Title :
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
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;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Conference_Location :
Phoenix-Scottsdale, AZ
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010959
