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Adaptive beamforming with real-valued coefficients based on uniform linear arrays

Zhang, L, Liu, W and Langley, RJ (2011) Adaptive beamforming with real-valued coefficients based on uniform linear arrays IEEE Transactions on Antennas and Propagation, 59 (3). pp. 1047-1053.

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A class of adaptive beamforming algorithms with real-valued coefficients is proposed based on the uniform linear array structure by introducing a preprocessing transformation matrix. It is derived from the beamformer with a minimum mean square error (MSE) or a maximum output signal-to-interference-plus-noise ratio (SINR), depending on the specific design criteria. The key parameter of the transformation matrix takes different values for different beamforming scenarios and three representative examples are studied: the linearly constrained minimum variance beamformer (and the generalized sidelobe canceller), the reference signal based beamformer, and the class of blind beamformers based on the constant modulus algorithm. Its advantage is twofold: 1) with real-valued coefficients, the computational complexity of the overall system is reduced significantly; 2) a faster convergence speed is achieved and given the same stepsize, the system arrives at a lower MSE (or a higher output SINR).

Item Type: Article
Subjects : Electronic Engineering
Divisions : Surrey research (other units)
Authors :
Liu, W
Langley, RJ
Date : March 2011
DOI : 10.1109/TAP.2010.2103037
Copyright Disclaimer : © 2010 IEEE
Uncontrolled Keywords : Adaptive beamformer, Blind beamformer, Real-valued coefficient, Reference signal, Uniform linear array
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:58
Last Modified : 25 Jan 2020 00:35

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