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A class of constant modulus algorithms for uniform linear arrays with a conjugate symmetric constraint

Zhang, L., Liu, W. and Langley, R.J. (2010) A class of constant modulus algorithms for uniform linear arrays with a conjugate symmetric constraint. Signal Processing, 90 (9). pp. 2760-2765. ISSN 0165-1684

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Abstract

A class of constant modulus algorithms (CMAs) subject to a conjugate symmetric constraint is proposed for blind beamforming based on the uniform linear array structure. The constraint is derived from the beamformer with an optimum output signal-to-interference-plus-noise ratio (SINR). The effect of the additional constraint is equivalent to adding a second step to the original adaptive algorithms. The proposed approach is general and can be applied to both the traditional CMA and its all kinds of variants, such as the linearly constrained CMA (LCCMA) and the least squares CMA (LSCMA) as two examples. With this constraint, the modified CMAs will always generate a weight vector in the desired form for each update and the number of adaptive variables is effectively reduced by half, leading to a much improved overall performance. (C) 2010 Elsevier B.V. All rights reserved.

Item Type: Article
Copyright, Publisher and Additional Information: © 2010 Elsevier. This is an author produced version of a paper subsequently published in Signal Processing. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Constant modulus; Uniform linear arrays; Conjugate symmetric; Blind beamforming
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Miss Anthea Tucker
Date Deposited: 09 Jul 2010 10:28
Last Modified: 08 Feb 2013 17:00
Published Version: http://dx.doi.org/10.1016/j.sigpro.2010.04.003
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.sigpro.2010.04.003
URI: http://eprints.whiterose.ac.uk/id/eprint/11016

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