Title

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

Keywords

Adaptive arrays; Antenna arrays; Beamforming; Neural network applications; Tracking

Abstract

In this letter, we present a neural network approach to the problem of finding the weights of one- (1-D) and two-dimensional (2-1)1 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. © 1999 IEEE.

Publication Date

12-1-1998

Publication Title

IEEE Transactions on Antennas and Propagation

Volume

46

Issue

12

Number of Pages

1891-1893

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/8.743843

Socpus ID

0001617975 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0001617975

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