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

    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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