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

Zhang, L, Liu, W and Langley, RJ (2010) A class of constrained adaptive beamforming algorithms based on uniform linear arrays IEEE Transactions on Signal Processing, 58 (7). pp. 3916-3922.

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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: Article
Subjects : Electronic Engineering
Divisions : Surrey research (other units)
Authors :
Liu, W
Langley, RJ
Date : July 2010
DOI : 10.1109/TSP.2010.2046078
Copyright Disclaimer : © 2010 IEEE
Uncontrolled Keywords : Adaptive beamformer, Conjugate symmetric, Lagrange multiplier, Uniform linear array (ULA)
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:58
Last Modified : 25 Jan 2020 00:35

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