mirror of https://github.com/gnss-sdr/gnss-sdr
77 lines
2.5 KiB
Python
77 lines
2.5 KiB
Python
"""
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plot_tracking_quality_indicators.py
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Irene Pérez Riega, 2023. iperrie@inta.es
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Modifiable in the file:
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channels - Number of channels
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firs_channel - Number of the first channel
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path - Path to folder which contains raw files
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fig_path - Path where doppler plots will be save
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'trk_dump_ch' - Fixed part of the tracking dump files names
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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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Copyright (C) 2022 (see AUTHORS file for a list of contributors)
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SPDX-License-Identifier: GPL-3.0-or-later
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-----------------------------------------------------------------------------
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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import os
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from lib.dll_pll_veml_read_tracking_dump import dll_pll_veml_read_tracking_dump
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GNSS_tracking = []
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plot_names = []
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# ---------- CHANGE HERE:
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channels = 5
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first_channel = 0
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path = '/home/labnav/Desktop/TEST_IRENE/tracking'
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fig_path = '/home/labnav/Desktop/TEST_IRENE/PLOTS/TrackingQualityIndicator'
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for N in range(1, channels + 1):
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tracking_log_path = os.path.join(path,
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f'trk_dump_ch{N-1+first_channel}.dat')
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GNSS_tracking.append(dll_pll_veml_read_tracking_dump(tracking_log_path))
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if not os.path.exists(fig_path):
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os.makedirs(fig_path)
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# Plot tracking quality indicators
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# First plot
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plt.figure()
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plt.gcf().canvas.manager.set_window_title('Carrier lock test output for all '
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'the channels')
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plt.title('Carrier lock test output for all the channels')
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for n in range(len(GNSS_tracking)):
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plt.plot(GNSS_tracking[n]['carrier_lock_test'])
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plot_names.append(f'SV {str(round(np.mean(GNSS_tracking[n]["PRN"])))}')
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plt.legend(plot_names)
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plt.savefig(os.path.join(fig_path,
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f'carrier_lock_test '
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f'{str(round(np.mean(GNSS_tracking[n]["PRN"])))}'))
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plt.show()
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# Second plot
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plt.figure()
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plt.gcf().canvas.manager.set_window_title('Carrier CN0 output for all the '
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'channels')
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plt.title('Carrier CN0 output for all the channels')
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for n in range(len(GNSS_tracking)):
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plt.plot(GNSS_tracking[n]['CN0_SNV_dB_Hz'])
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plot_names.append(f'CN0_SNV_dB_Hz '
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f'{str(round(np.mean(GNSS_tracking[n]["PRN"])))}')
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plt.legend(plot_names)
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plt.savefig(os.path.join(
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fig_path, f'SV {str(round(np.mean(GNSS_tracking[n]["PRN"])))}'))
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plt.show()
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