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
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;
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
DOI :
10.1109/ISPACS.2006.364789
