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Low complexity robust beamformer for general-rank signal model based on uniform linear array

Zhang, L and Liu, W (2011) Low complexity robust beamformer for general-rank signal model based on uniform linear array In: Sensor Signal Processing for Defence (SSPD 2011), 2011-09-27 - 2011-09-29, London, UK.

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Abstract

Based on the uniform linear array (ULA) structure and the resultant persymmetric structure of its covariance matrices, a low complexity robust beamformer for an incoherently general-rank signal model is proposed by introducing a preprocessing transformation matrix. The computational complexity is reduced significantly due to a real-valued close-form solution for the optimum weight vector. Moreover, the proposed algorithm can achieve a higher output signal-to-interference-plus-noise ratio (SINR).

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Authors :
NameEmailORCID
Zhang, Llei.zhang@surrey.ac.ukUNSPECIFIED
Liu, WUNSPECIFIEDUNSPECIFIED
Date : 27 September 2011
Identification Number : 10.1049/ic.2011.0165
Uncontrolled Keywords : Covariance matrices, Array signal processing, Computational complexity, Signal processing theory, Computational complexity, Signal processing and detection, Linear algebra (numerical analysis)
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/841013

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