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Identification system for detecting and suppressing unmanned aerial vehicles based on video interception for use in combat conditions

https://doi.org/10.32362/2500-316X-2025-13-3-63-72

EDN: SONRQG

Abstract

Objectives. In the context ofmilitary operations, states face the threats of attacks by unmanned aerial vehicles (UAVs) on vulnerable assets, in particular, those pertaining to law enforcement agencies. Currently, there is no uniform or— more importantly—effective approach to detecting and suppressing certain types of UAVs, in particular, first person view (FPV) drones. The aim of the work is to develop modernized systems for the detection and suppression of enemy unmanned aerial vehicles and to justify their full-scale implementation in the service activities of law enforcement agencies.
Methods. The work used system-structural, comparative-legal, and measurement research methods along with analysis, observation, and field modeling. In addition, the research refers to generalized and systematized experience of using UAVs in combat conditions.
Results. The structure, basic tactical and technical characteristics are described according to the principle of operation of the identification complex for detecting and suppressing UAVs, having the ability to intercept analog radio signals carrying video information, which makes it possible to effectively detect and counteract enemy UAVs at a considerable distance. An algorithm of actions to be taken by law enforcement officers when using this complex is also developed and described. Proposals for creating a hardware and software system based on the complex with the possibility of spoofing a video stream are outlined.
Conclusions. The results of the study indicate the need to supply law enforcement agencies with an identification system for detecting and suppressing UAVs having the ability to intercept an analog radio signal carrying video information. The use of such a system across a wide area subject to UAV attacks will significantly improve the effectiveness of alerting all categories of employees and civilians, as well as contributing to the establishment of airspace control and improving the effectiveness of the fight against UAVs.

About the Authors

A. A. Konik
I.D. Putilin Belgorod Law Institute of the Ministry of Internal Affairs of Russia
Russian Federation

Alexey A. Konik, Cand. Sci. (Ped.), Associate Professor, Deputy Head of the Department of Tactical and Special
Training 
71, Gor’kogo ul., Belgorod, 308024 Russia


Competing Interests:

The authors declare no conflicts of interest



R. E. Afonin
I.D. Putilin Belgorod Law Institute of the Ministry of Internal Affairs of Russia
Russian Federation

Roman E. Afonin, Senior Lecturer, Department of Physical Training
71, Gor’kogo ul., Belgorod, 308024 Russia


Competing Interests:

The authors declare no conflicts of interest



I. M. Klimov
FKU NGO “STiS”, Ministry of Internal Affairs of Russia
Russian Federation

Ivan M. Klimov, Head of the Department for the Development of Means to Counter the Functioning of Unmanned Vehicles
2, Prud Klyuchiki ul., Moscow, 111024 Russia


Competing Interests:

The authors declare no conflicts of interest



D. S. Zinchenko
FKU NGO “STiS”, Ministry of Internal Affairs of Russia
Russian Federation

Dmitry S. Zinchenko, Senior Researcher, Department for the Development of Means to Counter the Functioning of Unmanned Vehicles
2, PrudKlyuchikiul., Moscow, 111024 Russia


Competing Interests:

The authors declare no conflicts of interest



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Supplementary files

1. Самодельное взрывное устройство, примененное при атаке беспилотными воздушными судами
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Type Исследовательские инструменты
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  • The structure, basic tactical and technical characteristics are described according to the principle of operation of the identification complex for detecting and suppressing unmanned aerial vehicles (UAVs), having the ability to intercept analog radio signals carrying video information, which makes it possible to effectively detect and counteract enemy UAVs at a considerable distance.

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For citations:


Konik A.A., Afonin R.E., Klimov I.M., Zinchenko D.S. Identification system for detecting and suppressing unmanned aerial vehicles based on video interception for use in combat conditions. Russian Technological Journal. 2025;13(3):63-72. https://doi.org/10.32362/2500-316X-2025-13-3-63-72. EDN: SONRQG

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ISSN 2782-3210 (Print)
ISSN 2500-316X (Online)