Adaptive eigen-projection algorithms for 1-D and 2-D antenna arrays

Author

Foutz, Jefrey A. ; Spanias, Andreas S.

Author_Institution

Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA

Volume

2

fYear

2002

fDate

2002

Abstract

In this paper, we develop 1-dimensional (1-D) and 2-dimensional (2-D) adaptive algorithms that use gradient projections in select sub-spaces for use in antenna beamforming. The 1-D algorithm is essentially a significantly enhanced version of an eigen-projection algorithm that was previously developed for system identification. The 2-D algorithm is based on a stacked configuration of the enhanced 1-D algorithm. Both algorithms are applied to antenna beamforming of uniform linear and planar arrays. Simulation results show better convergence as well as improved beam properties

Keywords

adaptive antenna arrays; adaptive signal processing; antenna theory; array signal processing; convergence of numerical methods; eigenvalues and eigenfunctions; least mean squares methods; linear antenna arrays; planar antenna arrays; 1-D antenna arrays; 2-D algorithm; 2-D antenna arrays; adaptive eigen-projection algorithms; antenna beamforming; convergence; enhanced 1-D algorithm; gradient projections; stacked configuration; sub-spaces; system identification; uniform linear arrays; uniform planar arrays; Adaptive algorithm; Adaptive arrays; Antenna arrays; Array signal processing; Convergence; Eigenvalues and eigenfunctions; Linear antenna arrays; Planar arrays; Projection algorithms; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on

Conference_Location

Phoenix-Scottsdale, AZ

Print_ISBN

0-7803-7448-7

Type

conf

DOI

10.1109/ISCAS.2002.1010959

Filename

1010959