Methodology for assessing the likelihood of completing a given task by an unmanned aerial vehicle

Methodology for assessing the likelihood of completing a given task by an unmanned aerial vehicle

Michael S. Andryushchenko
Doctor of Technical Science, Military Order of Zhukov Institute of National Guard Troops of the Russian Federation, Professor of the Department of Military Scientific Research, 1, ul. L. Pilyutova, Saint Petersburg, 198206, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Alexander M. Golik
Doctor of Technical Science, Professor, Military Order of Zhukov Institute of National Guard Troops of the Russian Federation, Head of the Department of Military Scientific Research, 1, ul. L. Pilyutova, Saint Petersburg, 198206, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Sergey A. Sahnov
Military Order of Zhukov Institute of National Guard Troops of the Russian Federation, Adjunct of the Department of Military Scientific Research, 1, ul. L. Pilyutova, Saint Petersburg, 198206, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Sergey N. Tereshin
Military Order of Zhukov Institute of National Guard Troops of the Russian Federation, Adjunct of the Department of Military Scientific Research, 1, ul. L. Pilyutova, Saint Petersburg, 198206, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.


Received November 21, 2023

Abstract
The article discusses a method for assessing the likelihood of a combat mission being accomplished by an unmanned aerial vehicle in conditions of countermeasure from attacked object. Countermeasures should be used when there is a threat of UAV intrusion into the territory of a protected facility or a direct attack on a guarded facility. The countermeasures process is divided into two main stages: detection (recognition, classification) of an attacking UAV and the effective countermeasure usage. When assessing the effectiveness of a countermeasures system, models are used: a UAV, a protected object, and the process of performing a combat mission by an unmanned aerial vehicle.

Key words
Unmanned aerial vehicle, detection system, countermeasures system, model, algorithm.

DOI
10.31776/RTCJ.12202

 

Bibliographic description
Andryushchenko, M.S., Golik, A.M., Sahnov, S.A. and Tereshin, S.N. (2024), "Methodology for assessing the likelihood of completing a given task by an unmanned aerial vehicle", Robotics and Technical Cybernetics, vol. 12, no. 2, pp. 94-98, DOI: 10.31776/RTCJ.12202. (in Russian).

UDC identifier
004.942:629.58

References

  1. Andrjushhenko, M.S., Golik, A.M. and Sahnov, S.A. (2023), "Methodology for assessing the effectiveness of the system of counteraction to unmanned aerial vehicles", Izvestija Rossijskoj akademii raketnyh i artillerijskih nauk, 3(128), pp. 104-107, DOI: 10.53816/20753608_2023_3_104, EDN: HLCGXG.
  2. Andrjushhenko, M.S., Golik, A.M. and Sahnov, S.A. (2023), "The approaches to the organization of countermeasure to unmanned aerial vehicles", Izvestija Rossijskoj akademii raketnyh i artillerijskih nauk, 1(126), pp. 15-21, EDN: ATVFED.
  3. Aleshin, I.N., Andrjushhenko, M.S. and Kurtc, D.V. (2020), "Protection of armored vehicles and military equipment from unmanned aerial vehicles", in Trudy XXIII Vserossijskoj nauchno-prakticheskoj konferencii RARAN "Aktual'nye problemy zashhity i bezopasnosti" [Proceedings of the XXIII All-Russian Scientific and Practical Conference of the Russian Academy of Sciences "Current problems of protection and security"], St. Petersburg, Russia, 01–04 April, 2020, vol. 3, pp. 426-431, EDN: GQHDHB.
  4. Sahnov, S.A. et al., Federal State Treasury Military Educational Institution of Higher Education " Petersburg Military Institute of the Order of Zhukov of the National Guard Troops of the Russian Federation" (2023), Bespilotnye letatel'nye apparaty otechestvennogo i zarubezhnogo proizvodstva, predstavljajushhie ugrozu dlja ob’ektov, ohranjaemyh (soprovozhdaemyh) vojskami nacional'noj gvardii Rossijskoj Federacii [Unmanned aerial vehicles of domestic and foreign production that pose a threat to objects guarded (accompanied) by troops of the National Guard of the Russian Federation], Russia, Pat. no. 2023621248. (in Russian).
  5. Sahnov, S.A., Andrjushhenko, M.S. and Golik, A.M., Federal State Treasury Military Educational Institution of Higher Education " Petersburg Military Institute of the Order of Zhukov of the National Guard Troops of the Russian Federation" (2023), Radiolokacionnaja zametnost' bespilotnyh letatel'nyh apparatov [Radar signature of unmanned aerial vehicles], Russia, Pat. no. 2023621579. (in Russian).
  6. Makarenko, S.I. (2020), Protivodejstvie bespilotnym letatel'nym apparatam [Countering unmanned aerial vehicles], Naukoemkie tehnologii, St. Petersburg, Russia.
  7. Andrjushhenko, M.S. and Sahnov, S.A. (2023), "Small-sized generators of powerful electromagnetic radiation", in Trudy XXVI Vserossijskoj nauchno-prakticheskoj konferencii RARAN "Aktual'nye problemy zashhity i bezopasnosti" [Proceedings of the XXVI All-Russian Scientific and Practical Conference of the Russian Academy of Sciences "Current problems of protection and security"], St. Petersburg, Russia, 03–06 April, 2023, vol. 2, pp. 599-604, EDN: HNTJVQ.
  8. Baljuk, N.V., Davydov, A.A. and Krohalev, D.I. (2020), "Methodology for confirming the compliance of weapons and military equipment with specified requirements for electromagnetic immunity and safety", Technologies of electromagnetic compatibility, 1, pp. 49-62.
  9. Sahnov, S.A., Andrjushhenko, M.S. and Golik, A.M., Federal State Treasury Military Educational Institution of Higher Education " Petersburg Military Institute of the Order of Zhukov of the National Guard Troops of the Russian Federation" (2023), Programma imitacionnogo modelirovanija processa vypolnenija boevoj zadachi bespilotnym letatel'nym apparatom [Simulation program for the process of performing a combat mission by an unmanned aerial vehicle], Russia, Pat. no. 2023664878. (in Russian).