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gnss-sdr/src/utils/matlab/plotTrackingE5a.m

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2018-03-30 10:04:14 +00:00
function plotTracking(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
%
% Copyright (C) Darius Plausinaitis
% Written by Darius Plausinaitis
%--------------------------------------------------------------------------
% This program is free software; you can redistribute it and/or
% modify it under the terms of the GNU General Public License
% as published by the Free Software Foundation; either version 2
% of the License, or (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program; if not, write to the Free Software
% Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
% USA.
%--------------------------------------------------------------------------
% 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), ...
') results']);
%% Draw axes ==============================================================
% Row 1
handles(1, 1) = subplot(3, 3, 1);
handles(1, 2) = subplot(3, 3, [2 3]);
% Row 2
handles(2, 1) = subplot(3, 3, 4);
handles(2, 2) = subplot(3, 3, [5 6]);
% Row 3
handles(3, 1) = subplot(3, 3, 7);
handles(3, 2) = subplot(3, 3, 8);
handles(3, 3) = subplot(3, 3, 9);
%% Plot all figures =======================================================
timeAxisInSeconds = (1:settings.msToProcess-1)/1000;
%----- Discrete-Time Scatter Plot ---------------------------------
plot(handles(1, 1), trackResults(channelNr).I_PN,...
trackResults(channelNr).Q_PN, ...
'.');
grid (handles(1, 1));
axis (handles(1, 1), 'equal');
title (handles(1, 1), 'Discrete-Time Scatter Plot');
xlabel(handles(1, 1), 'I prompt');
ylabel(handles(1, 1), 'Q prompt');
%----- Nav bits ---------------------------------------------------
plot (handles(1, 2), timeAxisInSeconds, ...
trackResults(channelNr).I_PN(1:settings.msToProcess-1));
grid (handles(1, 2));
title (handles(1, 2), 'Bits of the navigation message');
xlabel(handles(1, 2), 'Time (s)');
axis (handles(1, 2), 'tight');
%----- PLL discriminator unfiltered--------------------------------
plot (handles(2, 1), timeAxisInSeconds, ...
trackResults(channelNr).pllDiscr(1:settings.msToProcess-1), 'r');
grid (handles(2, 1));
axis (handles(2, 1), 'tight');
xlabel(handles(2, 1), 'Time (s)');
ylabel(handles(2, 1), 'Amplitude');
title (handles(2, 1), 'Raw PLL discriminator');
%----- Correlation ------------------------------------------------
plot(handles(2, 2), timeAxisInSeconds, ...
[sqrt(trackResults(channelNr).I_E(1:settings.msToProcess-1).^2 + ...
trackResults(channelNr).Q_E(1:settings.msToProcess-1).^2)', ...
sqrt(trackResults(channelNr).I_P(1:settings.msToProcess-1).^2 + ...
trackResults(channelNr).Q_P(1:settings.msToProcess-1).^2)', ...
sqrt(trackResults(channelNr).I_L(1:settings.msToProcess-1).^2 + ...
trackResults(channelNr).Q_L(1:settings.msToProcess-1).^2)'], ...
'-*');
grid (handles(2, 2));
title (handles(2, 2), 'Correlation results');
xlabel(handles(2, 2), 'Time (s)');
axis (handles(2, 2), 'tight');
hLegend = legend(handles(2, 2), '$\sqrt{I_{E}^2 + Q_{E}^2}$', ...
'$\sqrt{I_{P}^2 + Q_{P}^2}$', ...
'$\sqrt{I_{L}^2 + Q_{L}^2}$');
%set interpreter from tex to latex. This will draw \sqrt correctly
set(hLegend, 'Interpreter', 'Latex');
%----- PLL discriminator filtered----------------------------------
plot (handles(3, 1), timeAxisInSeconds, ...
trackResults(channelNr).pllDiscrFilt(1:settings.msToProcess-1), 'b');
grid (handles(3, 1));
axis (handles(3, 1), 'tight');
xlabel(handles(3, 1), 'Time (s)');
ylabel(handles(3, 1), 'Amplitude');
title (handles(3, 1), 'Filtered PLL discriminator');
%----- DLL discriminator unfiltered--------------------------------
plot (handles(3, 2), timeAxisInSeconds, ...
trackResults(channelNr).dllDiscr(1:settings.msToProcess-1), 'r');
grid (handles(3, 2));
axis (handles(3, 2), 'tight');
xlabel(handles(3, 2), 'Time (s)');
ylabel(handles(3, 2), 'Amplitude');
title (handles(3, 2), 'Raw DLL discriminator');
%----- DLL discriminator filtered----------------------------------
plot (handles(3, 3), timeAxisInSeconds, ...
trackResults(channelNr).dllDiscrFilt(1:settings.msToProcess-1), 'b');
grid (handles(3, 3));
axis (handles(3, 3), 'tight');
xlabel(handles(3, 3), 'Time (s)');
ylabel(handles(3, 3), 'Amplitude');
title (handles(3, 3), 'Filtered DLL discriminator');
end % for channelNr = channelList