A new beamforming algorithm based on signal subspace eigenvectors

Author

Biguesh, Mehrzad ; Valaee, S. ; Champagne, B. ; Bastani, M.H.

Author_Institution

Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran

fYear

2000

fDate

2000

Firstpage

444

Lastpage

447

Abstract

A new beamforming algorithm, based on the eigendecomposition of the sample correlation matrix, has been introduced. The beamformer uses a weighted linear combination of the signal eigenvectors. Three versions of the beamformer have been proposed. It is shown that the proposed beamformer is a generalization of the delay-and-sum and the minimum variance beamformers. A linearly constrained minimum variance beamformer has also been derived. It is shown that the proposed approach induces robust beamformers

Keywords

adaptive signal processing; array signal processing; correlation methods; covariance matrices; direction-of-arrival estimation; eigenvalues and eigenfunctions; interference suppression; DOA estimation; adaptive beamforming algorithm; delay-and-sum beamformer; eigendecomposition; linearly constrained beamformer; minimum variance beamformer; robust beamformers; sample correlation matrix; signal subspace eigenvectors; weighted linear combination; Adaptive arrays; Array signal processing; Calibration; Delay; Direction of arrival estimation; Geometry; Interference; Jamming; Noise cancellation; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on

Conference_Location

Pocono Manor, PA

Print_ISBN

0-7803-5988-7

Type

conf

DOI

10.1109/SSAP.2000.870163

Filename

870163