Адаптивное формирование опорного изображения для бортовой корреляционно-экстремальной системы сопровождения движущихся объектов

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.