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"""
dll_pll_veml_plot_sample.py
Reads GNSS-SDR Tracking dump binary file using the provided function and
plots some internal variables
Irene Pérez Riega, 2023. iperrie@inta.es
Modifiable in the file:
sampling_freq - Sampling frequency [Hz]
plot_last_outputs - If 0 -> process everything / number of items processed
channels - Number of channels
first_channel - Number of the first channel
doppler_opt - = 1 -> Plot // = 0 -> No plot
path - Path to folder which contains raw files
fig_path - Path where doppler plots will be save
'trk_dump_ch' - Fixed part of the tracking dump files names
-----------------------------------------------------------------------------
GNSS-SDR is a Global Navigation Satellite System software-defined receiver.
This file is part of GNSS-SDR.
Copyright (C) 2022 (see AUTHORS file for a list of contributors)
SPDX-License-Identifier: GPL-3.0-or-later
-----------------------------------------------------------------------------
"""
import os
import numpy as np
import matplotlib.pyplot as plt
from lib.dll_pll_veml_read_tracking_dump import dll_pll_veml_read_tracking_dump
from lib.plotVEMLTracking import plotVEMLTracking
trackResults = []
settings = {}
GNSS_tracking = []
# ---------- CHANGE HERE:
sampling_freq = 3000000
plot_last_outputs = 0
channels = 5
first_channel = 0
doppler_opt = 1
settings['numberOfChannels'] = channels
path = '/home/labnav/Desktop/TEST_IRENE/tracking'
fig_path = '/home/labnav/Desktop/TEST_IRENE/PLOTS/Doppler'
for N in range(1, channels+1):
tracking_log_path = os.path.join(path,
f'trk_dump_ch{N-1+first_channel}.dat')
GNSS_tracking.append(dll_pll_veml_read_tracking_dump(tracking_log_path))
# GNSS-SDR format conversion to Python GPS receiver
for N in range (1, channels+1):
if 0 < plot_last_outputs < len(GNSS_tracking[N - 1].get("code_freq_hz")):
start_sample = (len(GNSS_tracking[N-1].get("code_freq_hz")) -
plot_last_outputs)
else:
start_sample = 0
trackResult = {
'status': 'T', # fake track
'codeFreq': np.copy(GNSS_tracking[N-1]["code_freq_hz"][start_sample:]),
'carrFreq': np.copy(GNSS_tracking[N-1]["carrier_doppler_hz"][start_sample:]),
'dllDiscr': np.copy(GNSS_tracking[N-1]["code_error"][start_sample:]),
'dllDiscrFilt': np.copy(GNSS_tracking[N-1]["code_nco"][start_sample:]),
'pllDiscr': np.copy(GNSS_tracking[N-1]["carr_error"][start_sample:]),
'pllDiscrFilt': np.copy(GNSS_tracking[N-1]["carr_nco"][start_sample:]),
'I_P': np.copy(GNSS_tracking[N-1]["P"][start_sample:]),
'Q_P': np.zeros(len(GNSS_tracking[N-1]["P"][start_sample:])),
'I_VE': np.copy(GNSS_tracking[N-1]["VE"][start_sample:]),
'I_E': np.copy(GNSS_tracking[N-1]["E"][start_sample:]),
'I_L': np.copy(GNSS_tracking[N-1]["L"][start_sample:]),
'I_VL': np.copy(GNSS_tracking[N-1]["VL"][start_sample:]),
'Q_VE': np.zeros(len(GNSS_tracking[N-1]["VE"][start_sample:])),
'Q_E': np.zeros(len(GNSS_tracking[N-1]["E"][start_sample:])),
'Q_L': np.zeros(len(GNSS_tracking[N-1]["L"][start_sample:])),
'Q_VL': np.zeros(len(GNSS_tracking[N-1]["VL"][start_sample:])),
'data_I': np.copy(GNSS_tracking[N-1]["prompt_I"][start_sample:]),
'data_Q': np.copy(GNSS_tracking[N-1]["prompt_Q"][start_sample:]),
'PRN': np.copy(GNSS_tracking[N-1]["PRN"][start_sample:]),
'CNo': np.copy(GNSS_tracking[N-1]["CN0_SNV_dB_Hz"][start_sample:]),
'prn_start_time_s': np.copy(GNSS_tracking[N-1]["PRN_start_sample"]
[start_sample:]) / sampling_freq
}
trackResults.append(trackResult)
# Plot results:
plotVEMLTracking(N,trackResults,settings)
# Plot Doppler according to selected in doppler_opt variable:
if doppler_opt == 1:
if not os.path.exists(fig_path):
os.makedirs(fig_path)
plt.figure()
plt.plot(trackResults[N - 1]['prn_start_time_s'],
[x/1000 for x in GNSS_tracking[N - 1]['carrier_doppler_hz']
[start_sample:]])
plt.xlabel('Time(s)')
plt.ylabel('Doppler(KHz)')
plt.title('Doppler frequency channel ' + str(N))
plt.savefig(os.path.join(fig_path, f'Doppler_freq_ch_{N}.png'))
plt.show()
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