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)
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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 |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Zhang, Professor 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 |
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