Software analytical stochastic model of operational functional behavior of the electronic complex for detecting unmanned aerial vehicles-Reference-Cited by-同舟云学术

Software analytical stochastic model of operational functional behavior of the electronic complex for detecting unmanned aerial vehicles

Published:2023-09 Issue:2 Volume:3 Page:126-149
ISSN:2786-4553
Container-title:Information and communication technologies, electronic engineering
language:
Short-container-title:ICTEE

Author:

Volochiy B.^ORCID, ,Onishchenko V.^ORCID,Ozirkovskyy L.^ORCID, ,

Abstract

The article considers an electronic system for detecting unmanned aerial vehicles, which includes a radar system, an optoelectronic system, a thermal imaging system, and an acoustic system. In information technology, the development of a software discrete-continuous stochastic model of the operational behavior of an electronic complex is an important stage in the creation of a structural-automatic model. The creation of a structural-automatic model is described in the article in the following sequence: description of the selected algorithm for the functioning of the electronic complex; verbal model of the operational functional behavior of the electronic complex; according to the verbal model, the development of a reference graph of states and transitions is described; on the basis of the reference graph of states and transitions, a structural-automatic model of operational behavior is formed; the need to verify the developed structural-automatic model is indicated. The combination of the structural-automatic model of operational behavior with the ASNA-2 software module forms a software stochastic model. The software stochastic model is designed to solve the problems of system engineering design (analysis and synthesis) of an electronic complex. The structural-automatic model allows the Designer to set any values of the performance indicators of the systems that are included in the electronic complex. The ASNA-2 software module automates the construction of state graphs based on the structural automated model; according to the state graph, it generates and solves the Kolmogorov-Chopman system of differential equations. By validating the software stochastic model, the reliability of the results to be obtained by the Projector was verified.

Publisher

Lviv Polytechnic National University

Reference23 articles.

1. [1] "Сounter-drone systems", 2nd Edition, Arthur Holland Michel, December 2019. Access mode: https://www.calameo.com/read/000009779458ad0134023, Date of access: 17.08.2023

2. [2] С.D. Vyshnevsky, L.V. Beilis, & V.Y. Klimchenko, "Potential capabilities of radar systems of radio engineering troops to detect operational and tactical unmanned aerial vehicles", Science and Technique of the Air Force of the Armed Forces of Ukraine, 2017, № 2, pp. 92-98. Access mode: http://nbuv.gov.ua/UJRN/Nitps_2017_2_21

3. Methods for detection-recognition of radar, acoustic, optical and infrared signals of unmanned aerial vehicles;Kartashov;Radiotekhnika 2(205) рр,2021

4. [4] "Questions to Ask When Researching Counter Unmanned Aerial Systems", U.S. Department of Homeland Security Science and Technology Directorate, 2019. Access mode: https://www.dhs.gov/sites/default/files/publications/c-uas-responder-qs-poster_20august2020_final.pdf

5. [5] A.O. Herasymenko, S.Ya. Zhuk, "Analysis of the Efficiency of the Kalman-Type Correlation Algorithm for Tracking of a Small UAV in the Presence of Uncorrelated Interference", National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (87), pp. 22 29, doi: 10.20535/RADAP.2021.87.22-29. Access mode: https://ela.kpi.ua/bitstream/123456789/56163/1/1754-4994-1-10-20211230.pdf Date of access: 17.08.2023.