Publication:
Approximate Kernel Orthogonalization for Antenna Array Processing

Thumbnail Image
Identifiers
URI: http://hdl.handle.net/10016/11650
ISSN: 0018-926X
DOI: 10.1109/TAP.2010.2078458
Files
approximate_IEEEAaP_2010.pdf (439.04 KB)
Publication date
2010-12
Defense date
Authors
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
We present a method for kernel antenna array processing using Gaussian kernels as basis functions. The method first identifies the data clusters by using a modified sparse greedy matrix approximation. Then, the algorithm performs model reduction in order to try to reduce the final size of the beamformer. The method is tested with simulations that include two arrays made of two and seven printed half wavelength thick dipoles, in scenarios with 4 and 5 users coming from different angles of arrival. The antenna parameters are simulated for all DOAs, and include the dipole radiation pattern and the mutual coupling effects of the array. The method is compared with other state-of-the-art nonlinear processing methods, to show that the presented algorithm has near optimal capabilities together with a low computational burden.
Description
Keywords
Kernel, Array processing
Bibliographic citation
IEEE Transactions on Antennas and Propagation (2010), 58 (12), 3942-3950
Collections
DTSC - G2PI - Artículos de Revistas