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Proceedings Paper

Low-complexity narrowband adaptive beamforming based on symmetrically distributed arrays
Author(s): Lei Zhang; Wei Liu; Richard J. Langley
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Paper Abstract

Based on the symmetrically distributed array (SDA) structure and the resultant generalised conjugate symmetric property of its optimum weight vector, a transformation matrix is introduced to preprocess the received array data, after which the original complex-valued optimum weight vector is reduced to a real-valued one, so that in the following weight adaptation we can simply remove imaginary part of the weight vector. As a result of this regularization, improved performance is achieved with much lower computational complexity. There is an undetermined phase factor in the transformation matrix and two different cases are studied with beamforming examples provided for each case, supported by simulation results.

Paper Details

Date Published: 24 May 2011
PDF: 10 pages
Proc. SPIE 8061, Wireless Sensing, Localization, and Processing VI, 80610F (24 May 2011); doi: 10.1117/12.885269
Show Author Affiliations
Lei Zhang, The Univ. of Sheffield (United Kingdom)
Wei Liu, The Univ. of Sheffield (United Kingdom)
Richard J. Langley, The Univ. of Sheffield (United Kingdom)

Published in SPIE Proceedings Vol. 8061:
Wireless Sensing, Localization, and Processing VI
Sohail A. Dianat; Michael David Zoltowski, Editor(s)

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