Lowcomplexity Robust Beamformer for General-Rank Signal Model Based on Uniform Linear Array

Zhang, L. and Liu, W. (2011) Lowcomplexity Robust Beamformer for General-Rank Signal Model Based on Uniform Linear Array. In: Sensor Signal Processing for Defence (SSPD 2011), London, UK, 27-29 Sep 2011, ISBN 9781849196611 (doi: 10.1049/ic.2011.0165)

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 Proceedings
• Keywords: Array signal processing, computational complexity, covariance matrices, SINR, ULA, computational complexity, covariance matrices, general-rank signal model, low complexity robust beamformer, persymmetric structure, preprocessing transformation matrix, real-valued close-form solution, signal-to-interference-plus-noise ratio, uniform linear array, Uniform linear array, forward backward, generalrank, real-valued, robust.
• 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
• ISBN: 9781849196611