DocumentCode
2648601
Title
Research on the Algorithm of Target Recognition Based on Two-leveled RBF Neural Network and D-S Evidence Theory
Author
Xiuqin, Pan ; Yongcun, Cao ; Yong, Lu ; XiaLi, Li ; Yue, Zhao
Author_Institution
Dept. of Math. & Comput. Sci., Central Univ. for Nat., Beijing
fYear
2006
fDate
12-15 Dec. 2006
Firstpage
911
Lastpage
914
Abstract
In this paper, we combine two leveled RBF neural network technique with D-S evidence fusion theory, and present an algorithm of target recognition based on double mode intelligent fusion of infrared and radar. An effective recognizing strategy is developed. Simulation on the algorithm is carried out and the results illustrate that the algorithm is efficient and effective.
Keywords
radial basis function networks; sensor fusion; D-S evidence theory; double mode intelligent fusion; target recognition; two-leveled RBF neural network; Communication systems; Infrared detectors; Infrared sensors; Intelligent networks; Intelligent sensors; Mathematics; Neural networks; Radar; Signal processing algorithms; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on
Conference_Location
Tottori
Print_ISBN
0-7803-9732-0
Electronic_ISBN
0-7803-9733-9
Type
conf
DOI
10.1109/ISPACS.2006.364789
Filename
4212407
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