中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive H2/H∞ Filter for Integrated Navigation System

文献类型:会议论文

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)
出版日期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
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.

入库方式: OAI收割

来源:沈阳自动化研究所

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