Keywords: unmanned aerial vehicles, global navigation satellite systems, navigation receivers, radio frequency interference, navigation stability
UDC 623.746.-519
DOI: 10.26102/2310-6018/2026.55.4.013
In most modern unmanned aerial vehicles (UAVs), global navigation satellite systems (GNSS) are used as the main means of determining spatial position. However, civilian navigation signals have low energy security and are vulnerable to deliberate radio frequency influences at the physical level, such as signal suppression and substitution, which can lead to loss of navigation solutions or the formation of false coordinates. The purpose of this work is an experimental analysis of the stability of UAV navigation receivers to deliberate radio frequency influences and an assessment of the influence of interfering signal parameters on the reliability of receiving GNSS navigation information. As part of the study, the frequency and signal characteristics of GPS, GLONASS, Galileo and BeiDou systems were analyzed, as well as experimental measurements of the signal-to-noise ratio C/N₀ when exposed to barrage interference of various power and geometry of the interference source location. Additionally, the effect of shielding the navigation receiver was investigated and an asynchronous attack using software-defined radio devices was implemented. As a result, it was found that a decrease in C/N₀ below 25–28 dB·Hz leads to a loss of stable navigation reception, regardless of the navigation system used. It is shown that low-power sources of interference can disrupt the navigation support of UAVs at distances up to several hundred meters, and the shielding of the receiver reduces the effectiveness of interference, but does not provide complete protection.
1. Hashim H.A. Advances in UAV avionics systems architecture, classification and integration: A comprehensive review and future perspectives. Results in Engineering. 2025;25. https://doi.org/10.1016/j.rineng.2024.103786
2. Zhao T., Zhang Y., Wang M., et al. A critical review on the battery system reliability of drone systems. Drones. 2025;9(8). https://doi.org/10.3390/drones9080539
3. Dobryakova L.A., Lemieszewski Ł.S., Ochin E.F. Global navigation satellite systems attacks and a cloud-based spoofing detection for unmanned ships. Ural Radio Engineering Journal. 2018;2(2):40–56. https://doi.org/10.15826/urej.2018.2.2.003
4. Boguspayev N., Akhmedov D., Kobdikova Sh., Savelyev Ye. Development of a GNSS radio signal reception and processing module based on SDR technology. Bulletin of the Kazakh Academy of Transport and Communications named after M. Tynyshpayev. 2025;(1):88–95. (In Russ.).
5. Valaitite A.A., Nikitin D.P., Sadovskaya E.V. Investigation of the multipath effect on the estimation of the GNSS signal parameters using simulator of navigation field. Trudy MAI. 2014;(77). (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=53172
6. Fedotovskikh A.V. Features of the development and operation of civilian unmanned aircraft systems with artificial intelligence technologies in the Arctic zone of the Russian Federation. Moscow: Ai Pi Ar Media; 2022. 277 p. (In Russ.).
7. Ni Sh., Ren B., Chen F., et al. GNSS spoofing suppression based on multi-satellite and multi-channel array processing. Frontiers in Physics. 2022;10. https://doi.org/10.3389/fphy.2022.905918
8. Mendu B., Mbuli Nh. State-of-the-art review on the application of unmanned aerial vehicles (UAVs) in power line inspections: Current innovations, trends, and future prospects. Drones. 2025;9(4). https://doi.org/10.3390/drones9040265
9. Meitivyeki M.M., Liu H. Global positioning system signal verification through correlation function distortion and received power tracking. Journal of Technology and Systems. 2024;6(3):34–51. https://doi.org/10.47941/jts.1835
10. Hamza V., Stopar B., Sterle O., Pavlovčič-Prešeren P. Recent advances and applications of low-cost GNSS receivers: a review. GPS Solutions. 2025;29(1). https://doi.org/10.1007/s10291-025-01815-x
11. Hu J., Wu Yu., Su Sh. Flexible prescribed performance tracking control for receiver UAV with actuator faults and constraints. Journal of the Franklin Institute. 2025;362(16). https://doi.org/10.1016/j.jfranklin.2025.108033
12. Saber M.J., Hasna M., Badarneh O.S. THz-enabled UAV communications under pointing errors: tractable statistical channel modeling and security analysis. IEEE Open Journal of Vehicular Technology. 2025;6:801–811. https://doi.org/10.1109/OJVT.2025.3547244
Keywords: unmanned aerial vehicles, global navigation satellite systems, navigation receivers, radio frequency interference, navigation stability
For citation: Stupina A.A., Kukartsev V.V., Kirill K.I., Masyuk M.A. Experimental analysis of the stability of unmanned aerial vehicles multi-system GNSS receivers to deliberate radio frequency impacts. Modeling, Optimization and Information Technology. 2026;14(4). URL: https://moitvivt.ru/ru/journal/article?id=2205 DOI: 10.26102/2310-6018/2026.55.4.013 (In Russ).
© Stupina A.A., Kukartsev V.V., Kirill K.I., Masyuk M.A. Статья опубликована на условиях лицензии Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NS 4.0)Received 07.02.2026
Revised 17.04.2026
Accepted 22.04.2026