A minimum variance beamformer with linear and quadratic constraints based on uniform linear antenna arrays

Zhang, L, Liu, W and Langley, RJ (2010) A minimum variance beamformer with linear and quadratic constraints based on uniform linear antenna arrays In: Loughborough Antennas & Propagation Conference, 2009. LAPC 2009., 2009-11-16 - 2009-11-17, Loughborough, UK.

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Abstract

A novel adaptive beamforming algorithm is proposed based on a uniformly spaced linear antenna array by constraining its weight vector to a specific conjugate symmetric form. Two sets of constraints (linear and quadratic) are imposed on the beamformer while minimizing its output variance. Compared to the traditional linearly constrained minimum variance (LCMV) beamforming algorithm, the proposed one can achieve a faster convergence speed and a higher steady state SINR (signal to interference plus noise ratio) and is less sensitive to the change of its stepsize in terms of the final output SINR. Simulation results verify the effectiveness of the proposed algorithm.

Item Type:	Conference or Workshop Item (Conference Paper)
Subjects :	Electronic Engineering
Authors :	Name Email ORCID Zhang, L lei.zhang@surrey.ac.uk Liu, W Langley, RJ
Date :	February 2010
DOI :	10.1109/LAPC.2009.5352375
Copyright Disclaimer :	© 2009 IEEE
Contributors :	Contribution Name Email ORCID publisher IEEE,
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 13:58
Last Modified :	18 May 2017 12:54
URI:	http://epubs.surrey.ac.uk/id/eprint/841018

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