An eigenanalysis interference canceler

Author

Haimovich, Alexander M. ; Bar-Ness, Yeheskel

Author_Institution

JJM Syst. Inc., Warminster, PA, USA

Volume

39

Issue

1

fYear

1991

fDate

1/1/1991 12:00:00 AM

Firstpage

76

Lastpage

84

Abstract

Eigenanalysis methods are applied to interference cancellation problems. While with common array processing methods the cancellation is effected by global optimization procedures that include the interferences and the background noise, the proposed technique focuses on the interferences only, resulting in superior cancellation performance. Furthermore, the method achieves full effectiveness even for short observation times, when the number of samples used for processing is of the the order of the number of interferences. Adaptive implementation is obtained with a simple, fast converging algorithm

Keywords

adaptive filters; eigenvalues and eigenfunctions; filtering and prediction theory; interference suppression; signal processing; adaptive implementation; array processing; eigenanalysis methods; fast converging algorithm; interference cancellation; Array signal processing; Background noise; Direction of arrival estimation; Interference cancellation; Jamming; Noise cancellation; Optimization methods; Sensor arrays; Signal to noise ratio; Steady-state;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.80767

Filename

80767