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Low-complexity narrowband adaptive beamforming based on symmetrically distributed arrays

Zhang, L, Liu, W and Langley, RJ (2011) Low-complexity narrowband adaptive beamforming based on symmetrically distributed arrays In: Wireless Sensing, Localization, and Processing VI, 2011-04-28 - 2011-04-29, Orlando, United States.

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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 or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Surrey research (other units)
Authors :
Liu, W
Langley, RJ
Date : 24 May 2011
DOI : 10.1117/12.885269
Copyright Disclaimer : © (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).
Contributors :
Dianat, SA
Zoltowski, MD
publisherSociety of Photo-Optical Instrumentation Engineers (SPIE).,
Uncontrolled Keywords : Symmetrically distributed array, Conjugate symmetric, Real-valued, Beamforming, Transformation, Uniform linear array
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:58
Last Modified : 23 Jan 2020 19:00

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