LoRa-Based Low-Cost Nanosatellite for Emerging Communication Networks in Complex Scenarios
Abstract
:1. Introduction
2. State of the Art
Our Contribution
- Design and manufacturing of an autonomous CubeSat, base station and pilot station;
- Election and measurement of electronic devices for the efficient performance of the system;
- Design, simulation, and test of a dipole antenna;
- Management of legal rights and checking the weather forecast to launch the CubeSat locally;
- Collection of sensor data and their visualization in a web-based environment;
- Performance of LoRa communication experiments in an open environment.
3. System Description
3.1. CubeSat
- Sensor reading: Receives the values of the analog and digital inputs of the microcontroller to process them. Taking into account the selected microcontroller and its capabilities, the reading process for different kinds of sensors is supported.
- Communication: Responsible for receiving and sending communication data between the CubeSat and the terrestrial stations through LoRa modules.
3.2. Base Station
3.3. Pilot Station
3.4. Software Components
- SPI.h: To use the SPI port on the Arduino to control the onboard hardware of SPI (bus communication with Arduino);
- Wire.h: To use the I2C bus in Arduino;
- LoRa.h: To send and receive data through the LoRa protocol. We used the default LoRa configuration: bandwidth = 125.0 kHz, spreading factor = 9, coding rate = 7, and output power = 17 dBm;
- TinyGPS: To provide GPS NMEA functionality;
- SoftwareSerial.h: To allow serial communication through other digital pins of the Arduino, using software to replicate the same functionality. Multiple software serial ports, with speeds up to 115,200 bps, were used.
4. Pre-Launch Procedures
- Airspace reservation:
- Choose a launch site, avoiding the existence of overhead lines nearby and reducing the likelihood of wind blowing the probe out to sea;
- Contact the corresponding area navigation manager in the launching country to request the form—in the proposed case, ENAIRE (air navigation manager of Spain);
- Selection of components for deployment:
- Choose balloon (Totex TA-1000), helium load (3.5 cm volume), and parachute (Rocketman 4 ft);
- Insert information into Parachute Descent Rate Calculator at parachute section and Meteorological Balloon Burst Estimator according to [26], to estimate descent rate and balloon burst, respectively;
- Simulation of the possible trajectories of the balloon:
- Choose the location and time of launch;
- Predict the balloon trajectory [27];
5. Test Verification and Evaluation
5.1. TS1: Communication Base Station and CubeSat
5.2. TS2: Communication between Base Station and Pilot Station through CubeSat
5.3. Sensor Data Acquisition and Visualization
6. Conclusions & Future Work
- Design a printed circuit prototype to house the microcontroller, sensors, and actuators, among others;
- Investigate modification of the control subsystem to be governed by a more efficient and robust microcontroller such as the MSP432;
- Provide more functionality to the nanosatellite: battery level sensor, antenna deployment warning device, and solar panel charge level, among others;
- Design and manufacture another type of antenna to cover larger distances.
- Develop a prototype that can achieve higher heights while maintaining LoRa communication. These heights will be closer to commercial CubeSats or LEO satellites.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
6LoWPAN | IPv6 over Low-Power Wireless Personal Area Networks |
COTS | Commercial Off-The-Shelf |
GPS | Global Positioning System |
GSM | Global System for Mobile Communication |
HAPS | High-Altitude Platform Stations |
IDE | Integrated Development Environment |
IoT | Internet of Things |
LEO | Low Earth Orbit |
LoRa | Long Range |
LoRaWAN | Lomg-Range Wide Area Networks |
LTE | Long-Term Evolution |
RSSI | Received Signal Strength Indicator |
SatCom | Satellite Communication |
SDR | Software Defined Radio |
SF | Spreading Factor |
SPI | Serial Peripheral Interface |
UMTS | Universal Mobile Telecommunications System |
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Component | Consumption (mA) |
---|---|
Arduino Nano | 19 |
LoRa SX1278 | 120 |
Sensor GPS GY-NEO6MV2 [25] | 45 |
Others | 10 |
Total | 194 |
Test # | Latitude | Longitude | Altitude (m) | Distance (km) | RSSI (dBm) |
---|---|---|---|---|---|
1 | 42°3155.7 N | 0°2246.0 W | 832.98 | 0.187 | −99 |
2 | 42°3226.3 N | 0°2359.4 W | 793.86 | 2.1 | −102 |
3 | 42°3225.2 N | 0°2355.8 W | 823.33 | 4.79 | −103 |
4 | 42°3518.6 N | 0°3157.7 W | 1067.8 | 14.20 | −104 |
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Parada, R.; Monzon Baeza, V.; Barraca-Ibort, D.N.; Monzo, C. LoRa-Based Low-Cost Nanosatellite for Emerging Communication Networks in Complex Scenarios. Aerospace 2023, 10, 754. https://doi.org/10.3390/aerospace10090754
Parada R, Monzon Baeza V, Barraca-Ibort DN, Monzo C. LoRa-Based Low-Cost Nanosatellite for Emerging Communication Networks in Complex Scenarios. Aerospace. 2023; 10(9):754. https://doi.org/10.3390/aerospace10090754
Chicago/Turabian StyleParada, Raúl, Victor Monzon Baeza, David N. Barraca-Ibort, and Carlos Monzo. 2023. "LoRa-Based Low-Cost Nanosatellite for Emerging Communication Networks in Complex Scenarios" Aerospace 10, no. 9: 754. https://doi.org/10.3390/aerospace10090754
APA StyleParada, R., Monzon Baeza, V., Barraca-Ibort, D. N., & Monzo, C. (2023). LoRa-Based Low-Cost Nanosatellite for Emerging Communication Networks in Complex Scenarios. Aerospace, 10(9), 754. https://doi.org/10.3390/aerospace10090754