Authors :
Chichebe M. Akachukwu; I. C. Awe; O. E. Olowu; L. E. Ijomanta; I. Mafiana
Volume/Issue :
Volume 11 - 2026, Issue 9 - September
Google Scholar :
https://tinyurl.com/2c9snhyn
DOI :
https://doi.org/10.38124/ijisrt/26sep191
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
Satellite and low-power wireless communication systems require flexible and low-cost tools for real-time radiofrequency monitoring, signal identification, and preliminary performance assessment. Conventional spectrum analyzers
and dedicated satellite receivers can be expensive and relatively inflexible for field applications. This paper presents the
design and performance evaluation of a portable software-defined satellite signal analyzer based on a Yagi antenna, lownoise amplifier (LNA), RTL-SDR receiver, ESP32 microcontroller, and HDSDR software. The system was developed to
provide real-time visualization and analysis of RF signals, with experimental monitoring focused on the 433.92 MHz LoRa
band as a representative UHF signal source. The Yagi antenna provides directional reception, while the LNA improves the
received signal level before digitization by the RTL-SDR. HDSDR performs spectrum visualization, waterfall display,
tuning, bandwidth selection, and signal-level monitoring, while the ESP32 provides auxiliary system monitoring and
portable interface functions. Experimental results indicate that the addition of the LNA improved the received signal-tonoise ratio from approximately 6.1 dB to 14.8 dB and increased the detectable signal level by approximately 8.7 dB. The
system successfully identified the 433.92 MHz LoRa carrier and provided continuous spectrum and waterfall visualization.
The proposed analyzer demonstrates the feasibility of combining inexpensive SDR hardware and embedded control into a
compact field-deployable RF monitoring platform. The architecture can be adapted to satellite telemetry and S-band
applications by replacing the antenna and RF front-end components with frequency-appropriate devices.
Keywords :
Software Defined Radio, RTL-SDR, Satellite Signal Monitoring, RF Spectrum Analyzer, LoRa, 433 MHz, Yagi Antenna, LNA, ESP32, HDSDR.
References :
- M. B. Mwakyanjala, M. R. Emami, and J. van de Beek, “Functional analysis of software-defined radio baseband for satellite ground operations,” Journal of Spacecraft and Rockets, vol. 56, no. 2, 2019, doi: 10.2514/1.A34333.
- M. B. Mwakyanjala, C. Nieto-Peroy, M. R. Emami, and J. van de Beek, “Concurrent development and verification of an all-software baseband for satellite ground operations,” International Journal of Satellite Communications and Networking, vol. 38, pp. 209–227, 2020, doi: 10.1002/sat.1336.
- O. Ceylan, A. Caglar, H. B. Tugrel, H. O. Cakar, A. O. Kislal, K. Kula, and H. B. Yagci, “Small satellites rock: A software-defined radio modem and ground station design for Cube Satellite communication,” IEEE Microwave Magazine, vol. 17, no. 3, pp. 26–33, 2016, doi: 10.1109/MMM.2015.2505700.
- M. Boettcher, B. M. Butt, and S. Klinkner, “Low-cost approach for a software-defined radio based ground station receiver for CCSDS standard compliant S-band satellite communications,” IOP Conference Series: Materials Science and Engineering, vol. 152, 012033, 2016, doi: 10.1088/1757-899X/152/1/012033.
- Y. M. O. Abbas and K. Asami, “Design of software-defined radio-based adaptable packet communication system for small satellites,” Aerospace, vol. 8, no. 6, p. 159, 2021, doi: 10.3390/aerospace8060159.
- R. Ciardi, G. Giuffrida, M. Bertolucci, and L. Fanucci, “Design and development of a CCSDS 131.2-B software-defined radio receiver based on graphics processing unit accelerators,” Electronics, vol. 13, no. 1, p. 209, 2024, doi: 10.3390/electronics13010209.
- A. Arteaga Arce, “Architecture of a spectrum monitoring system using software-defined radio,” Sistemas y Telemática, vol. 10, no. 23, 2012, doi: 10.18046/syt.v10i23.1370.
- F. Slimeni, T. Delleji, A. Agrebi, A. Trabilsi, and N. Boulejfen, “Real time implementation of SDR-based RF source detection and localization in restricted area,” Telecommunication Systems, vol. 84, pp. 399–408, 2023, doi: 10.1007/s11235-023-01055-9.
- M. McNulty, D. Gu, D. Kuester, and P. Nayeri, “Measurements of IP3 and P1dB for spectrum monitoring with software defined radios,” National Institute of Standards and Technology, 2022.
- C. Pinell, F. S. Prol, M. Z. H. Bhuiyan, J. Praks, et al., “Receiver architectures for positioning with low earth orbit satellite signals: A survey,” EURASIP Journal on Advances in Signal Processing, vol. 2023, art. no. 60, 2023, doi: 10.1186/s13634-023-01022-1.
- F. Busacca, S. Mangione, S. Palazzo, F. Restuccia, and I. Tinnirello, “SDR-LoRa, an open-source, full-fledged implementation of LoRa on Software-Defined-Radios: Design and potential exploitation,” Computer Networks, vol. 241, p. 110194, 2024, doi: 10.1016/j.comnet.2024.110194.
- M. A. M. Almuhaya, W. A. Jabbar, N. Sulaiman, and S. Abdulmalek, “A survey on LoRaWAN technology: Recent trends, opportunities, simulation tools and future directions,” Electronics, vol. 11, no. 1, p. 164, 2022, doi: 10.3390/electronics11010164.
- Y. Zhang, B. Zang, H. Ji, et al., “Cognitive radio for satellite TT&C system: A general dataset using software-defined radio,” Scientific Data, vol. 13, p. 860, 2026, doi: 10.1038/s41597-026-07182-7.
- K. S. Baktybekov, E. N. Bochkova, V. V. Korol, M. S. Murushkin, and B. R. Zhumazhanov, “Design of software defined radio of ground station for receiving nano-satellites image data in S-band,” Eurasian Physical Technical Journal, 2024, doi: 10.31489/2024No4/79-87.
- J. P. de Omena Simas, D. G. Riviello, and R. Garello, “Software-defined radio implementation of a LoRa transceiver,” Sensors, vol. 24, no. 15, p. 4825, 2024, doi: 10.3390/s24154825.
- H. Nakata, K. Nozaki, Y. Oki, et al., “Software-defined radio-based HF Doppler receiving system,” Earth, Planets and Space, vol. 73, p. 209, 2021, doi: 10.1186/s40623-021-01547-5.
- V. R. Vignesh, S. Kumar, and P. Gorre, “A novel wide bandwidth FBSSIR integrated low noise amplifier for satellite navigational receiver system,” Microelectronics Journal, vol. 117, p. 105288, 2021, doi: 10.1016/j.mejo.2021.105288.
- C. Priyanka, D. V. Ratnam, and S. K. Santosh, “A review on design of low noise amplifiers for global navigational satellite system,” AIMS Electronics and Electrical Engineering, vol. 5, no. 3, pp. 206–228, 2021, doi: 10.3934/electreng.2021012.
Satellite and low-power wireless communication systems require flexible and low-cost tools for real-time radiofrequency monitoring, signal identification, and preliminary performance assessment. Conventional spectrum analyzers
and dedicated satellite receivers can be expensive and relatively inflexible for field applications. This paper presents the
design and performance evaluation of a portable software-defined satellite signal analyzer based on a Yagi antenna, lownoise amplifier (LNA), RTL-SDR receiver, ESP32 microcontroller, and HDSDR software. The system was developed to
provide real-time visualization and analysis of RF signals, with experimental monitoring focused on the 433.92 MHz LoRa
band as a representative UHF signal source. The Yagi antenna provides directional reception, while the LNA improves the
received signal level before digitization by the RTL-SDR. HDSDR performs spectrum visualization, waterfall display,
tuning, bandwidth selection, and signal-level monitoring, while the ESP32 provides auxiliary system monitoring and
portable interface functions. Experimental results indicate that the addition of the LNA improved the received signal-tonoise ratio from approximately 6.1 dB to 14.8 dB and increased the detectable signal level by approximately 8.7 dB. The
system successfully identified the 433.92 MHz LoRa carrier and provided continuous spectrum and waterfall visualization.
The proposed analyzer demonstrates the feasibility of combining inexpensive SDR hardware and embedded control into a
compact field-deployable RF monitoring platform. The architecture can be adapted to satellite telemetry and S-band
applications by replacing the antenna and RF front-end components with frequency-appropriate devices.
Keywords :
Software Defined Radio, RTL-SDR, Satellite Signal Monitoring, RF Spectrum Analyzer, LoRa, 433 MHz, Yagi Antenna, LNA, ESP32, HDSDR.