2018-01-23 11:28:29 +00:00
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% /*!
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% * \file plot_acq_grid.m
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% * \brief Read GNSS-SDR Acquisition dump .mat file using the provided
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% function and plot acquisition grid of acquisition statistic of PRN sat
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%
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%
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% * \author Antonio Ramos, 2017. antonio.ramos(at)cttc.es
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% * -------------------------------------------------------------------------
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% *
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% * Copyright (C) 2010-2017 (see AUTHORS file for a list of contributors)
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% *
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% * GNSS-SDR is a software defined Global Navigation
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% * Satellite Systems receiver
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% *
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% * This file is part of GNSS-SDR.
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% *
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% * GNSS-SDR is free software: you can redistribute it and/or modify
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% * it under the terms of the GNU General Public License as published by
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% * the Free Software Foundation, either version 3 of the License, or
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% * at your option) any later version.
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% *
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% * GNSS-SDR is distributed in the hope that it will be useful,
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% * but WITHOUT ANY WARRANTY; without even the implied warranty of
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% * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% * GNU General Public License for more details.
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% *
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% * You should have received a copy of the GNU General Public License
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% * along with GNSS-SDR. If not, see <http://www.gnu.org/licenses/>.
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% *
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% * -------------------------------------------------------------------------
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% */
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%%%%%%%%% ¡¡¡ CONFIGURE !!! %%%%%%%%%%%%%
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2018-01-24 11:59:22 +00:00
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2018-01-25 16:28:34 +00:00
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path = '/home/aramos/gnss-sdr/install/';
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2018-01-24 11:59:22 +00:00
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file = 'acq';
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2018-01-25 16:28:34 +00:00
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sat = 7;
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2018-01-24 11:59:22 +00:00
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% Signal:
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% 1 GPS L1
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% 2 GPS L2M
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% 3 GPS L5
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% 4 Gal. E1B
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% 5 Gal. E5
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signal_type = 1;
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2018-01-23 11:28:29 +00:00
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%%% True for light grid representation
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2018-01-25 16:28:34 +00:00
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lite_view = true;
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2018-01-24 11:59:22 +00:00
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2018-01-23 11:28:29 +00:00
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%%% If lite_view, it sets the number of samples per chip in the graphical representation
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2018-01-25 16:28:34 +00:00
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n_samples_per_chip = 3;
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2018-01-23 11:28:29 +00:00
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2018-01-24 11:59:22 +00:00
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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2018-01-23 11:28:29 +00:00
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2018-01-24 11:59:22 +00:00
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switch(signal_type)
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case 1
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n_chips = 1023;
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system = 'G';
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2018-01-25 16:28:34 +00:00
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signal = '1C';
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2018-01-24 11:59:22 +00:00
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case 2
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n_chips = 10230;
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system = 'G';
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2018-01-25 16:28:34 +00:00
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signal = '2S';
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2018-01-24 11:59:22 +00:00
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case 3
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n_chips = 10230;
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system = 'G';
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2018-01-25 16:28:34 +00:00
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signal = 'L5';
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2018-01-24 11:59:22 +00:00
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case 4
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n_chips = 4092;
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system = 'E';
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2018-01-25 16:28:34 +00:00
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signal = '1B';
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2018-01-24 11:59:22 +00:00
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case 5
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n_chips = 10230;
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system = 'E';
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2018-01-25 16:28:34 +00:00
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signal = '5X';
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2018-01-24 11:59:22 +00:00
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end
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2018-01-25 16:28:34 +00:00
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filename = [path file '_' system '_' signal '_sat_' num2str(sat) '.mat'];
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2018-01-24 11:59:22 +00:00
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load(filename);
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2018-01-23 11:28:29 +00:00
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[n_fft n_dop_bins] = size(grid);
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2018-01-24 10:17:33 +00:00
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[d_max f_max] = find(grid == max(max(grid)));
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2018-01-23 11:28:29 +00:00
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freq = (0 : n_dop_bins - 1) * doppler_step - doppler_max;
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delay = (0 : n_fft - 1) / n_fft * n_chips;
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figure(1)
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if(lite_view == false)
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2018-01-25 09:32:40 +00:00
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surf(freq, delay, grid, 'FaceColor', 'interp', 'LineStyle', 'none')
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2018-01-24 11:35:57 +00:00
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ylim([min(delay) max(delay)])
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2018-01-23 11:28:29 +00:00
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else
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delay_interp = (0 : n_samples_per_chip * n_chips - 1) / n_samples_per_chip;
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grid_interp = spline(delay, grid', delay_interp)';
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2018-01-25 09:32:40 +00:00
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surf(freq, delay_interp, grid_interp, 'FaceColor', 'interp', 'LineStyle', 'none')
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2018-01-24 11:35:57 +00:00
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ylim([min(delay_interp) max(delay_interp)])
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2018-01-23 11:28:29 +00:00
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end
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xlabel('Doppler shift / Hz')
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2018-01-24 11:35:57 +00:00
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xlim([min(freq) max(freq)])
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2018-01-23 11:28:29 +00:00
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ylabel('Code delay / chips')
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zlabel('Test statistics')
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2018-01-24 10:17:33 +00:00
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figure(2)
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subplot(2,1,1)
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plot(freq, grid(d_max, :))
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2018-01-24 11:35:57 +00:00
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xlim([min(freq) max(freq)])
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2018-01-24 10:17:33 +00:00
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xlabel('Doppler shift / Hz')
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2018-01-24 13:42:08 +00:00
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ylabel('Test statistics')
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title(['Fixed code delay to ' num2str((d_max - 1) / n_fft * n_chips) ' chips'])
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2018-01-24 10:17:33 +00:00
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subplot(2,1,2)
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plot(delay, grid(:, f_max))
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2018-01-24 11:35:57 +00:00
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xlim([min(delay) max(delay)])
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2018-01-24 10:17:33 +00:00
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xlabel('Code delay / chips')
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2018-01-24 13:42:08 +00:00
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ylabel('Test statistics')
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title(['Doppler wipe-off = ' num2str((f_max - 1) * doppler_step - doppler_max) ' Hz'])
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