Adaptive H2/H∞ Filter for Integrated Navigation System

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	Adaptive H2/H∞ Filter for Integrated Navigation System
	Liu XG(刘晓光); Hu JT(胡静涛); Li TC(李逃昌); Bai XP(白晓平); Gao L(高雷)
	2014
会议名称	11th World Congress on Intelligent Control and Automation (WCICA 2014)
会议日期	June 29 - July 4, 2014
会议地点	Shenyang, China
关键词	H2/H∞filter Integrated navigation Data fusion Adaptive
页码	2155-2159
中文摘要	Conventional H∞filter is much more conservative, as the filter parameters are set in the initial while Kalman filter requires the statistical properties of noise accurately. For the above limitations, this paper proposed an adaptive H2/H∞ filter for multi-sensor integrated navigation systems. The method derives the gain weight coefficient using the theory of matrix inequalities and estimation variance matrix based on the least trace criterion. The method can improve the accuracy and robustness of integrated navigation systems by adjusting gain weight coefficient automatically. Finally, the adaptive H2/H∞ filter method is compared with Kalman filter and H∞ filter on the test platform, Results show that the adaptive H2/H∞ filter can provide better performance of integrated navigation systems by combining the advantages of the Kalman filter and H∞ filter.
收录类别	EI
产权排序	1
会议录	Proceeding of the 11th World Congress on Intelligent Control and Automation
会议录出版者	IEEE
会议录出版地	Piscataway, NJ, USA
语种	英语
ISBN号	978-1-4799-5825-2
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/15417]
专题	沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式 GB/T 7714	Liu XG,Hu JT,Li TC,et al. Adaptive H2/H∞ Filter for Integrated Navigation System[C]. 见:11th World Congress on Intelligent Control and Automation (WCICA 2014). Shenyang, China. June 29 - July 4, 2014.