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)
Full text not currently available from Enlighten.
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 |
University Staff: Request a correction | Enlighten Editors: Update this record