A Nonlinear Kalman Smoothing Method for Ballistic Target Tracking

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(UKF)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 UKF in terms of tracking accuracy and filter credibility.

作者: Panlong Wu Jianshou Kong Yuming Bo Bing Li

作者单位: School of Automation Nanjing University of Science and Technology Jiangsu, 210094 P.R.China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 1210-1212

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）