A comparison of the eigenvector weighting and Gram-Schmidt adaptive antenna techniques

Author

Jenkins, R.W. ; Moreland, K.W.

Author_Institution

Communications Res. Centre, Ottawa, Ont.

Volume

29

Issue

2

fYear

1993

fDate

4/1/1993 12:00:00 AM

Firstpage

568

Lastpage

575

Abstract

Eigenvector and Gram-Schmidt weighting separate desired signals from interference without a priori information. For two signals and similar element patterns, eigenvector performance varies between Gram-Schmidt power inversion and perfect signal separation, depending on signal direction and array geometry. For nearly equal input powers, Gram-Schmidt always fails but eigenvector weighting often succeeds

Keywords

antenna phased arrays; antenna theory; eigenvalues and eigenfunctions; interference (signal); interference suppression; signal detection; Gram-Schmidt adaptive antenna; array geometry; computer modelling; eigenvector weighting; interference; power inversion; signal detection; signal direction; signal separation; Adaptive arrays; Baseband; Constraint optimization; Covariance matrix; Distributed computing; Geometry; Interference; Interference cancellation; Interference constraints; Lagrangian functions; Military computing; Minimization methods; Noise reduction; Sensor fusion; Source separation; Systems engineering and theory; Target tracking;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.210095

Filename

210095