Maneuvering target tracking with non-Gaussian noise

被引：0
|
作者：
Song, XQ
Sun, ZK
机构：
来源：
PROCEEDINGS OF THE IEEE 1997 AEROSPACE AND ELECTRONICS CONFERENCE - NAECON 1997, VOLS 1 AND 2 | 1997年
关键词：
tracking; dynamic programming; Kalman filter; Glint-noise;
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Tracking a maneuvering target in a nonlinear interference environment has been discussed in some literature, and this paper considers the problems of tracking in the non-Gaussian noise environment and then tracking with multiple passive sensors. The method of target state estimation in this paper is a dynamic programming approach. Unlike the traditional method, the estimating problem is reduced to a multiple hypothesis-testing problem, and then is solved by using the dynamic programming algorithm. The simulation results show the superior of new method to EKF.
引用
收藏
页码：890 / 895
页数：6
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