Improving a method for determining the coordinates of a reconnaissance unmanned aerial vehicle by a small-based network of two software-defined radio receivers

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.341735

Keywords:

unmanned aerial vehicle, small-base network, Software-Defined Radio receiver, bearing

Abstract

This study investigates the process for determining the coordinates of a reconnaissance unmanned aerial vehicle. The task addressed relates to determining the coordinates of a reconnaissance unmanned aerial vehicle using a small-scale network of mobile passive location devices.

A method for determining the coordinates of a reconnaissance unmanned aerial vehicle has been improved, which, unlike known ones, involves:

– determining bearings for a reconnaissance unmanned aerial vehicle;

– using the triangulation method.

The accuracy of determining the coordinates of a reconnaissance unmanned aerial vehicle by a small-scale network of two Software-Defined Radio receivers has been assessed. It has been established that the shape and orientation of the error ellipses depends on the position of the reconnaissance unmanned aerial vehicle relative to the Software-Defined Radio receivers. The accuracy of determining the coordinates significantly deteriorates in cases where the polar angle of observation from the center of the base approaches 0° or 180°. The highest accuracy of determining coordinates is achieved when the reconnaissance unmanned aerial vehicle is located on the traverse to the middle of the base.

It has been established that for small bases there is a more pronounced unevenness of the dependence of accuracy on the position of the reconnaissance unmanned aerial vehicle compared to larger bases. At long ranges, errors for small bases increase sharply. It has been established that with a decrease in the base length, the area of the error ellipses increases, which indicates a deterioration in the potential accuracy characteristics of the system and an increase in the average circular error. At the same time, the geometric features are preserved, the orientation of the ellipses and the nature of their location relative to the base line remain constant

Author Biographies

Igor Ruban, Kharkiv National University of Radio Electronics

Doctor of Technical Sciences, Professor

Rector

Hennadii Khudov, Ivan Kozhedub Kharkiv National Air Force University

Doctor of Technical Sciences, Professor, Head of Department

Department of Radar Troops Tactic

Yelyzaveta Biernik, Ivan Kozhedub Kharkiv National Air Force University

Adjunct

Department of Radar Troops Tactic

Oleksandr Makoveichuk, Higher Education Institution "Academician Yuriy Bugay International Scientific and Technical University"

Doctor of Technical Sciences, Associate Professor

Department of Computer Sciences and Software Engineering

Volodymyr Maliuha, State Scientific Research Institute of Armament and Military Equipment Testing and Certification

Doctor of Military Sciences, Associate Professor

Head of the Research Laboratory

Serhii Yarovyi, Ivan Kozhedub Kharkiv National Air Force University

PhD, Senior Lecturer

Department of Combat Use of Radar Armament

Rostyslav Khudov, V. N. Karazin Kharkiv National University

Department of Theoretical and Applied Informatics

Vladyslav Khudov, Kharkiv National University of Radio Electronics

PhD, Junior Researcher

Department of Information Technology Security

Leonid Poberezhnyi, Ivan Kozhedub Kharkiv National Air Force University

Senior Researcher

Scientific Research Department

Olena Goncharenko, State Scientific Research Institute of Armament and Military Equipment Testing and Certification

PhD, Associate Professor, Leading Researcher

References

  1. Goldstein, L., Waechter, N. (2023). Chinese Strategists Evaluate the Use of 'Kamikaze' Drones in the Russia-Ukraine War. Rand. Available at: https://www.rand.org/pubs/commentary/2023/11/chinese-strategists-evaluate-the-use-ofkamikaze-drones.html
  2. Grigore, L., Cristescu, C. (2024). The Use of Drones in Tactical Military Operations in the Integrated and Cybernetic Battlefield. Land Forces Academy Review, 29 (2), 269–273. https://doi.org/10.2478/raft-2024-0029
  3. Riabukha, V. P. (2020). Radar Surveillance of Unmanned Aerial Vehicles (Review). Radioelectronics and Communications Systems, 63 (11), 561–573. https://doi.org/10.3103/s0735272720110011
  4. Hrudka, O. (2024). Russian drone manufacturer ‘Orlan-10’ ramps up production despite sanctions, Inform Napalm reports. Available at: https://euromaidanpress.com/2024/01/13/russian-drone-manufacturer-orlan-10-ramps-up-production-despite-sanctions-inform-napalm-reports/
  5. British intelligence: Russian radar destroyed in missile attack on Belbek in Crimea (2024). Available at: https://mind.ua/en/news/20269399-british-intelligence-russian-radar-destroyed-in-missile-attack-on-belbek-in-crimea
  6. Khudov, H., Makoveichuk, O., Kostyria, O., Butko, I., Poliakov, A., Kozhushko, Y. et al. (2024). Devising a method for determining the coordinates of an unmanned aerial vechicle via a network of portable spectrum analyzers. Eastern-European Journal of Enterprise Technologies, 6 (9 (132)), 97–107. https://doi.org/10.15587/1729-4061.2024.318551
  7. Khudov, H., Kostianets, O., Kovalenko, O., Maslenko, O., Solomonenko, Y. (2023). Using Software-Defined radio receivers for determining the coordinates of low-visible aerial objects. Eastern-European Journal of Enterprise Technologies, 4 (9 (124)), 61–73. https://doi.org/10.15587/1729-4061.2023.286466
  8. Boussel, P. (2024). The Golden Age of Drones: Military UAV Strategic Issues and Tactical Developments. Available at: https://trendsresearch.org/insight/the-golden-age-of-drones-military-uav-strategic-issues-and-tactical-developments/?srsltid=AfmBOoptC41niCzbAJGHOTcUhRGJpWEW_y7hHLkJ_5hkabW_fIBS5sZ
  9. Melvin, W. L., Scheer, J. (2012). Principles of Modern Radar: Advanced techniques. The Institution of Engineering and Technology. https://doi.org/10.1049/sbra020e
  10. Melvin, W. L., Scheer, J. A. (2013). Principles of Modern Radar: Volume 3: Radar Applications. The Institution of Engineering and Technology. https://doi.org/10.1049/sbra503e
  11. Lishchenko, V., Kalimulin, T., Khizhnyak, I., Khudov, H. (2018). The Method of the organization Coordinated Work for Air Surveillance in MIMO Radar. 2018 International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo), 1–4. https://doi.org/10.1109/ukrmico43733.2018.9047560
  12. Neyt, X., Raout, J., Kubica, M., Kubica, V., Roques, S., Acheroy, M., Verly, J. G. (2006). Feasibility of STAP for Passive GSM-Based Radar. 2006 IEEE Conference on Radar, 546–551. https://doi.org/10.1109/radar.2006.1631853
  13. Willis, N. J. (2004). Bistatic Radar. The Institution of Engineering and Technology. https://doi.org/10.1049/sbra003e
  14. Semenov, S., Jian, Y., Jiang, H., Chernykh, O., Binkovska, A. (2025). Mathematical model of intelligent UAV flight path planning. Advanced Information Systems, 9 (1), 49–61. https://doi.org/10.20998/2522-9052.2025.1.06
  15. Ruban, I., Khudov, H., Lishchenko, V., Pukhovyi, O., Popov, S., Kolos, R. et al. (2020). Assessing the detection zones of radar stations with the additional use of radiation from external sources. Eastern-European Journal of Enterprise Technologies, 6 (9 (108)), 6–17. https://doi.org/10.15587/1729-4061.2020.216118
  16. Multilateration (MLAT). Concept of Use. Available at: https://www2023.icao.int/APAC/Documents/edocs/mlat_concept.pdf
  17. Luo, D., Wen, G. (2024). Distributed Phased Multiple-Input Multiple-Output Radars for Early Warning: Observation Area Generation. Remote Sensing, 16 (16), 3052. https://doi.org/10.3390/rs16163052
  18. Kalkan, Y. (2024). 20 Years of MIMO Radar. IEEE Aerospace and Electronic Systems Magazine, 39 (3), 28–35. https://doi.org/10.1109/maes.2023.3349228
  19. Barabash, O., Kyrianov, A. (2023). Development of control laws of unmanned aerial vehicles for performing group flight at the straight-line horizontal flight stage. Advanced Information Systems, 7 (4), 13–20. https://doi.org/10.20998/2522-9052.2023.4.02
  20. Khudov, H., Hryzo, A., Oleksenko, O., Repilo, I., Lisohorskyi, B., Poliakov, A. et al. (2025). Devising a method for determining the coordinates of an air object by a network of two SDR receivers. Eastern-European Journal of Enterprise Technologies, 1 (9 (133)), 62–68. https://doi.org/10.15587/1729-4061.2025.323336
  21. Weber, C., Peter, M., Felhauer, T. (2015). Automatic modulation classification technique for radio monitoring. Electronics Letters, 51 (10), 794–796. https://doi.org/10.1049/el.2015.0610
Improving a method for determining the coordinates of a reconnaissance unmanned aerial vehicle by a small-based network of two software-defined radio receivers

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Published

2025-10-28

How to Cite

Ruban, I., Khudov, H., Biernik, Y., Makoveichuk, O., Maliuha, V., Yarovyi, S., Khudov, R., Khudov, V., Poberezhnyi, L., & Goncharenko, O. (2025). Improving a method for determining the coordinates of a reconnaissance unmanned aerial vehicle by a small-based network of two software-defined radio receivers. Eastern-European Journal of Enterprise Technologies, 5(9 (137), 6–13. https://doi.org/10.15587/1729-4061.2025.341735

Issue

Vol. 5 No. 9 (137) (2025): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2025 Igor Ruban, Hennadii Khudov, Yelyzaveta Biernik, Oleksandr Makoveichuk, Volodymyr Maliuha, Serhii Yarovyi, Rostyslav Khudov, Vladyslav Khudov, Leonid Poberezhnyi, Olena Goncharenko

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