Spectrum Management Methods for Enhancing UAV Resilience to Electronic Countermeasures in Complex Interference Environments

Authors

DOI:

https://doi.org/10.31861/sisiot2026.1.01011

Keywords:

spectrum monitoring, spectrum management, UAV, EW, compressed sensing

Abstract

The article explores the operational resilience of Unmanned Aerial Vehicles (UAVs) amid the escalating tensions of hybrid conflicts, where the integration of drones into operational-tactical systems grants strategic importance to spectral monitoring and spectrum management. The modern electromagnetic environment in combat zones characterized by high signal density, a broad array of interference sources, and active electronic warfare systems that directly jeopardize the stability of control channels, navigation (GNSS), and intelligence data transmission for UAVs. The study provides an overview of IEEE and MIL-STD standards, along with a comparative analysis of spectrum sensing methods. The findings demonstrate that conventional solutions no longer meet contemporary challenges regarding universality and operational precision in combat scenarios, justifying the need to optimize monitoring algorithms for enhanced performance in high-interference environments.

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Author Biographies

  • Serhii Kaduk, Ivan Kozhedub Kharkiv National University of Air Forces

    Scientific Center of the Air Force Ivan Kozhedub Kharkov National University of Air Forces, Kharkiv, Ukraine. Research Interests: modeling of ensembles of complex signals, cognitive radio networks, artificial intelligence and telecommunications.

  • Volodymyr Lysechko, Ivan Kozhedub Kharkiv National University of Air Forces

    Dr Sc. Professor, Scientific Center of the Air Force Ivan Kozhedub Kharkov National University of Air Forces, Kharkiv, Ukraine. Research Interests: modeling of wireless intelligent telecommunication networks, increasing noise immunity, methods for managing complex structured data in distributed telecommunication systems, spectral monitoring, neural networks, computer modeling, innovative telecommunication technologies according to NATO standards.

  • Galina Cherneva, Todor Kableshkov Transport University

    Doctor of Sciences, Professor. Todor Kableshkov Transport University: Sofia, Bulgaria. Research Interests: signal processing, application of chaotic signals in communication, information theory, synthesis and analysis of electrical circuits, energy efficiency.

  • Halyna Shubina, Ivan Kozhedub Kharkiv National University of Air Forces

    Educational Department of Ivan Kozhedub Kharkiv National Air Force University, Kharkiv, Ukraine. Main scientific interests include: modeling of wireless networks, spectral monitoring, innovative telecommunications technologies according to NATO standards.

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Published

2026-06-30

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Articles

How to Cite

[1]
S. Kaduk, V. Lysechko, G. Cherneva, and H. Shubina, “Spectrum Management Methods for Enhancing UAV Resilience to Electronic Countermeasures in Complex Interference Environments”, SISIOT, vol. 4, no. 1, p. 01011, Jun. 2026, doi: 10.31861/sisiot2026.1.01011.

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