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Volume 19 Issue 3
May  1997
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Que Weiyan, Peng Yingning, Lu Dajin, Hou Xiuying . ANALYSIS OF DATA FUSION ALGORITHMS FOR DETECTION PROBLEM[J]. Journal of Electronics & Information Technology, 1997, 19(3): 393-402.
Citation: Que Weiyan, Peng Yingning, Lu Dajin, Hou Xiuying . ANALYSIS OF DATA FUSION ALGORITHMS FOR DETECTION PROBLEM[J]. Journal of Electronics & Information Technology, 1997, 19(3): 393-402.

ANALYSIS OF DATA FUSION ALGORITHMS FOR DETECTION PROBLEM

  • Received Date: 1996-06-16
  • Rev Recd Date: 1996-11-14
  • Publish Date: 1997-05-19
  • 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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