A Nonlinear Kalman Smoothing Method for Ballistic Target Tracking

被引：0
|
作者：
Wu, Panlong [1 ]
Kong, Jianshou [1 ]
Bo, Yuming [1 ]
Li, Bing [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
来源：
INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 2, PROCEEDINGS | 2009年
关键词：
FILTERS;
D O I：
10.1109/CSO.2009.70
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In order to track the Ballistic target more accurate, a suitable model of Ballistic target motion is developed and a new nonlinear smoothing method is presented in this paper. The new nonlinear smoothing method named UKS is based on the combination of Unscented Kalman filter(UK-F)and Rauch-Tung-Striebel(RTS) smoothing method. The UKS method improves the tracking accuracy, and enhances the filtering convergence. The simulation of the application of UKS and UKF methods to track Ballistic target is done separately. The simulation results show that the new method outperforms UK-F in terms of tracking accuracy and filter credibility.
引用
收藏
页码：160 / 162
页数：3
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