Adaptive beam pointing control of a phased array radar using an IMM estimator

The design and performance of an interacting multiple model (IMM) estimator for a given benchmark problem of highly maneuvering targets are presented in this paper. The design parameters of the IMM estimator as well as an adaptive sampling policy are described. It is shown that the IMM estimator with adaptive sampling policy has a better performance in terms of the average track loss, average dwells per run and noise reduction in non-maneuvering periods of time than the best Kalman filter.