Title :
Improved adaptive filter for maneuvering target tracking
Author :
Shengda, Wang ; Guoxiang, Chen
Author_Institution :
Air Force Coll. of Eng., Xian, China
Abstract :
A different method from that of Shalom´s (1982) variable dimension filter (VDF) method in deciding the initial maneuver moment is presented in this paper. The proposed method is more adaptable to actual cases and presents better tracking property than that of VDF. In order to achieve better real-time computation, the approach of using a Kalman filter steady-gain for target tracking is also proposed. Monte Carlo simulation is applied to the presented approach and significant results have been achieved
Keywords :
Kalman filters; Monte Carlo methods; adaptive filters; filtering and prediction theory; military systems; radar applications; tracking; Kalman filter steady-gain; Monte Carlo simulation; adaptive filter; initial maneuver moment; maneuvering target tracking; real-time computation; Adaptive filters; Coordinate measuring machines; Military aircraft; Motion measurement; Noise measurement; Position measurement; Radar tracking; State estimation; Target tracking; Underwater tracking;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184390
