Remove build and data folders, move tests and utils to the base of the source tree

2026-05-23 22:02:13 +00:00 · 2024-10-04 11:55:09 +02:00
parent 5be2971c9b
commit 825037592a
251 changed files with 154 additions and 179 deletions
@@ -0,0 +1,139 @@
+"""
+ hybrid_observables_plot_sample.py
+
+ Reads GNSS-SDR observables raw 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]
+   channels             - Number of channels to check if they exist
+   path                 - Path to folder which contains raw file
+   fig_path             - Path where plots will be save
+   observables_log_path - Completed path to observables raw data file
+
+ -----------------------------------------------------------------------------
+
+ 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 numpy as np
+import matplotlib.pyplot as plt
+from lib.read_hybrid_observables_dump import read_hybrid_observables_dump
+import os
+
+observables = {}
+double_size_bytes = 8
+bytes_shift = 0
+
+# ---------- CHANGE HERE:
+samplingFreq = 2000000
+channels = 5
+path = '/home/labnav/Desktop/TEST_IRENE/'
+fig_path = '/home/labnav/Desktop/TEST_IRENE/PLOTS/HybridObservables/'
+observables_log_path = path + 'observables.dat'
+
+if not os.path.exists(fig_path):
+    os.makedirs(fig_path)
+
+GNSS_observables = read_hybrid_observables_dump(channels,observables_log_path)
+
+# Plot data
+# --- optional: plot since it detect the first satellite connected
+min_tow_idx = 1
+obs_idx = 1
+
+for n in range(0, channels):
+
+    idx = np.where(np.array(GNSS_observables['valid'][n])>0)[0][0]
+    # Find the index from the first satellite connected
+    if n == 0:
+        min_tow_idx = idx
+    if min_tow_idx > idx:
+        min_tow_idx = idx
+        obs_idx = n
+
+# Plot observables from that index
+# First plot
+plt.figure()
+plt.title('Pseudorange')
+for i in range(channels):
+    plt.scatter(GNSS_observables['RX_time'][i][min_tow_idx:],
+                GNSS_observables['Pseudorange_m'][i][min_tow_idx:],s=1,
+                label=f'Channel {i}')
+plt.xlim(GNSS_observables['RX_time'][obs_idx][min_tow_idx]-100,
+         GNSS_observables['RX_time'][obs_idx][-1]+100)
+plt.grid(True)
+plt.xlabel('TOW [s]')
+plt.ylabel('Pseudorange [m]')
+plt.legend()
+plt.gcf().canvas.manager.set_window_title('Pseudorange.png')
+plt.tight_layout()
+plt.savefig(os.path.join(fig_path, 'Pseudorange.png'))
+plt.show()
+
+# Second plot
+plt.figure()
+plt.title('Carrier Phase')
+for i in range(channels):
+    plt.scatter(GNSS_observables['RX_time'][i][min_tow_idx:],
+                GNSS_observables['Carrier_phase_hz'][i][min_tow_idx:],s=1,
+                label=f'Channel {i}')
+plt.xlim(GNSS_observables['RX_time'][obs_idx][min_tow_idx]-100,
+         GNSS_observables['RX_time'][obs_idx][-1]+100)
+plt.xlabel('TOW [s]')
+plt.ylabel('Accumulated Carrier Phase [cycles]')
+plt.grid(True)
+plt.legend()
+plt.gcf().canvas.manager.set_window_title('AccumulatedCarrierPhase.png')
+plt.tight_layout()
+plt.savefig(os.path.join(fig_path, 'AccumulatedCarrierPhase.png'))
+plt.show()
+
+# Third plot
+plt.figure()
+plt.title('Doppler Effect')
+for i in range(channels):
+    plt.scatter(GNSS_observables['RX_time'][i][min_tow_idx:],
+                GNSS_observables['Carrier_Doppler_hz'][i][min_tow_idx:],s=1,
+                label=f'Channel {i}')
+plt.xlim(GNSS_observables['RX_time'][obs_idx][min_tow_idx]-100,
+         GNSS_observables['RX_time'][obs_idx][-1]+100)
+plt.xlabel('TOW [s]')
+plt.ylabel('Doppler Frequency [Hz]')
+plt.grid(True)
+plt.legend()
+plt.gcf().canvas.manager.set_window_title('DopplerFrequency.png')
+plt.tight_layout()
+plt.savefig(os.path.join(fig_path, 'DopplerFrequency.png'))
+plt.show()
+
+# Fourth plot
+plt.figure()
+plt.title('GNSS Channels captured')
+for i in range(channels):
+    lab = 0
+    a = 0
+    while lab == 0:
+        lab = int(GNSS_observables["PRN"][i][min_tow_idx+a])
+        a += 1
+    plt.scatter(GNSS_observables['RX_time'][i][min_tow_idx:],
+                GNSS_observables['PRN'][i][min_tow_idx:], s=1,
+                label=f'PRN {i} = {lab}')
+plt.xlim(GNSS_observables['RX_time'][obs_idx][min_tow_idx]-100,
+         GNSS_observables['RX_time'][obs_idx][-1]+100)
+plt.xlabel('TOW [s]')
+plt.ylabel('PRN')
+plt.grid(True)
+plt.legend()
+plt.gcf().canvas.manager.set_window_title('PRNs.png')
+plt.tight_layout()
+plt.savefig(os.path.join(fig_path, 'PRNs.png'))
+plt.show()