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grid (handles(1, 1));
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axis (handles(1, 1), 'tight');
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xlabel(handles(1, 1), 'Time (s)');
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ylabel(handles(1, 1), 'CNo (dB-Hz)');
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title (handles(1, 1), 'Carrier to Noise Ratio');
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%----- PLL discriminator filtered----------------------------------
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plot (handles(1, 2), timeAxisInSeconds, ...
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trackResults(channelNr).state1(1:settings.msToProcess), 'b');
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grid (handles(1, 2));
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axis (handles(1, 2), 'tight');
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xlim (handles(1, 2), [timeStart, timeAxisInSeconds(end)]);
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xlabel(handles(1, 2), 'Time (s)');
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ylabel(handles(1, 2), 'Phase Amplitude');
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title (handles(1, 2), 'Filtered Carrier Phase');
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%----- Carrier Frequency --------------------------------
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plot (handles(2, 1), timeAxisInSeconds(2:end), ...
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trackResults(channelNr).state2(2:settings.msToProcess), 'Color',[0.42 0.25 0.39]);
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grid (handles(2, 1));
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axis (handles(2, 1));
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xlim (handles(2, 1), [timeStart, timeAxisInSeconds(end)]);
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xlabel(handles(2, 1), 'Time (s)');
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ylabel(handles(2, 1), 'Freq (hz)');
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title (handles(2, 1), 'Filtered Doppler Frequency');
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%----- Carrier Frequency Rate --------------------------------
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plot (handles(2, 2), timeAxisInSeconds(2:end), ...
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trackResults(channelNr).state3(2:settings.msToProcess), 'Color',[0.42 0.25 0.39]);
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grid (handles(2, 2));
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axis (handles(2, 2));
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xlim (handles(2, 2), [timeStart, timeAxisInSeconds(end)]);
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xlabel(handles(2, 2), 'Time (s)');
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ylabel(handles(2, 2), 'Freq (hz)');
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title (handles(2, 2), 'Filtered Doppler Frequency Rate');
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%----- PLL discriminator unfiltered--------------------------------
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plot (handles(3, 1), timeAxisInSeconds, ...
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trackResults(channelNr).innovation, 'r');
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grid (handles(3, 1));
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axis (handles(3, 1), 'auto');
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xlim (handles(3, 1), [timeStart, timeAxisInSeconds(end)]);
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xlabel(handles(3, 1), 'Time (s)');
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ylabel(handles(3, 1), 'Amplitude');
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title (handles(3, 1), 'Raw PLL discriminator (Innovation)');
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%----- PLL discriminator covariance --------------------------------
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plot (handles(4, 1), timeAxisInSeconds, ...
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trackResults(channelNr).r_noise_cov, 'r');
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grid (handles(4, 1));
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axis (handles(4, 1), 'auto');
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xlim (handles(4, 1), [timeStart, timeAxisInSeconds(end)]);
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xlabel(handles(4, 1), 'Time (s)');
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ylabel(handles(4, 1), 'Variance');
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title (handles(4, 1), 'Estimated Noise Variance');
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end % for channelNr = channelList
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