Information Fusion is Used to Multiple Direction-Finder
Jiasong Cheng, Jiren Xu, Tongli Lian, Xingshen Zhang · 2009
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.