Increasing the stability of image restoration in unmanned systems under the influence of noise interference with the Gaussian form of the distribution of random variables
Abstract
Purpose: the purpose of the article is to substantiate the analytical approach to modeling the process of testing a class of information-control systems with multi-sensory channels of information interaction under the influence of destabilizing factors. This method makes it possible to increase the stability of the functioning of the information and control system in the conditions of destabilizing factors and restore the input process when the destabilizing factors have a Gaussian form of distribution of random variables.
Method: the main research method is the method of statistical modeling of the inverse restoration of the digital information output process with a disturbed evaluation matrix of the system's impulse response.
Findings: the paper presents the results of modeling the process of testing a class of information-control systems with multi-sensory channels of information interaction and increasing the stability of the functioning of such systems under conditions of destabilizing factors, which allows to restore the input process when the destabilizing factors have a Gaussian distribution of random variables.
Theoretical implications: the main results of the research on the topic of the article are: improvement of the structure of the modeling complex of the process of restoration of discrete images in unmanned systems of military vehicle equipment.
Downloads
References
Klymenko V.V., Sukhin O.V., Kotov D.O., Serdyuk O.V. (2019). Analiz dzherel ta prychyn vynyknennya destabilizuyuchykh faktoriv v informatsiyno-kerovaniy systemi bezpilotnoho avtomobilya [Analysis of sources and causes of destabilizing factors in the information-controlled system of an unmanned vehicle]. Systemy ozbroyennya i viysʹkova tekhnika: KHNUPS Kharkiv. 2019. №2 (58). С. 111-121. https://doi.org/10.30748/soivt.2019.58.14.
Klymenko V.V., Kotov D.A., Petryk YU.M., Kovalʹ YU.Y., Marchenko V.P. (2021). Problema imitatsionnogo modelirovaniya protsessov funktsionirovaniya mnogosensornoy informatsionno-upravlyayushchey sitemy avtomobilya v usloviyakh destabiliziruyushchikh vozdeystviy [The problem of simulation modeling of the functioning processes of a multi-sensor information and control system of a car under conditions of destabilizing influences]. Zbirnyk naukovykh pratsʹ Viysʹkovoyi akademiyi (m. Odesa). 2021. 2(16). С. 181-190. https://doi.org/10.37129/2313-7509.2021.16.181-190.
Kotov, D. A generalized model of an adaptive information-control system of a car with multi-sensor channels of information interaction. Applied Aspects of Information Technology. 2021; Vol. 5, No. 1: 25-34. https://doi.org/10.15276/aait.05.2022.2.
Chepkii, V., Skachkov, V., Yefimchikov, O., Nabok, V. & Yelchaninov, O. A technological approach to solving the problem of minimizing the impact of destabilizing factors on the operation of distributed structures of the ground robotic complex in the integrated project “OBJECT-SYSTEM” . Collection of scientific works of the Military Academy (Odesa), 2019, Vol. 1, №11, 5-19. https://doi.org/10.37129/2313-7509.2019.11.5-19.
Skachkov, V., Chepkii, V., Yefimchikov, O., & Nabok, V. The problem of optimality of adaptive radio engineering systems in a situation with an unclassified training sample of observations” . Collection of scientific works of the Military Academy (Odesa), 2022, № 2 (18). 66–77. https://doi.org/10.37129/2313-7509.2022.18.66-77.
Skachkov, V., Chepkii, V., Yefimchikov, O., Nabok, V., & Yelchaninov, O. Asymptotic Optimality of Adaptive Systems with Alternative Standards in Unclassified Learning Situations . Cybern Syst Anal, 2023, Vol.59, 624–632. https://doi.org/10.1007/s10559-023-00597-9.
Khudov, H., Trofymov, I., Repilo, I., Makoveichuk, O., Tkachenko, V., Kotov, D., Gridina, V., Herda, M., Kryvosheiev, V., & Shvets, M. (2024). Devising a method for detecting an aerial object by radar with an additional channel of passive reception . Eastern-European Journal of Enterprise Technologies, 5(9 (131), 28–35. https://doi.org/10.15587/1729-4061.2024.313161.
Kotov, D., & Klymenko, V. (2023). Testing of the information control system with multi-sensory channels of information interaction based on the method of direct modeling with an external reference. Social Development and Security, 13(4), 48-62. https://doi.org/10.33445/sds.2023.13.4.5.
Semenenko O.M., Kotov D.O., Klymenko V.V. Baranov S.M. (2022). Shlyakhy pidvyshchennya stiykosti informatsiyno-keruyuchoyi systemy nazemnoho robotyzovanoho kompleksu z riznosensornymy kanalamy informatsiynoyi vzayemodiyi v umovakh vplyvu destabilizuyuchykh faktoriv [Ways to increase the stability of the information and control system of a ground robotic complex with multi-sensor information interaction channels under the influence of destabilizing factors]. Collection of scientific works of the Central Scientific Research Institute of the Armed Forces of Ukraine. – 2022. – №4 (103). 163-176.
Skachkov V.V. Razvitiye teorii i praktiki povysheniya kachestva adaptatsii informatsionnykh radiotekhnicheskikh sistem k vneshnim pomekham v usloviyakh vnutrisistemnykh vozmushcheniy: dis... d-ra tekhn. nauk: 05.12.17 Odessa. 2007. 442 P.
Skachkov V.V., Klymenko V.V. Investigation of the invariance of regularizing algorithms to random variations of the initial data of inverse problems solved in Hilbert space. 3rd Conference of Young Scientists: Collection of Proceedings. Kharkiv: KhNURE. 2003. P. 36.
Sawyer U.U. Prelude to mathematics: Trans. with English Moscow: Enlightenment, 1972.191 p.
Soroko L.M. Basics of holography and coherent optics. Moscow: Science, 1971.616 p.
Tikhonov A.N., Goncharskyi A.V., Stepanov V.V., Yagola A.G. Regularizing algorithms and a priori information. Moscow: Science, 1983. 200 p.
Bakushinsky A. B. On the construction of a regularizing algorithm for random disturbances. DAN of the USSR. 1969. Т.189, № 2. P. 231 – 233.
Abstract views: 105 PDF Downloads: 129
Copyright (c) 2025 Denys Kotov, Victor Klymenko, Oleksandr Bondarenko, Ilona Burdeina
This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors agree with the following conditions:
1. Authors retain copyright and grant the journal right of first publication (Download agreement) with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
2. Authors have the right to complete individual additional agreements for the non-exclusive spreading of the journal’s published version of the work (for example, to post work in the electronic repository of the institution or to publish it as part of a monograph), with the reference to the first publication of the work in this journal.
3. Journal’s politics allows and encourages the placement on the Internet (for example, in the repositories of institutions, personal websites, SSRN, ResearchGate, MPRA, SSOAR, etc.) manuscript of the work by the authors, before and during the process of viewing it by this journal, because it can lead to a productive research discussion and positively affect the efficiency and dynamics of citing the published work (see The Effect of Open Access).
