@inproceedings{1c3cbc3afde946f69df4d2f2e56e9b65,
title = "Low-complexity narrowband adaptive beamforming based on symmetrically distributed arrays",
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.",
keywords = "beamforming, conjugate symmetric, real-valued, Symmetrically distributed array, transformation, uniform linear array, uniform rectangular array",
author = "Lei Zhang and Wei Liu and Langley, {Richard J.}",
year = "2011",
month = may,
doi = "10.1117/12.885269",
language = "English",
isbn = "9780819486356",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Wireless Sensing, Localization, and Processing VI",
note = "Wireless Sensing, Localization, and Processing VI ; Conference date: 28-04-2011 Through 29-04-2011",
}