Paper
24 May 2011 Low-complexity narrowband adaptive beamforming based on symmetrically distributed arrays
Lei Zhang, Wei Liu, Richard J. Langley
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei Zhang, Wei Liu, and Richard J. Langley "Low-complexity narrowband adaptive beamforming based on symmetrically distributed arrays", Proc. SPIE 8061, Wireless Sensing, Localization, and Processing VI, 80610F (24 May 2011); https://doi.org/10.1117/12.885269
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Phased arrays

Antennas

Computing systems

Optical simulations

Sensors

Signal to noise ratio

Signal generators

Back to Top