吉林大学学报(工学版) ›› 2001, Vol. ›› Issue (4): 69-72.

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Fusion Algorithm of Target Identification

ZHOU Jie-min, HAN Jing, XIAO Ji-li   

  1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2001-03-23 Online:2001-10-25

Abstract: The paper proposes an improved algorithm of multisensor data fusion for target recognition and classification. In the data fusion process, fuzzy mathematics and Shafer-Dempster evidential theory is selected and used for the data fusion. By comparing the simulation experiment results based on separate original data and fused data respectively, the research has reached the conclusion that the latter is more accurate than the former.

Key words: D-S evidential theory, fuzzy mathematics, target recognition and classification, data fusion

CLC Number: 

  • V247.15
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