Journal of Siberian Federal University. Engineering & Technologies / Synthesis of Optimal Algorithm of Recognition Numerical Model of Group Air Target from Class «Turbojet Aircrafts» Based on Kalman Filtering and Neural Network

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2022 15 (3)
Authors
Bogdanov, Aleksandr V.; Petrov, Sergei G.; Kuchin Aleksandr A.; Lobanov, Aleksandr A.; Shepranov, Vitalii V.
Contact information
Bogdanov, Alexandr V.: Military Academy of Aero-Space Defence named after the Marshal of Soviet Union G. K. Zhukov Tver, Russian Federation; Petrov, Sergei G.: Military Academy of Aero-Space Defence named after the Marshal of Soviet Union G. K. Zhukov Tver, Russian Federation; Shepranov, Vitalii V.: Military Academy of Aero-Space Defence named after the Marshal of Soviet Union G. K. Zhukov Tver, Russian Federation
Keywords
group airtarget; kalman filtering; neural network; constant probability; turbojet aircrafts; recognition
Abstract

In this paper discusses an optimal algorithm for recognition the numerical type of group air target based on kalman filtering and neural network, ensuring a constant probability recognizing the numerical type of group air target not less then a given by optimizing the solver rule, allowing to adapt process to different aircraft flight pattern of group air target

Pages
381–396
DOI
10.17516/1999-494X‑0397
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/145700

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