@inproceedings{a6fa508e456b442ba5b8155804e8e2ef,
title = "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.",
keywords = "CKF, EKF, Nonlinear estimation, STF",
author = "Wang, {Yong Qi} and Feng Yang and Yan Liang and Quan Pan",
year = "2013",
doi = "10.4028/www.scientific.net/AMM.313-314.1115",
language = "英语",
isbn = "9783037856840",
series = "Applied Mechanics and Materials",
pages = "1115--1119",
booktitle = "Machinery Electronics and Control Engineering II",
note = "2012 2nd International Conference on Machinery Electronics and Control Engineering, ICMECE 2012 ; Conference date: 29-12-2012 Through 30-12-2012",
}