Journal of Siberian Federal University. Engineering & Technologies / Accuracy and Probabilistic Characteristics of the Helicopter Flight Mode Recognition Algorithm in an Airborne Radar System

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Issue
Journal of Siberian Federal University. Engineering & Technologies. 2018 11 (3)
Authors
Bogdanov, Alexander V.; Gorbunov, Sergei A.; Kuchin, Alexander A.; Shportko, Sergei A.
Contact information
Bogdanov, Aleksander V.:Military Academy of Aero-Space Defence named after the Marshal of Soviet Union G.K. Zhukov 50 Zhigareva Str., Tver, 170022, ; Gorbunov, Sergei A.: Military Academy of Aero-Space Defence named after the Marshal of Soviet Union G.K. Zhukov 50 Zhigareva Str., Tver, 170022, Russia; Kuchin, Aleksander A.:Military Academy of Aero-Space Defence named after the Marshal of Soviet Union G.K. Zhukov 50 Zhigareva Str., Tver, 170022, Russia; Shportko, Sergei A.: Military Academy of Aero-Space Defence named after the Marshal of Soviet Union G.K. Zhukov 50 Zhigareva Str., Tver, 170022, Russia
Keywords
recognition; Kalman filter; helicopter flight mode; airborne radar system
Abstract

In the article, based on the theory of multidimensional linear Kalman filtering, developed the algorithm for recognizing the flight mode of a helicopter in the airborne radar system for the subsequent choice of the method of homing a carrier for it. Accuracy and probabilistic characteristics of the algorithm are obtained

Pages
358-370
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/71328

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