Robust forward backward based beamformer for a general-rank signal model with real-valued implementation

Zhang, L. and Liu, W. (2012) Robust forward backward based beamformer for a general-rank signal model with real-valued implementation. Signal Processing, 92(1), pp. 163-169. (doi: 10.1016/j.sigpro.2011.07.001)

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Abstract

A robust forward backward (FB) beamformer for an incoherently scattered general-rank signal model with real-valued implementation is proposed based on the uniform linear array (ULA) structure by introducing a preprocessing transformation matrix. With the preprocessing, the computational complexity is reduced significantly due to a real-valued close-form solution for the optimum weight vector; furthermore, the proposed algorithm can achieve a higher output SINR (signal-to-interference-plus-noise ratio) and has lower sensitivity to the diagonal-loading parameters especially for low input SNR (signal-to-noise ratio) scenarios.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zhang, Professor Lei
Authors: Zhang, L., and Liu, W.
College/School:College of Science and Engineering > School of Engineering
Journal Name:Signal Processing
Publisher:Elsevier
ISSN:0165-1684
ISSN (Online):1872-7557
Published Online:12 July 2011

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