A new self-tuning Kalman filter for tracking abrupt input change - 文章详情页

作者：

Li, Xuwen (Li, Xuwen.) | Wu, Qiang (Wu, Qiang.) | Wu, Shuicai (Wu, Shuicai.) (学者：吴水才)

收录：

EI Scopus

摘要：

This　paper　proposes　a　new　self-tuning　Kalman　filter　with　good　tracking　ability　for　unknown　noise　statistics　and　unknown　abrupt　input　change.　The　new　filter　can　easily　compute　unknown　abrupt　input　and　steady-state　gain　matrix　by　building　up　online　identification　of　ARMAX　innovation　model　in　real　time.　The　simulation　results　of　tracking　a　maneuvering　target　shows　the　effectiveness　of　the　new　method　in　this　paper.　©　2011　IEEE.

关键词：

Adaptive filtering Adaptive filters Kalman filters Tuning

作者机构：

[ 1 ] [Li, Xuwen]College of Life Science and Bio-engineering, Beijing University of Technology, Beijing, China
[ 2 ] [Wu, Qiang]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 3 ] [Wu, Shuicai]College of Life Science and Bio-engineering, Beijing University of Technology, Beijing, China

通讯作者信息：

电子邮件地址：

lixuwen@bjut.edu.cn

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