A Minimum Variance Beamformer with Linear and Quadratic Constraints Based on Uniform Linear Antenna Arrays

Zhang, L., Liu, W. and Langley, R. J. (2009) A Minimum Variance Beamformer with Linear and Quadratic Constraints Based on Uniform Linear Antenna Arrays. In: 2009 Loughborough Antennas Propagation Conference, Loughborough, UK, 16-17 Nov 2009, pp. 585-588. ISBN 9781424427208 (doi:10.1109/LAPC.2009.5352375)

Zhang, L., Liu, W. and Langley, R. J. (2009) A Minimum Variance Beamformer with Linear and Quadratic Constraints Based on Uniform Linear Antenna Arrays. In: 2009 Loughborough Antennas Propagation Conference, Loughborough, UK, 16-17 Nov 2009, pp. 585-588. ISBN 9781424427208 (doi:10.1109/LAPC.2009.5352375)

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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 Proceedings
Keywords:Array signal processing, linear antenna arrays, adaptive beamforming algorithm, linearly constrained minimum variance beamforming algorithm, minimum variance beamformer, signal to interference plus noise ratio, steady state sinr, uniformly spaced linear antenna array, adaptive arrays, antennas and propagation, interference constraints, lagrangian functions, linear antenna arrays, narrowband, sensor arrays, signal to noise ratio, vectors, LCMV beamformer, lagrange multiplier, adaptive beamforming, conjugate symmetric, uniform linear array.
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
ISBN:9781424427208

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