From bb12c4f77daa7205e679776d441ace15a02dea12 Mon Sep 17 00:00:00 2001
From: Antonio Emilio <antonio_pereira@outlook.com>
Date: Wed, 18 Dec 2024 22:50:47 +0100
Subject: [PATCH] feat: transforming the notebook into a python service
---
.../SatelliteInitial LLA Position.csv | 1444 +++++++++++++++++
payload_generation/final_simulation.py | 426 +++++
payload_generation/modele1_doppler_level.csv | 1441 ++++++++++++++++
.../satellite_drone_movement_fast.gif | Bin 0 -> 222661 bytes
payload_generation/simulator.py | 55 +
payload_generation/trajectoire_dronnne.csv | 4 +
6 files changed, 3370 insertions(+)
create mode 100644 payload_generation/SatelliteInitial LLA Position.csv
create mode 100644 payload_generation/final_simulation.py
create mode 100644 payload_generation/modele1_doppler_level.csv
create mode 100644 payload_generation/satellite_drone_movement_fast.gif
create mode 100644 payload_generation/simulator.py
create mode 100644 payload_generation/trajectoire_dronnne.csv
diff --git a/payload_generation/SatelliteInitial LLA Position.csv b/payload_generation/SatelliteInitial LLA Position.csv
new file mode 100644
index 0000000..857b791
--- /dev/null
+++ b/payload_generation/SatelliteInitial LLA Position.csv
@@ -0,0 +1,1444 @@
+"Time (UTCG)","Lat (deg)","Lon (deg)","Alt (km)","Lat Rate (deg/sec)","Lon Rate (deg/sec)","Alt Rate (km/sec)"
+2 Dec 2024 11:00:00.000,0.000,123.218,1200.000000,0.038993,0.034595,0.000000
+2 Dec 2024 11:01:00.000,2.342,125.295,1200.035441,0.038960,0.034659,0.001179
+2 Dec 2024 11:02:00.000,4.679,127.380,1200.141287,0.038861,0.034852,0.002342
+2 Dec 2024 11:03:00.000,7.009,129.480,1200.316132,0.038694,0.035175,0.003473
+2 Dec 2024 11:04:00.000,9.327,131.604,1200.557655,0.038458,0.035629,0.004559
+2 Dec 2024 11:05:00.000,11.628,133.759,1200.862648,0.038151,0.036219,0.005584
+2 Dec 2024 11:06:00.000,13.908,135.953,1201.227063,0.037768,0.036946,0.006535
+2 Dec 2024 11:07:00.000,16.164,138.195,1201.646066,0.037306,0.037816,0.007400
+2 Dec 2024 11:08:00.000,18.389,140.494,1202.114099,0.036760,0.038832,0.008166
+2 Dec 2024 11:09:00.000,20.578,142.859,1202.624957,0.036124,0.039999,0.008824
+2 Dec 2024 11:10:00.000,22.726,145.298,1203.171874,0.035390,0.041321,0.009365
+2 Dec 2024 11:11:00.000,24.828,147.821,1203.747607,0.034553,0.042801,0.009783
+2 Dec 2024 11:12:00.000,26.875,150.439,1204.344537,0.033602,0.044442,0.010070
+2 Dec 2024 11:13:00.000,28.862,153.159,1204.954771,0.032530,0.046242,0.010225
+2 Dec 2024 11:14:00.000,30.781,155.992,1205.570245,0.031324,0.048198,0.010245
+2 Dec 2024 11:15:00.000,32.623,158.948,1206.182831,0.029977,0.050302,0.010129
+2 Dec 2024 11:16:00.000,34.379,162.033,1206.784444,0.028476,0.052541,0.009880
+2 Dec 2024 11:17:00.000,36.040,165.257,1207.367149,0.026812,0.054892,0.009500
+2 Dec 2024 11:18:00.000,37.597,168.625,1207.923268,0.024976,0.057326,0.008995
+2 Dec 2024 11:19:00.000,39.037,172.140,1208.445475,0.022962,0.059803,0.008372
+2 Dec 2024 11:20:00.000,40.352,175.805,1208.926897,0.020764,0.062269,0.007639
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+2 Dec 2024 11:33:00.000,42.212,-129.568,1209.614709,-0.016747,0.066143,-0.006217
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+3 Dec 2024 10:58:00.000,36.285,165.774,1207.453915,0.026543,0.055259,0.009431
+3 Dec 2024 10:59:00.000,37.824,169.164,1208.005322,0.024681,0.057703,0.008908
+3 Dec 2024 11:00:00.000,39.246,172.703,1208.521738,0.022638,0.060181,0.008267
+
+
diff --git a/payload_generation/final_simulation.py b/payload_generation/final_simulation.py
new file mode 100644
index 0000000..329b0f6
--- /dev/null
+++ b/payload_generation/final_simulation.py
@@ -0,0 +1,426 @@
+from os import times
+import numpy as np
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+from matplotlib import cm
+import pandas as pd
+from math import acos
+import csv
+
+# Load the CSV file
+file_path = 'SatelliteInitial LLA Position.csv'
+satellite_data = pd.read_csv(file_path)
+
+# Datas
+earth_radius = 6371 # km
+drone_cursing = 724/3.6 # Drone cursing speed (km/h)
+drone_altitude = earth_radius + 9 # km
+N=80000 # Number of points for the drone (calculated to have one point/second)
+
+# Extract time, latitude, longitude, and altitude data
+latitudes = satellite_data['Lat (deg)'].values
+longitudes = satellite_data['Lon (deg)'].values
+altitudes = satellite_data['Alt (km)'].values
+latitude_rates= satellite_data['Lat Rate (deg/sec)'].values
+longitude_rates= satellite_data['Lon Rate (deg/sec)'].values
+altitude_rates= satellite_data['Alt Rate (km/sec)'].values
+time = [seconds for seconds in range (len(altitudes))] #temps écoulé en secondes depuis le début de la simulation à chaque point
+
+# Converting spherical → Cartesian coordinates
+def latlonalt_to_cartesian(lat, lon, alt):
+ lat_rad = np.radians(lat)
+ lon_rad = np.radians(lon)
+ r = earth_radius + alt
+ x = r * np.cos(lat_rad) * np.cos(lon_rad)
+ y = r * np.cos(lat_rad) * np.sin(lon_rad)
+ z = r * np.sin(lat_rad)
+ return x, y, z
+
+# Converting spherical → cartesian velocity
+def spherical_to_cartesian_velocity(r, theta, phi, theta_rate, phi_rate, altitude_rate):
+ vx = (
+ altitude_rate * np.cos(theta) * np.cos(phi)
+ - r * np.sin(theta) * np.cos(phi) * theta_rate
+ - r * np.cos(theta) * np.sin(phi) * phi_rate
+ )
+ vy = (
+ altitude_rate * np.cos(theta) * np.sin(phi)
+ - r * np.sin(theta) * np.sin(phi) * theta_rate
+ + r * np.cos(theta) * np.cos(phi) * phi_rate
+ )
+ vz = (
+ altitude_rate * np.sin(theta)
+ + r * np.cos(theta) * theta_rate
+ )
+ return np.array([vx, vy, vz])
+
+# Satelite trajectory (in cartesian coordinates)
+satellite_x, satellite_y, satellite_z = latlonalt_to_cartesian(latitudes, longitudes, altitudes)
+satellite_velocities=[]
+for t in time :
+ satellite_velocities.append(spherical_to_cartesian_velocity(altitudes[t], latitudes[t], longitudes[t], latitude_rates[t], longitude_rates[t], altitude_rates[t]))
+
+# Liste des points du satellite :
+Positions_satellite=[ [satellite_x[t], satellite_y[t], satellite_z[t]] for t in time]
+
+# Drone trajectory
+
+# Coordinate of Clermont-Ferrand (in km/radians)
+C = [drone_altitude, 0.7718, 0.0538] # [r, θ, φ]
+# Coordinate of Adelaïde (in km/radians)
+A = [drone_altitude, 2.180, 2.420] # [r, θ, φ]
+
+# Conversion in cartesian coordinates
+C_cart = np.array([
+ C[0] * np.sin(C[1]) * np.cos(C[2]),
+ C[0] * np.sin(C[1]) * np.sin(C[2]),
+ C[0] * np.cos(C[1])
+])
+
+A_cart = np.array([
+ A[0] * np.sin(A[1]) * np.cos(A[2]),
+ A[0] * np.sin(A[1]) * np.sin(A[2]),
+ A[0] * np.cos(A[1])
+])
+
+# Vector normal to the plane (OAC)
+n = np.array([
+ A_cart[1] * C_cart[2] - A_cart[2] * C_cart[1],
+ A_cart[2] * C_cart[0] - A_cart[0] * C_cart[2],
+ A_cart[0] * C_cart[1] - A_cart[1] * C_cart[0]
+])
+
+# Normalisation of the vector n
+n = n / np.linalg.norm(n)
+
+# Definition of the vectors u and v : new frame
+u = C_cart / np.linalg.norm(C_cart) # Unitary vector in OC's direction
+v = np.cross(n, u)
+v = v / np.linalg.norm(v) # Vector normal to u and n
+
+# Stop angle
+psca=np.dot(A_cart,C_cart)
+alpha=acos(psca/(drone_altitude**2))
+
+# Parametrisation of the great circle
+t_values = np.linspace(0, -alpha, N)
+Positions_drone = drone_altitude * (np.outer(np.cos(t_values), u) + np.outer(np.sin(t_values), v))
+drone_x, drone_y, drone_z = Positions_drone[:, 0], Positions_drone[:, 1], Positions_drone[:, 2]
+
+
+# Create the figure and the 3D axis
+fig = plt.figure(figsize=(10, 7))
+ax = fig.add_subplot(111, projection='3d')
+
+# Create the figure and 3D axis
+u, v = np.mgrid[0:2*np.pi:100j, 0:np.pi:50j]
+earth_x = earth_radius * np.cos(u) * np.sin(v)
+earth_y = earth_radius * np.sin(u) * np.sin(v)
+earth_z = earth_radius * np.cos(v)
+ax.plot_surface(earth_x, earth_y, earth_z, color='b', alpha=0.3, rstride=5, cstride=5, cmap=cm.Blues)
+
+# Plot the satellite's trajectory
+# ax.plot(satellite_x, satellite_y, satellite_z, color='red', label='Satellite Trajectory')
+
+# Plot the drone's trajectory
+# ax.plot(drone_x, drone_y, drone_z, color='green', label='Drone Trajectory')
+
+# Define boundaries and labels
+ax.set_xlim([-2 * earth_radius, 2 * earth_radius])
+ax.set_ylim([-2 * earth_radius, 2 * earth_radius])
+ax.set_zlim([-2 * earth_radius, 2 * earth_radius])
+ax.set_xlabel("X (km)")
+ax.set_ylabel("Y (km)")
+ax.set_zlabel("Z (km)")
+ax.set_title("Modélisation 3D des trajectoires du drone et du satellite")
+ax.legend()
+
+# plt.show()
+print(len(Positions_drone))
+print(len(altitudes))
+
+import matplotlib.pyplot as plt
+
+# Calculate the distance and relative speed between the satellite and the drone
+
+# Calculating drone velocities
+def position_a_vitesse (Pos, dt):
+ # Numerical derivation of the position vector as a function of time
+ l=len(Pos)
+ V=[] # list of velocity vectors
+ for i in range (l-1):
+ v=[]
+ for j in range (3):
+ v.append((Pos[i+1][j]-Pos[i][j])/dt)
+ V.append(v)
+ return V
+drone_velocities=position_a_vitesse(Positions_drone,1) # step of one second
+
+# Calculating radial speed
+def radial_velocity(X1, X2, V1, V2, dt):
+ # Calculates the ratio-velocities at instants T from the velocities of the two modules
+ V_radiale=[]
+ l=min(len(X1), len(X2))
+ for i in range(l-1):
+ N=[X2[i][0]-X1[i][0], X2[i][1]-X1[i][1], X2[i][2]-X1[i][2]]
+ norme=np.sqrt((N[0]**2)+(N[1]**2)+(N[2]**2))
+ N=[N[0]/norme, N[1]/norme, N[2]/norme]
+
+ v1_radiale=V1[i][0]*N[0]+V1[i][1]*N[1]+V1[i][2]*N[2]
+ v2_radiale=V2[i][0]*N[0]+V2[i][1]*N[1]+V2[i][2]*N[2]
+
+ v_radiale=v2_radiale-v1_radiale
+ V_radiale.append(v_radiale)
+ return V_radiale
+
+
+l=min(len(Positions_drone), len(altitudes))
+Radial_velocities=radial_velocity(Positions_drone, Positions_satellite, drone_velocities, satellite_velocities, 1)
+
+#distances
+distances=[np.linalg.norm(Positions_drone[i]-Positions_satellite[i]) for i in range(l)]
+
+
+
+# Plot distance and relative speed
+
+# Plot distance
+plt.figure(figsize=(12, 6))
+plt.plot(time[:l], distances, label="Distance (km)")
+plt.xlabel("Time (seconds)")
+plt.ylabel("Distance (km)")
+plt.title("Distance Between Satellite and Drone Over Time")
+plt.legend()
+plt.grid(True)
+# plt.show()
+
+# Plot relative speed
+plt.figure(figsize=(12, 6))
+plt.plot(time[:l-1], Radial_velocities, label="Relative Velocity (km/s)", color="orange")
+plt.xlabel("Time (seconds)")
+plt.ylabel("Relative Velocity (km/s)")
+plt.title("Relative Velocity Between Satellite and Drone Over Time")
+plt.legend()
+plt.grid(True)
+# plt.show()
+
+"""## Plotting GIF"""
+
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+from matplotlib.animation import FuncAnimation, PillowWriter
+
+# Configuração inicial do gráfico 3D
+fig = plt.figure(figsize=(10, 7))
+ax = fig.add_subplot(111, projection='3d')
+
+# Configurações para os limites do gráfico e rótulos
+ax.set_xlim([-2 * earth_radius, 2 * earth_radius])
+ax.set_ylim([-2 * earth_radius, 2 * earth_radius])
+ax.set_zlim([-2 * earth_radius, 2 * earth_radius])
+ax.set_xlabel("X (km)")
+ax.set_ylabel("Y (km)")
+ax.set_zlabel("Z (km)")
+
+# Criar a Terra como uma esfera
+u, v = np.mgrid[0:2 * np.pi:100j, 0:np.pi:50j]
+earth_x = earth_radius * np.cos(u) * np.sin(v)
+earth_y = earth_radius * np.sin(u) * np.sin(v)
+earth_z = earth_radius * np.cos(v)
+ax.plot_surface(earth_x, earth_y, earth_z, color='b', alpha=0.3, rstride=5, cstride=5, cmap=cm.Blues)
+
+# Configuração inicial para a animação mais rápida
+skip_points = 100 # Quantidade de pontos a pular para acelerar o movimento
+
+# Atualizar a função de animação para pular quadros
+def update(frame):
+ ax.cla() # Limpar o gráfico para o próximo quadro
+
+ # Redefinir os limites e o rótulo da Terra
+ ax.plot_surface(earth_x, earth_y, earth_z, color='b', alpha=0.3, rstride=5, cstride=5, cmap=cm.Blues)
+ ax.set_xlim([-2 * earth_radius, 2 * earth_radius])
+ ax.set_ylim([-2 * earth_radius, 2 * earth_radius])
+ ax.set_zlim([-2 * earth_radius, 2 * earth_radius])
+ ax.set_xlabel("X (km)")
+ ax.set_ylabel("Y (km)")
+ ax.set_zlabel("Z (km)")
+
+ # Calcular índice considerando o pulo de pontos
+ index = frame * skip_points
+ if index >= len(satellite_x):
+ index = len(satellite_x) - 1 # Evitar ultrapassar o limite dos dados
+
+ # Plotar a trajetória até o índice atual para ambos
+ ax.plot(satellite_x[:index], satellite_y[:index], satellite_z[:index], color='red', label='Satellite Trajectory')
+ ax.plot(drone_x[:index], drone_y[:index], drone_z[:index], color='green', label='Drone Trajectory')
+
+ # Plotar o ponto atual do satélite e do drone
+ ax.scatter(satellite_x[index], satellite_y[index], satellite_z[index], color='red', s=50)
+ ax.scatter(drone_x[index], drone_y[index], drone_z[index], color='green', s=50)
+
+ # Adicionar a legenda
+ ax.legend()
+
+# Criar a animação com os pontos pulados para aumentar a velocidade aparente
+num_frames = len(satellite_x) // skip_points
+ani = FuncAnimation(fig, update, frames=num_frames, interval=50) # Interval para ajustar a suavidade
+
+# Salvar como GIF
+ani.save("satellite_drone_movement_fast.gif", writer=PillowWriter(fps=20))
+
+"""## Doppler effect calculation and attenuation
+
+
+"""
+
+import numpy as np
+import matplotlib.pyplot as plt
+
+# Parameters
+frequency = 13e9 # Transmission ferquency in Hz (13 GHz)
+c = 3e8 # Speed of the light in m/s
+
+# Lists for storing Doppler shift, signal level and distance between satellite and drone
+doppler_shifts = []
+signal_levels = []
+print(len(distances))
+
+# Calculate the Doppler shift, signal level and distance for each point
+for i in range(l-1):
+ # Current position of satellite and drone
+ sat_pos = np.array([satellite_x[i], satellite_y[i], satellite_z[i]])
+ drone_pos = np.array([drone_x[i], drone_y[i], drone_z[i]])
+
+ # Calculate the Doppler shift
+ doppler_shift = (Radial_velocities[i] / c) * frequency / 1000 # Em kHz
+ doppler_shifts.append(doppler_shift)
+
+ # Calculate the signal level in dB (Free-Space Path Loss)
+ path_loss_dB = 20 * np.log10(4 * np.pi * distances[i] * frequency / c)
+ signal_levels.append(-path_loss_dB) # Using negative to represent the signal level in dB
+
+# Plotar o efeito Doppler, o nível de sinal e a distância ao longo do tempo
+plt.figure(figsize=(12, 12))
+
+# Plot Doppler Shift
+plt.subplot(3, 1, 1)
+plt.plot(time[:l-1], doppler_shifts, label="Doppler Shift (kHz)", color="purple")
+plt.xlabel("Time (seconds)")
+plt.ylabel("Doppler Shift (kHz)")
+plt.title("Doppler Shift Between Satellite and Drone Over Time")
+plt.legend()
+plt.grid(True)
+
+# Plot Signal Level
+plt.subplot(3, 1, 2)
+plt.plot(time[:l-1], signal_levels, label="Signal Level (dB)", color="orange")
+plt.xlabel("Time (seconds)")
+plt.ylabel("Signal Level (dB)")
+plt.title("Signal Level Between Satellite and Drone Over Time")
+plt.legend()
+plt.grid(True)
+
+# Plot Distance
+plt.subplot(3, 1, 3)
+plt.plot(time[:l], distances, label="Distance (km)", color="blue")
+plt.xlabel("Time (seconds)")
+plt.ylabel("Distance (km)")
+plt.title("Distance Between Satellite and Drone Over Time")
+plt.legend()
+plt.grid(True)
+
+plt.tight_layout()
+# plt.show()
+
+# Export in csv
+filename = 'trajectoire_dronnne.csv'
+rows = zip(time[:l-1], drone_x, drone_y, drone_z, drone_velocities[0], drone_velocities[1], drone_velocities[2])
+with open(filename, mode='w', newline='') as file:
+ writer = csv.writer(file)
+ writer.writerow(['Time (s)', 'pos x', 'pos y', 'pos z', 'vit x', 'vit y', 'vit z'])
+ writer.writerows(rows)
+print(f"Les données ont été exportées dans le fichier '{filename}'.")
+
+# Export in csv
+filename = 'modele1_doppler_level.csv'
+rows = zip(time[:l-1], doppler_shifts, signal_levels)
+with open(filename, mode='w', newline='') as file:
+ writer = csv.writer(file)
+ writer.writerow(['Time (s)', 'Doppler shift (kHz)', 'Attenuation (dB)'])
+ writer.writerows(rows)
+print(f"Les données ont été exportées dans le fichier '{filename}'.")
+
+# Coordenadas iniciais e finais
+initial_lat, initial_lon = 45.7772, 3.0870 # Clermont-Ferrand, França
+final_lat, final_lon = -34.8796, 138.5943 # Adélaïde, Australia
+initial_altitude = 0.3 # Altitude inicial do drone em km (300 m)
+
+# Definindo o número de pontos para a trajetória do drone
+num_points = len(satellite_x) # Correspondendo ao número de pontos do satélite
+
+# Função para interpolar latitude e longitude ao longo da trajetória
+def interpolate_trajectory(start_lat, start_lon, end_lat, end_lon, num_steps):
+ lats = np.linspace(start_lat, end_lat, num_steps)
+ lons = np.linspace(start_lon, end_lon, num_steps)
+ return lats, lons
+
+# Gerar latitudes e longitudes interpoladas para o drone
+drone_lats, drone_lons = interpolate_trajectory(initial_lat, initial_lon, final_lat, final_lon, num_points)
+
+# Listas para armazenar a trajetória do drone em coordenadas cartesianas
+drone_x, drone_y, drone_z = [], [], []
+
+# Converter a trajetória do drone para coordenadas cartesianas e adicionar altitude
+for lat, lon in zip(drone_lats, drone_lons):
+ x, y, z = latlonalt_to_cartesian(lat, lon, initial_altitude)
+ drone_x.append(x)
+ drone_y.append(y)
+ drone_z.append(z)
+
+# Criar a figura e o eixo 3D para visualização
+fig = plt.figure(figsize=(10, 7))
+ax = fig.add_subplot(111, projection='3d')
+
+# Plotar a Terra como uma esfera
+u, v = np.mgrid[0:2*np.pi:100j, 0:np.pi:50j]
+earth_x = earth_radius * np.cos(u) * np.sin(v)
+earth_y = earth_radius * np.sin(u) * np.sin(v)
+earth_z = earth_radius * np.cos(v)
+ax.plot_surface(earth_x, earth_y, earth_z, color='b', alpha=0.3, rstride=5, cstride=5, cmap=cm.Blues)
+
+# Plotar a trajetória do satélite
+ax.plot(satellite_x, satellite_y, satellite_z, color='red', label='Satellite Trajectory')
+
+# Plotar a trajetória do drone
+ax.plot(drone_x, drone_y, drone_z, color='green', label='Drone Trajectory')
+
+# Definir limites e rótulos
+ax.set_xlim([-2 * earth_radius, 2 * earth_radius])
+ax.set_ylim([-2 * earth_radius, 2 * earth_radius])
+ax.set_zlim([-2 * earth_radius, 2 * earth_radius])
+ax.set_xlabel("X (km)")
+ax.set_ylabel("Y (km)")
+ax.set_zlabel("Z (km)")
+ax.set_title("3D Trajectory of Satellite and Drone from Clermont-Ferrand to Adélaïde")
+ax.legend()
+
+# plt.show()
+
+import matlab.engine
+
+print("Initialisation du moteur Matlab...")
+eng = matlab.engine.start_matlab()
+
+try:
+ print("Exécution du script 'generatescript'...")
+ eng.generate_frame_single_packet(nargout=0)
+ print("Script 'generatescript' exécuté avec succès.")
+
+except Exception as e:
+ print(f"Erreur lors de l'exécution du script 'generatescript':\n{e}")
+
+finally:
+ print("Arrêt du moteur Matlab...")
+ eng.quit()
+ print("Moteur Matlab arrêté avec succès.")
+
diff --git a/payload_generation/modele1_doppler_level.csv b/payload_generation/modele1_doppler_level.csv
new file mode 100644
index 0000000..dc4c255
--- /dev/null
+++ b/payload_generation/modele1_doppler_level.csv
@@ -0,0 +1,1441 @@
+Time (s),Doppler shift (kHz),Attenuation (dB)
+0,-2.4080487990599355,-135.9214437070849
+1,1.5766206021374698,-135.8959569891622
+2,1.2154164869942385,-135.86719526904542
+3,-2.1417339047611734,-135.8351333190817
+4,0.4623236065545194,-135.79993105216911
+5,1.5069512344152942,-135.76168379973325
+6,-0.9700564070006884,-135.72046803833413
+7,-1.0612747632181234,-135.67632696890897
+8,1.205847766951079,-135.62947749272863
+9,0.891746665851474,-135.5800270804911
+10,-1.7464186873680043,-135.52803783743548
+11,-0.738651397607947,-135.47359808905298
+12,1.7691054237882817,-135.41700941877923
+13,-0.06196443342458856,-135.35824640942795
+14,-2.2535052002608413,-135.29751255537286
+15,0.10422677442132496,-135.23502552004783
+16,2.6298217993526625,-135.17092470283922
+17,0.3788100396896397,-135.10539812335418
+18,-2.4679221092326245,-135.03854769806821
+19,-0.5618912868674576,-134.97072704953274
+20,0.7817391515669511,-134.90196269625622
+21,1.8037832653622918,-134.83266295179664
+22,-0.9577818615336817,-134.7628623343483
+23,-0.6254340198320522,-134.69298334816958
+24,3.6204423131146144,-134.62309290136798
+25,-1.680808905500505,-134.55356755756557
+26,-1.0787435858040817,-134.48457326189774
+27,1.4846937240852212,-134.416416006057
+28,-0.477319251217723,-134.34943689438637
+29,-1.7881916072435966,-134.28372007831103
+30,2.890121215260295,-134.21974557797432
+31,0.1525911577371539,-134.15761517236635
+32,-2.3319316668538055,-134.09774749990862
+33,-0.8893100262848378,-134.0403021678694
+34,2.000680125996626,-133.98558017440985
+35,0.9568256258158085,-133.93379204280737
+36,0.023501762498864577,-133.88520446141126
+37,-2.161021946069966,-133.84002671400663
+38,-0.5763255432768389,-133.79847061796346
+39,2.1030428154818814,-133.76075863265908
+40,0.8466975057154782,-133.7270179733149
+41,-1.677234733396096,-133.69732790838646
+42,-0.4694491258606292,-133.67187349753775
+43,1.996122282194436,-133.65071563609106
+44,-0.021692218751954827,-133.63390160611294
+45,-2.424060787464644,-133.62148837203097
+46,0.7760429478617997,-133.61339313969037
+47,1.7748078643861394,-133.60972271665398
+48,-1.8107644022221818,-133.61025488975767
+49,-0.38787779142336193,-133.6149547055039
+50,1.6715408026774294,-133.62372257913137
+51,-0.4231197416843486,-133.63640410558833
+52,-0.7128263046873582,-133.65279141714328
+53,0.3875874763605756,-133.672701608149
+54,1.0661323369531386,-133.6959805563801
+55,-0.8108385709935689,-133.72225713478716
+56,-1.0745123347776364,-133.75145583451777
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diff --git a/payload_generation/simulator.py b/payload_generation/simulator.py
new file mode 100644
index 0000000..89f756e
--- /dev/null
+++ b/payload_generation/simulator.py
@@ -0,0 +1,55 @@
+import tkinter as tk
+from tkinter import messagebox
+from PIL import Image, ImageTk
+import subprocess
+
+def run_simulation():
+ try:
+ # Exécute le script Python
+ subprocess.run(["python", "final_simulation.py"], check=True)
+ messagebox.showinfo("Succès", "Simulation terminée avec succès !")
+ open_gif()
+ except subprocess.CalledProcessError as e:
+ messagebox.showerror("Erreur", f"Erreur lors de l'exécution du script :\n{e}")
+ except FileNotFoundError:
+ messagebox.showerror("Erreur", "Le fichier 'final_simulation.py' est introuvable.")
+
+def open_gif():
+ gif_window = tk.Toplevel()
+ gif_window.title("Mouvement du Satellite et du Drone")
+ gif_window.geometry("800x600")
+
+ gif_label = tk.Label(gif_window)
+ gif_label.pack()
+
+ gif_image = Image.open("satellite_drone_movement_fast.gif")
+ gif_frames = [ImageTk.PhotoImage(gif_image.copy().convert("RGBA")) for _ in range(gif_image.n_frames)]
+ gif_image.seek(0)
+
+ def update_frame(frame_index):
+ gif_label.config(image=gif_frames[frame_index])
+ gif_window.after(50, update_frame, (frame_index + 1) % len(gif_frames))
+
+ update_frame(0)
+
+# Configuration de la fenêtre principale
+def main():
+ root = tk.Tk()
+ root.title("Simulateur d'Effet Doppler")
+
+ # Configurer la fenêtre
+ root.geometry("400x300")
+
+ # Ajouter un titre
+ title_label = tk.Label(root, text="Simulateur d'Effet Doppler", font=("Helvetica", 16, "bold"))
+ title_label.pack(pady=20)
+
+ # Ajouter un bouton pour exécuter le script
+ run_button = tk.Button(root, text="Exécuter la Simulation", command=run_simulation, font=("Helvetica", 12))
+ run_button.pack(pady=20)
+
+ # Afficher la fenêtre
+ root.mainloop()
+
+if __name__ == "__main__":
+ main()
diff --git a/payload_generation/trajectoire_dronnne.csv b/payload_generation/trajectoire_dronnne.csv
new file mode 100644
index 0000000..15809ac
--- /dev/null
+++ b/payload_generation/trajectoire_dronnne.csv
@@ -0,0 +1,4 @@
+Time (s),pos x,pos y,pos z,vit x,vit y,vit z
+0,4443.142140905496,239.27194450131088,4572.268239318893,-0.016033576764129975,-0.016038019472034648,-0.016042462161749427
+1,4443.126107328731,239.4729866145647,4572.273294878133,0.2010421132538056,0.20104187380337635,0.20104163415194876
+2,4443.110069309259,239.67402848836807,4572.278345865529,0.005055559239735885,0.005050987396316486,0.005046415550168604
--
GitLab