A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation

摘要：

　　In this paper,a novel method based on cubature Kalman filter (CKF) and strong tracking filter (STF) has been proposed for nonlinear state estimation problem.The proposed method is named as strong tracking cubature Kalman filter (STCKF).In the STCKF,a scaling factor derived from STF is added and it can be tuned online to adjust the filtering gain accordingly.Simulation results indicate STCKF outperforms over EKF and CKF in state estimation accuracy.

关键词： STF EKF CKF Nonlinear estimation

作者: Yongqi Wang Feng Yang Yan Liang Quan Pan

作者单位: School of Automation,Northwestern Polytechnical University,Xian,P.R.China

会议类型: 国际会议

会议名称: 2012 2nd International conference on Machinery Electronics and Control Engineering (2012年第二届国际机械电子与控制工程会议(ICMECE 2012))

会议地点: 济南

会议语种:英文

页码: 1115-1119

在线出版日期: 2012-12-29（万方平台首次上网日期，不代表论文的发表时间）