Title :
Radar/ESM tracking of constant velocity target: comparison of batch (MLE) and EKF performance
Author :
Leibowicz, I. ; Nicolas, P. ; Ratton, L.
Author_Institution :
Thomson csf Detexis/IRISA, Elancourt, France
Abstract :
In this paper we compare performance of batch (Maximum Likelihood Estimate MLE) and iterative (Extended Kalman Filter) techniques in the case of joint Radar/ESM tracking. Two issues are addressed. Tracking accuracy of both methods are evaluated by simulations and compared to the Cramer-Rao Lower Bound (CRLB). The radar scheduling is optimized in order to increase tracking accuracy.
Keywords :
Kalman filters; maximum likelihood estimation; radar signal processing; sensor fusion; target tracking; Cramer Rao lower bound; EKF; Kalman filter; MLE; batch method; constant velocity target; data fusion; multisensor tracking; radar scheduling; sensor scheduling; Maximum likelihood estimation; Measurement errors; Nonlinear equations; Radar measurements; Radar tracking; Scheduling; Sensor fusion; Target tracking; Vectors; White noise;
Conference_Titel :
Information Fusion, 2000. FUSION 2000. Proceedings of the Third International Conference on
Conference_Location :
Paris, France
Print_ISBN :
2-7257-0000-0
DOI :
10.1109/IFIC.2000.862680
