Study on Algorithm of EKF in CA Model for Bearings-Only Target Tracking

被引:0
作者
Wang, Dan [1 ]
Cheng, Cheng [1 ]
Zhao, Kai [2 ]
机构
[1] Zhengzhou Inst Aeronaut Ind Management, Dept Elect & Commun Engn, Zhengzhou 450015, Henan, Peoples R China
[2] 713 Res Inst China Shipbldg Ind Comproat, Res Off 4, Zhengzhou, Peoples R China
来源
2012 7TH INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE) | 2012年
关键词
Extended Kalman Filter; Constant Acceleratio model; Target Tracking; Bearings-Only; Simulation;
D O I
暂无
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
To solve the problem of Kalman filter not applicable in nonlinear system for bearings-only target tracking, the Extended Kalman Filter (EKF) algorithm is presented. EKF algorithm make first-order linearization truncated to Taylor expansion of nonlinear function and ignore the rest higher-order items, which is to make the nonlinear problem into linear, thus the Kalman filter applicable in nonlinear system. In simulation, we simulate the EKF algorithm in Constant Acceleration (CA) model. The results indicate that the EKF algorithm convergence and has favorable target tracking performance applicable to target tracking system
引用
收藏
页码:244 / 246
页数:3
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