OPTIMIZATION OF JOINT SEARCH AND DETECTION OF OBJECTS IN TECHNICAL SURVEILLANCE SYSTEMS

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DOI: https://doi.org/10.20998/2522-9052.2020.2.23
Keywords:
technical surveillance system, area of view, joint search and detection of objects, minimum average risk criterion, optimal Bayes decision rule

Main Article Content

Hennadii Khudov
Ivan Kozhedub Kharkiv National Air Force University, Kharkiv
https://orcid.org/0000-0002-3311-2848
Kristina Tahyan
Ivan Kozhedub Kharkiv National Air Force University, Kharkiv
https://orcid.org/0000-0003-0087-9601
Viacheslav Chepurnyi
Ivan Kozhedub Kharkiv National Air Force University, Kharkiv
https://orcid.org/0000-0002-1341-1904
Irina Khizhnyak
Ivan Kozhedub Kharkiv National Air Force University, Kharkiv
https://orcid.org/0000-0003-3431-7631
Konstantin Romanenko
Ivan Kozhedub Kharkiv National Air Force University, Kharkiv
https://orcid.org/0000-0003-3107-3475
Artem Nevodnichii
Ivan Kozhedub Kharkiv National Air Force University, Kharkiv
https://orcid.org/0000-0003-4572-8807
Olexandr Yakovenko
Ivan Kozhedub Kharkiv National Air Force University, Kharkiv
https://orcid.org/0000-0002-7099-9011

Abstract

The subject matter of the article is joint search and detection of objects in technical surveillance system. The goal is solve the problem of optimizing joint search and detection of objects in technical surveillance system and develop a method for assessing the effectiveness of joint search and detection of objects for technical surveillance systems. Results. Introduced the current discrete area of view. The task of finding the optimal Bayes decision-making rule in the introduced current discrete area of view is posed and solved. The specified Bayes optimal decision rule is formulated. Proposes the efficiency estimation method of joint search and detection of objects for surveillance technical systems. An algorithm has been developed for calculating the unconditional probability of detecting an object of surveillance during a joint search and detection of objects in technical surveillance systems. Conclusions. Shown, that a joint search and detection of the objects of surveillance using a uniformly optimal search strategy provides a higher unconditional probability of the correct detection of the object of surveillance. In future research, it is necessary to assess the average time that is needed to detect the object of surveillance during the joint search and detection of objects and uniform distribution of the search potential of technical surveillance systems.

Article Details

How to Cite
Khudov, H., Tahyan, K., Chepurnyi, V., Khizhnyak, I., Romanenko, K., Nevodnichii, A., & Yakovenko, O. (2020). OPTIMIZATION OF JOINT SEARCH AND DETECTION OF OBJECTS IN TECHNICAL SURVEILLANCE SYSTEMS. Advanced Information Systems, 4(2), 156–162. https://doi.org/10.20998/2522-9052.2020.2.23
Issue
Vol. 4 No. 2 (2020): Advanced Information Systems
Section
Applied problems of information systems operation
Author Biographies

Hennadii Khudov, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv

doctor of Technical Sciences, Professor, Head of Department

Kristina Tahyan, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv

Research Associate

Viacheslav Chepurnyi, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv

Department of Tactic and Military Disciplines

Irina Khizhnyak, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv

Candidate of Technical Sciences, Lecturer of the Department of Mathematical and Software of ACS

Konstantin Romanenko, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv

cadet

Artem Nevodnichii, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv

cadet

Olexandr Yakovenko, Ivan Kozhedub Kharkiv National Air Force University, Kharkiv

cadet

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