ADAPTIVE REFERENCE IMAGE FORMATION FOR ONBOARD CORRELATION-EXTREME SYSTEM FOR MOVING OBJECTS SUPPORT

A.S. Solonar¹, S.V. Tsuprik¹, P.A. Khmarskii²

¹ Educational Establishment «Military Academy of the Republic of Belarus»,
220057, Republic of Belarus, Minsk, Nezavisimosti ave., 220

² Institute of Applied Physics National Academy of Sciences of Belarus,

220072, Republic of Belarus, Minsk, Akademicheskaya ave, 16

The paper was received April 20, 2023

Abstract. To increase the efficiency of the correlation-extremal tracking system for moving objects, it is proposed to use Interactive Multiple Model (IMM), which includes Kalman filters of the 0th and 1st order and a Singer filter of the 0th order. The structure of the meter was obtained as a result of statistical synthesis according to the criterion of minimum a posteriori risk with a quadratic loss function. The statistical synthesis is based on the semi-Markov brightness model, which takes into account the random nature of the transition time from one state to another.

Key words: Kalman filter, IMM, correlation-extremal tracking system, semi-Markov brightness model, ground object image

Financing: This work was supported by a grant from the Belarusian Republican Foundation for Basic Research (project no. F23M-103).

Corresponding author: Tsuprik Sergei Viktorovich, Serhio.Observer@yandex.ru

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For citation:

Solonar A.S., Tsuprik S.V., Khmarskii P.A. Adaptive reference image formation for onboard correlation-extreme system for moving objects support. // Journal of Radio Electronics. – 2023. – № 9. https://doi.org/10.30898/1684-1719.2023.9.9 (In Russian)