A Comprehensive Analysis of the Performance and Capabilities of the SDRangel Platform for Automatic Identification System Signal Reception

Sanjin Valčić; Antonio Škrobonja

doi:10.2478/pomr-2026-0015

Abstract

Maritime Automatic Identification System (AIS) monitoring faces critical challenges regarding cost-effectiveness and analytical capabilities. Commercial receivers present significant financial barriers for research and education, while existing software-defined radio (SDR) implementations lack systematic evaluation of advanced analysis tools. This research addresses these gaps by providing comprehensive performance analysis of SDRangel software for AIS signal reception and processing. The research objectives were to evaluate SDRangel’s real-time signal analysis capabilities, assess advanced visualisation tools for maritime traffic monitoring and quantify system reliability through extended acquisition. The experimental setup utilised cost-effective hardware with commercial maritime very high frequency (VHF) antenna. During continuous 24-hour operation, the system successfully demodulated 173,739 AIS messages from both AIS channels. Real-time analysis confirmed high signal stability and demonstrated AIS Time Division Multiple Access (TDMA) structure visualisation; specialised plugins enabled comprehensive vessel tracking and message analysis. Post-processing analysis revealed the detection of a fixed Aid to Navigation (AtoN) station signal at an extreme distance of 193.2 NM, confirming the system’s high sensitivity under specific atmospheric conditions. This research bridges the gap between basic SDR implementations and operational surveillance requirements by demonstrating that SDRangel provides capabilities which were, previously, only available in commercial systems. The software’s modular architecture enables integrated spectral analysis, automated decoding, geographic visualisation, and post-processing, which is essential for research and operational applications. Scientific contributions include empirical validation of open-source SDR reliability, quantitative performance benchmarks and the demonstration of advanced analytical capabilities. Practical advantages encompass significant cost reduction, compared to commercial solutions, flexibility for custom applications, and accessibility for research and education. The findings demonstrate substantial impact potential by democratising access to advanced AIS monitoring, enabling cost-effective research infrastructure for signal propagation studies, and providing comprehensive platforms for maritime communication education.

References

International Telecommunication Union. Recommendation ITU-R M.1371-5. Technical characteristics for an automatic identification system using time division multiple access in the VHF maritime mobile frequency band. September 5, 2025. Retrieved from https://www.itu.int/dms_pubrec/itu-r/rec/m/R-REC-M.1371-5-201402-I!!PDF-E.pdf
Search in Google Scholar Back to article
International Association of Marine Aids to Navigation and Lighthouse Authorities. IALA Guideline G1082. An Overview of AIS, Edition 2.1. September 5, 2025. Retrieved from https://www.iala.int/product/g1082
Search in Google Scholar Back to article
United States Department of Defense, Department of Homeland Security, Department of Transportation. 2021 Federal Radionavigation Plan. November 6, 2025. Retrieved from https://rosap.ntl.bts.gov/view/dot/63024
Search in Google Scholar Back to article
Hu Q, Cao J, Gao G, Xu L, Song M. Study of an Evaluation Model for AIS Receiver Sensitivity Measurements. IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 4, pp. 1118-1126, 2020. https://doi.org/10.1109/TIM.2019.2910341
Search in Google Scholar Back to article
Lee S-B, Kwon J-H, Kim B-Y, Shim W-S, Shon T, Kim E-J. Slot Occupancy-Based Collision Avoidance Algorithm for Very-High-Frequency Data Exchange System Network in Maritime Internet of Things. Applied Sciences. vol. 14, no. 24, pp. 11751, 2024. https://doi.org/10.3390/app142411751
Search in Google Scholar Back to article
Shyshkin O. Cybersecurity Providing for Maritime Automatic Identification System. IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO), Kyiv, Ukraine, pp. 736-740, 2022. https://10.1109/ELNANO54667.2022.9926987
Search in Google Scholar Back to article
Sciancalepore S, Tedeschi P, Aziz A, Di Pietro R. Auth-AIS: Secure, Flexible, and Backward-Compatible Authentication of Vessels AIS Broadcasts. IEEE Transactions on Dependable and Secure Computing, vol. 19, no. 4, pp. 2709-2726, 2022, https://doi.org/10.1109/TDSC.2021.3069428
Search in Google Scholar Back to article
Iphar C, Ray C, Napoli A. Data integrity assessment for maritime anomaly detection, Expert Systems with Applications, vol. 147, 113219, 2020. https://doi.org/10.1016/j.eswa.2020.113219
Search in Google Scholar Back to article
Kiersztyn A, Czerwinski D, Oniszczuk-Jastrzabek A, Czermanski E, Rzepka A. Data Integrity Versus Inference Accuracy in Large AIS Datasets. In: Hamdan, R.K. (eds) Sustainable Data Management. Studies in Big Data, vol. 170. Springer, 2025. https://doi.org/10.1007/978-3-031-83915-3_32
Search in Google Scholar Back to article
Tuttlebee WHW. Software-defined radio: facets of a developing technology. IEEE Personal Communications, vol. 6, no. 2, pp. 38-44, 1999. https://doi.org/10.1109/98.760422
Search in Google Scholar Back to article
Akeela R, Dezfouli B. Software-defined radios: Architecture, state-of-the-art, and challenges. Computer Communications, vol. 128, pp. 106–125, 2018. https://doi.org/10.1016/j.comcom.2018.07.012
Search in Google Scholar Back to article
Oumimoun B, Nahiri L, Idmouida H, Addaim A, Guennoun Z, Minaoui K. Software Defined AIS Receiver Implementation Based on RTL-SDR and GNU Radio. IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), Bandung, Indonesia, pp. 1-5, 2022. https://doi.org/10.1109/APWiMob56856.2022.10014409
Search in Google Scholar Back to article
Cruz FRG, Gania RCM, Garcia BWC, Nob JCR. Software Defined Radio Implementation of a Single Channel Automatic Identification System Receiver. TENCON 2018 - 2018 IEEE Region 10 Conference, Jeju, Korea (South), pp. 2452-2455, 2018. https://doi.org/10.1109/TENCON.2018.8650377
Search in Google Scholar Back to article
Bazec M, Dimc F. Decoding AIS Messages with the use of Low Performance Software Defined Radio. Proceedings of the 13th Annual Baška GNSS Conference, Baska, Croatia, pp. 77–85, 2019.
Search in Google Scholar Back to article
García R, Pirri M, Belcredi G, Rattaro C. Implementation of a Low-cost AIS Transmitter based on SDR. Proceedings of the 2024 Latin America Networking Conference (LANC ‘24). Association for Computing Machinery, New York, NY, USA, 10–17, 2024. https://doi.org/10.1145/3685323.3685325
Search in Google Scholar Back to article
Cruz FRG, Gania RCM, Garcia BWC, Nob JCR. Implementing Automatic Identification System Transmitter on Software Defined Radio. IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), Baguio City, Philippines, pp. 1-4, 2018. https://doi.org/10.1109/HNICEM.2018.8666288
Search in Google Scholar Back to article
Arifin MA, Hasbi W, Kumar N, Khamsah NMN, Nasemudin EN. Performance Measurement of SDR based AIS Transmitter. IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES), Yogyakarta, Indonesia, pp. 1-6, 2022. https://doi.org/10.1109/ICARES56907.2022.9993510
Search in Google Scholar Back to article
Romero-Godoy D, Molina-Padrón N, Cabrera F, Araña V, Jiménez E. Design and implementation of a prototype with a low-cost SDR platform for the next generation of maritime communications. 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC), Gran Canaria, Spain, pp. 1-4, 2022. https://doi.org/10.23919/AT-AP-RASC54737.2022.9814184
Search in Google Scholar Back to article
Marques MM, Teles D, Lobo V, Capela G. Low-cost AIS Transponder using an SDR device. OCEANS 2019 MTS/ IEEE SEATTLE, Seattle, WA, USA, pp. 1-4, 2019. https://doi.org/10.23919/OCEANS40490.2019.8962863
Search in Google Scholar Back to article
Idmouida H, Minaoui K, Guennoun Z. Designing AIS Link based on Software Defined Radio for LEO Satellites. IEEE Ocean Engineering Technology and Innovation Conference: Management and Conservation for Sustainable and Resilient Marine and Coastal Resources (OETIC), Surabaya, Indonesia, pp. 88-92, 2022. https://doi.org/10.1109/OETIC57156.2022.10176248
Search in Google Scholar Back to article
Budroweit J. Software-defined radio with flexible RF front end for satellite maritime radio applications. CEAS Space Journal, 8, 201–213, 2016. https://doi.org/10.1007/s12567-016-0121-9
Search in Google Scholar Back to article
Li P. et al. An SDR Based AIS Digital Receiver for Micro-nano Satellite. International Applied Computational Electromagnetics Society Symposium - China (ACES), Nanjing, China, pp. 1-2, 2019. https://doi.org/10.23919/ACES48530.2019.9060481
Search in Google Scholar Back to article
Khandker S, Turtiainen H, Costin A, Hämäläinen T. Cybersecurity Attacks on Software Logic and Error Handling Within AIS Implementations: A Systematic Testing of Resilience. IEEE Access, vol. 10, pp. 29493-29505, 2022. https://doi.org/10.1109/ACCESS.2022.3158943
Search in Google Scholar Back to article
Freire WP, Melo WS Jr, do Nascimento VD, Nascimento PRM, de Sá AO. Towards a Secure and Scalable Maritime Monitoring System Using Blockchain and Low-Cost IoT Technology. Sensors, 22, 4895, 2022. https://doi.org/10.3390/s22134895
Search in Google Scholar Back to article
Griffiths E. SDRangel. September 9, 2025. Retrieved from https://github.com/f4exb/sdrangel/wiki
Search in Google Scholar Back to article
Scan-Antenna. VHF74 Datasheet. September 9, 2025. Retrieved from https://www.scan-antenna.com/umbraco/surface/product/GetProductForPDF?productId=5365
Search in Google Scholar Back to article
Richards JA. Radio Wave Propagation. Springer Berlin, Heidelberg, Germany, 2008. https://doi.org/10.1007/978-3-540-77125-8
Search in Google Scholar Back to article
Nooelec. NESDR SMArt v5 SDR. September 9, 2025. Retrieved from https://www.nooelec.com/store/sdr/sdr-receivers/nesdr-smart-sdr.html
Search in Google Scholar Back to article
International Telecommunication Union. Recommendation ITU-R P.1546-6. Method for point-to-area predictions for terrestrial services in the frequency range 30 MHz to 4 000 MHz. October 29, 2025. Retrieved from https://www.itu.int/dms_pubrec/itu-r/rec/p/R-REC-P.1546-6-201908-I!!PDF-E.pdf
Search in Google Scholar Back to article
Valčić S, Brčić D. On Detection of Anomalous VHF Propagation over the Adriatic Sea Utilising a Software-Defined Automatic Identification System Receiver. Journal of Marine Science and Engineering, vol. 11, no. 6, pp. 1170, 2023. https://doi.org/10.3390/jmse11061170
Search in Google Scholar Back to article

A Comprehensive Analysis of the Performance and Capabilities of the SDRangel Platform for Automatic Identification System Signal Reception

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