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

Jeffrey A. Foutz; Andreas Spanias

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

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2
State	Published - 2002
Event	2002 IEEE International Symposium on Circuits and Systems - Phoenix, AZ, United States Duration: May 26 2002 → May 29 2002

Other

Other	2002 IEEE International Symposium on Circuits and Systems
Country/Territory	United States
City	Phoenix, AZ
Period	5/26/02 → 5/29/02

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Cite this

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title = "Adaptive eigen-projection algorithms for 1-D and 2-D antenna arrays",

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.",

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year = "2002",

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booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems",

note = "2002 IEEE International Symposium on Circuits and Systems ; Conference date: 26-05-2002 Through 29-05-2002",

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AU - Foutz, Jeffrey A.

AU - Spanias, Andreas

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:0036286955

VL - 2

BT - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - 2002 IEEE International Symposium on Circuits and Systems

Y2 - 26 May 2002 through 29 May 2002

ER -

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

Abstract

Other

ASJC Scopus subject areas

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