Gaussian-Sum Cubature Kalman Filter with Improved Robustness for Bearings-only Tracking

被引：19
|
作者：
Leong, Pei H. [1 ]
Arulampalam, Sanjeev [2 ]
Lamahewa, Tharaka A. [2 ]
Abhayapala, Thushara D. [1 ]
机构：
[1] Australian Natl Univ, Res Sch Engn, Appl Signal Proc Grp, Canberra, ACT 0200, Australia
[2] DSTO, Edinburgh, SA 5111, Australia
来源：
IEEE SIGNAL PROCESSING LETTERS | 2014年 / 21卷 / 05期
关键词：
Bearings-only tracking; cubature Kalman filter; Gaussian-sum;
D O I：
10.1109/LSP.2014.2307075
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：
This letter presents a Gaussian-sum cubature Kalman filter with improved robustness compared to the original algorithm proposed by the authors in [1], which demonstrated excellent accuracy and efficiency for the bearings-only tracking problem. Modifications are made in the splitting and merging procedure of the Gaussian components in the algorithm. Simulation results confirm the improved robustness of the modified algorithm against the choice of threshold level for the splitting procedure.
引用
收藏
页码：513 / 517
页数：5
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