A Seventh‐Degree Cubature Kalman Filter. Issue 1 (26th May 2017)

• Record Type: Journal Article
• Authors: Meng, Dong; Miao, Lingjuan; Shao, Haijun; Shen, Jun
• Is Part Of: Asian journal of control. Volume 20:Issue 1(2018)
• Page Start: 250
• Page End: 262
• Publication Date: 2017-05-26
• Subjects: UKF -- cubature Kalman filter -- high‐degree CKF -- seventh‐degree filter; Automatic control -- Periodicals; Control theory -- Periodicals; 629.805
• DOI: 10.1002/asjc.1537
• Languages: English
• ISSNs: 1561-8625

Abstract

Abstract: The fifth‐degree cubature Kalman filter (CKF) has been proved to be a kind of algorithm that has higher precision than the third‐degree CKF and unscented Kalman filter (UKF). In order to further improve the performance of CKF, the seventh‐degree CKF is proposed in this paper by expanding the spherical‐radial rule, and a new kind of deterministic sampling method is derived based on the seventh‐degree cubature rule. Through the comparison in target tracking simulation, the seventh‐degree CKF methods are shown to be able to enhance filtering precision compared to the fifth‐degree CKF, the third‐degree CKF and the UKF filter.