Title

Neural network-based adaptive beamforming for one- and two-dimensional antenna arrays

Authors

Authors

A. H. El Zooghby; C. G. Christodoulou;M. Georgiopoulos

Comments

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Abbreviated Journal Title

IEEE Trans. Antennas Propag.

Keywords

adaptive arrays; antenna arrays; beamforming; neural network; applications; tracking; DIRECTION; Engineering, Electrical & Electronic; Telecommunications

Abstract

In this letter, we present a neural network approach to the problem of finding the weights of one- (1-D) and two-dimensional (2-D) adaptive arrays. In modern cellular satellite mobile communications systems and in global positioning systems (GPS's), both desired and interfering signals change their directions continuously. Therefore, a fast tracking system is needed to constantly track the users and then adapt the radiation pattern of the antenna to direct multiple narrow beams to desired users and nulls interfering sources. In the approach suggested in this paper, the computation of the optimum weights is accomplished using three-layer radial basis function neural networks (RBFNN). The results obtained from this network are in excellent agreement with the Wiener solution.

Journal Title

Ieee Transactions on Antennas and Propagation

Volume

46

Issue/Number

12

Publication Date

1-1-1998

Document Type

Letter

Language

English

First Page

1891

Last Page

1893

WOS Identifier

WOS:000078482200020

ISSN

0018-926X

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