A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 313-314)
• Pages: 1115-1119
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.313-314.1115
• Online since: March 2013
• Authors: Yong Qi Wang, Feng Yang, Yan Liang, Quan Pan
• Keywords: CKF, EKF, Nonlinear Estimation, STF

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