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	Design and experiment for generalized federated filters
	Wang Song ; Gu Qitai
	2010-05-10 ; 2010-05-10
关键词	Theoretical or Mathematical Experimental/ design Global Positioning System information filtering Kalman filters/ design theory generalized federated filters filter dimension limitation information filtering algorithm information sharing principle global filtering master filter dimension local filter dimension double MIMS-GPS integrated navigation system centralized Kalman filters/ B6330 Radionavigation and direction finding B6140B Filtering methods in signal processing
中文摘要	In order to overcome the limitation on filter dimensions in federated filter theory, this paper developed a design theory for federated filters based on the information filtering algorithm and the information sharing principle. Analytical compensation was used to optimize the global filtering when the master filter dimension does not equal the local filter dimension. The algorithm was used to design a filter for a double MIMS/GPS integrated navigation system. Tests demonstrated that the position precision of the generalized federated filter designed using analytic compensation is close to that of centralized Kalman filters, so the global filtering design is optimized.
语种	中文 ; 中文
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/24664]
专题	清华大学
推荐引用方式 GB/T 7714	Wang Song,Gu Qitai. Design and experiment for generalized federated filters[J],2010, 2010.
APA	Wang Song,&Gu Qitai.(2010).Design and experiment for generalized federated filters..
MLA	Wang Song,et al."Design and experiment for generalized federated filters".(2010).

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