Title :
Information Fusion is Used to Multiple Direction-Finder
Author :
Cheng Jiasong ; Xu Jiren ; Lian Tongli ; Zhang Xingshen
Author_Institution :
Dept. of Inf., Hefei of Electr. Eng. Inst., Hefei, China
Abstract :
Position information often achieves by direction-finder multi-stations in practice. Direction-finder multi-station data processing is an important problem related to the problem that how to use the data correctly. In this paper we calculate the distance matrix, then analyze the relation matrix and determine the best fusion data in different ways. we know that the supported degree applying ellipse curves will enhance fusion result. Meanwhile extremes theory, maximum likelihood method, bayes principle and synthesis sustainability method are used in the paper, and the result approves that these methods are effective, but we should apply them in different condition.
Keywords :
Bayes methods; maximum likelihood estimation; sensor fusion; Bayes principle; data processing; direction-finder multistations; ellipse curves; extremes theory; fusion data; information fusion; maximum likelihood method; multiple direction-finder; position information; relation matrix; synthesis sustainability method; Data processing; Decision making; Equations; Navigation; Redundancy; Robotics and automation; Service robots; Space stations; Space technology; Uncertainty;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.469