Title :
On H∞ α-β target tracking
Author :
Kalata, P.R. ; Daka, S. ; Rawicz, P.L. ; Chmielewski, T.A.
Author_Institution :
Drexel Univ., Philadelphia, PA, USA
Abstract :
This paper considers the discrete time Kalman and H∞ approach to the two-state α-β target tracking problem. A closed form steady-state solution for the α-β parameter selection for H∞ tracker, which is similar to the tracking index process for the MSE (Kalman) criterion, is presented. The H∞ and Kalman processes model the radar/target system with the objective to keep the target within the radar beamwidth. The two trackers are compared considering two cases that differ in the input maneuver disturbances, random maneuver and constant acceleration. An example illustrates the performance of the α-β tracker with respect to keeping the target within the beamwidth in terms of probability of escape.
Keywords :
Kalman filters; discrete time filters; mean square error methods; radar signal processing; radar tracking; target tracking; tracking filters; H∞ α-β target tracking; MSE criterion; closed form steady-state solution; constant acceleration; discrete time Kalman process; input maneuver disturbances; mean square error criterion; parameter selection; radar beamwidth; random maneuver; tracking index process; two-state α-β target tracking problem; Acceleration; Motion measurement; Noise measurement; Position measurement; Predictive models; Radar tracking; State estimation; Target tracking; Time measurement; Velocity measurement;
Conference_Titel :
System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on
Print_ISBN :
0-7803-8281-1
DOI :
10.1109/SSST.2004.1295613