A class of constrained adaptive beamforming algorithms based on uniform linear arrays

Zhang, L., Liu, W. and Langley, R. J. (2010) A class of constrained adaptive beamforming algorithms based on uniform linear arrays. IEEE Transactions on Signal Processing, 58(7), pp. 3916-3922. (doi:10.1109/TSP.2010.2046078)

Full text not currently available from Enlighten.

Abstract

A new class of adaptive beamforming algorithms is proposed based on a uniformly spaced linear array by constraining its weight vector to a specific conjugate symmetric form. The method is applied to the well-known reference signal based (RSB) beamformer and the linearly constrained minimum variance (LCMV) beamformer as two implementation examples. The effect of the additional constraint is equivalent to adding a second step in the derived adaptive algorithm. However, a difference arises for the RSB case since no direction-of-arrival (DOA) information of the desired signal is available, which leads to a two-stage structure for incorporating the imposed constraint. Compared to the traditional algorithms, the proposed ones can achieve a faster convergence speed and a higher steady state output signal-to-interference-plus-noise ratio, given the same stepsize.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zhang, Dr Lei
Authors: Zhang, L., Liu, W., and Langley, R. J.
College/School:College of Science and Engineering > School of Engineering
Journal Name:IEEE Transactions on Signal Processing
Publisher:IEEE
ISSN:1053-587X
ISSN (Online):1941-0476
Published Online:18 March 2010

University Staff: Request a correction | Enlighten Editors: Update this record