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