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

页码：282 / +

页数：4

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