Title :
Adaptive beam pointing control of a phased array radar using an IMM estimator
Author :
Daeipour, E. ; Bar-Shalom, Y. ; Li, X.
Author_Institution :
Connecticut Univ., Storrs, CT, USA
fDate :
29 June-1 July 1994
Abstract :
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.
Keywords :
adaptive control; phased array radar; position control; radar tracking; state estimation; target tracking; adaptive beam pointing control; adaptive sampling policy; average dwells per run; average track loss; benchmark problem; design parameters; highly maneuvering targets; interacting multiple model estimator; noise reduction; phased array radar; Adaptive arrays; Adaptive control; Noise reduction; Performance loss; Phase estimation; Phased arrays; Programmable control; Radar tracking; Sampling methods; Target tracking;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.752445