JOURNAL ARTICLE

A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation

Yong Qi WangFeng YangYan LiangQuan Pan

Year: 2013 Journal:   Applied Mechanics and Materials Vol: 313-314 Pages: 1115-1119   Publisher: Trans Tech Publications

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.

Keywords:
Extended Kalman filter Kalman filter Invariant extended Kalman filter Tracking (education) Control theory (sociology) Nonlinear system Filter (signal processing) Fast Kalman filter Computer science Ensemble Kalman filter Moving horizon estimation Alpha beta filter State (computer science) Mathematics Algorithm Artificial intelligence Computer vision Physics

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