Target tracking in glint noise environment using nonlinear non-Gaussian Kalman filter

被引：14
|
作者：
Bilik, I. [1 ]
Tabrikian, J. [1 ]
机构：
[1] Ben Gurion Univ Negev, Dept Elect & Comp Engn, POB 653, IL-84105 Beer Sheva, Israel
来源：
2006 IEEE RADAR CONFERENCE, VOLS 1 AND 2 | 2006年
关键词：
D O I：
10.1109/RADAR.2006.1631813
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The problem of nonlinear non-Gaussian target tracking with glint measurement noise is addressed in this work. The heavy-tailed glint noise distribution is modeled by mixture of two Gaussians. A new nonlinear Gaussian mixture Kalman filter (NL-GMKF), is applied to this problem. The tracking performance of the NL-GMKF is evaluated and compared to the particle fllter (PF) and the extended Kalman filter (EKF) via simulations. It is shown that the NL-GMKF outperforms both the PF and the EKF.
引用
收藏
页码：282 / +
页数：4
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