The estimation algorithm of operative capabilities of complex countermeasures to resist UAVs

Igor Korobiichuk , Yuriy G. Danik , Samchyshyn Oleksyj , Sergiy Dupelich , Maciej Kachniarz


The proposed observation model provides for calculating the probability of detection of different types of unmanned aerial vehicle (UAV) at a certain range with regard to their tactical and technical characteristics and security equipment capabilities. The comparison of the obtained values of generalized indicators of security equipment use efficiency is based on a specified criterion. To take into account factors that significantly affect a modeling object, calculations are carried out under specified conditions and restrictions. UAVs should be detected until a covering object gets in a swath width given the time required for countermeasures. Based on the software implementation of the algorithm we have evaluated the efficiency of use of hypothetical security equipment for detecting certain types of UAVs, and defined means of further use or improvement.
Author Igor Korobiichuk (FM / IACR)
Igor Korobiichuk,,
- The Institute of Automatic Control and Robotics
, Yuriy G. Danik - Zhytomyr Military Institute Named After S. Korolyov [Zhytomyr Military Institute of Radioelectronics S.P. Korolyov]
Yuriy G. Danik,,
, Samchyshyn Oleksyj - Zhytomyr Military Institute Named After S. Korolyov
Samchyshyn Oleksyj,,
, Sergiy Dupelich - [Zhytomyr Military Institute of Radioelectronics S.P. Korolyov]
Sergiy Dupelich,,
, Maciej Kachniarz (FM / IMBE)
Maciej Kachniarz,,
- The Institute of Metrology and Biomedical Engineering
Journal seriesSimulation -Transactions of the Society for Modelling and Simulation International, ISSN 0037-5497
Issue year2019
Publication size in sheets0.5
Keywords in Englishalgorithm, complex countermeasures of resistance, security equipment, UAV application efficiency, unmanned aerial vehicle
ASJC Classification1704 Computer Graphics and Computer-Aided Design; 2611 Modelling and Simulation; 1712 Software
Languageen angielski
Score (nominal)70
Score sourcejournalList
ScoreMinisterial score = 70.0, 08-06-2020, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus Citations = 1; GS Citations = 2.0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.874; WoS Impact Factor: 2018 = 1.455 (2) - 2018=1.211 (5)
Citation count*2 (2020-06-28)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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