Effect of frequency on the effective correlation after processing by space diversity

Author

Paré, Serge ; Grenier, Dominic

Author_Institution

Dept. of Electr. Eng., Laval Univ., Que., Canada

fYear

1994

fDate

25-28 Sep 1994

Firstpage

643

Abstract

The second-order methods based on the concepts of source and noise subspaces used in signal processing for estimation of direction of arrival with the aid of an array of sensors are limited by the correlation existing between the radiating sources. The algorithms based on space diversity such as spatial smoothing and DEESE offer high decorrelation in some situations and weak decorrelation in others. It is shown that the effective correlation factor after processing by space diversity depends on the phase relationship between the sources, which varies according to frequency. This article presents a multifrequency analysis of the algorithms using space diversity after use of invariances in rotation and translation

Keywords

array signal processing; correlation methods; direction-of-arrival estimation; diversity reception; smoothing methods; DEESE; DOA estimation; array processing; decorrelation; direction of arrival estimation; effective correlation factor; frequency effect; multifrequency analysis; noise subspace; phase relationship; radiating sources; rotation invariance; sensor array; signal processing; space diversity; spatial smoothing; translation invariance; Array signal processing; Decorrelation; Direction of arrival estimation; Diversity methods; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1994. Conference Proceedings. 1994 Canadian Conference on

Conference_Location

Halifax, NS

Print_ISBN

0-7803-2416-1

Type

conf

DOI

10.1109/CCECE.1994.405834

Filename

405834