Low-Complexity Narrowband Adaptive Beamforming Based on Symmetrically Distributed Arrays

Zhang, L. , Liu, W. and Langley, R. J. (2011) Low-Complexity Narrowband Adaptive Beamforming Based on Symmetrically Distributed Arrays. In: Wireless Sensing, Localization, and Processing VI, Orlando, FL, USA, 25 Apr 2011, 80610F. (doi: 10.1117/12.885269)

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.

• Item Type: Conference Proceedings
• Keywords: Symmetrically distributed array, conjugate symmetric, real-valued, beamforming, transformation, uniform linear array.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zhang, Professor Lei
• Authors: Zhang, L., Liu, W., and Langley, R. J.
• College/School: College of Science and Engineering > School of Engineering
• Journal Name: SPIE Digital Library Volume 8061: Proceedings of Wireless Sensing, Localization, and Processing VI
• ISSN: 0277-786X