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| ANALYSIS OF DATA FUSION ALGORITHMS FOR DETECTION PROBLEM |
| Que Weiyan①; Peng Yingning①; Lu Dajin①; Hou Xiuying② |
| ①Department of Electronic Engineering Tsinghua University Beijing 100084;②Institute of Electronic Sciences Ministry of Electronic Industry Beijing 100846 |
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Abstract In recent years, the radar network systems for modern military application, such as anti-stealth tactical and strategic surveillance systems, have been investigated with great interest, and multisensor data fusion has been a hot issue. Consequently, the critical need is to understand it in concept and application and provide a common frame of reference for detection data fusion algorithms. To fill that need, in this paper, the relation between the multisensor detection problem and classical detection problem is pointed out. Discrimination information is used to analyze and compare, in principle, the various representative data fusion algorithms for detection that appeared in some open literatures, and the other possible algorithms are proposed as well. The effects of data fusion on surveillance systems are discussed with some numerical results, and it is shown that data fusion technique is of great importance to anti-stealth systems.
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Received: 16 June 1996
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1997, Vol. 19 
