DocumentCode :
1983534
Title :
Study of pattern synthesis techniques using neural networks
Author :
Shavit, R. ; Taig, I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear :
2004
fDate :
6-7 Sept. 2004
Firstpage :
266
Lastpage :
268
Abstract :
A comparison study among three neural network algorithms for the synthesis of array patterns is presented. The neural networks are used to estimate the array element excitations for an arbitrary pattern. The architecture of the neural networks is discussed and simulation results are presented. Two new neural networks, based on radial basis functions (RBF) and wavelets neural networks (WNN), are introduced. The proposed networks make the synthesis procedure more efficient compared to other available techniques.
Keywords :
antenna arrays; antenna radiation patterns; antenna theory; array signal processing; computational electromagnetics; neural nets; radial basis function networks; wavelet transforms; antenna radiation pattern; arbitrary pattern; array element excitations; array pattern synthesis techniques; neural networks; radial basis functions; wavelets neural networks; Antenna arrays; Antenna radiation patterns; Artificial neural networks; Computer architecture; Computer networks; Network synthesis; Neural networks; Neurons; Phased arrays; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineers in Israel, 2004. Proceedings. 2004 23rd IEEE Convention of
Print_ISBN :
0-7803-8427-X
Type :
conf
DOI :
10.1109/EEEI.2004.1361142
Filename :
1361142
Link To Document :
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