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题名: Adaptive H2/H∞ Filter for Integrated Navigation System
作者: Liu XG(刘晓光); Hu JT(胡静涛); Li TC(李逃昌); Bai XP(白晓平); Gao L(高雷)
作者部门: 信息服务与智能控制技术研究室
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
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
出版日期: 2014
页码: 2155-2159
收录类别: EI
ISBN号: 978-1-4799-5825-2
关键词: H2/H∞filter ; Integrated navigation ; Data fusion ; Adaptive
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.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15417
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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