Wavelet domain bearing estimation in unknown correlated noise

Author

Tewfik, Ahmed H.

Author_Institution

Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA

Volume

iv

fYear

1994

fDate

19-22 Apr 1994

Abstract

It is shown that the M-band wavelet domain correlation matrix of a noise process consists of linear structures as long as the spatial correlation function of the noise process decays asymptotically to zero as the distance between samples of the noise tends to infinity and the analyzing M-band wavelet has a large (⩾5) number of vanishing moments. On the other hand, the M-band wavelet domain correlation matrix corresponding to plane waves consists of “plateau” like structures. Next, a procedure that discriminates between the signal information carried by plane waves and the noise information based on the structure of the M-band wavelet domain correlation matrix of the array outputs is proposed

Keywords

correlation methods; direction-of-arrival estimation; matrix algebra; noise; wavelet transforms; array outputs; bearing estimation; correlation matrix; linear structures; noise information; noise process; plane waves; samples; signal information; spatial correlation function; unknown correlated noise; wavelet domain; Background noise; Continuous wavelet transforms; Covariance matrix; Direction of arrival estimation; Filter bank; H infinity control; Sensor arrays; Signal resolution; Wavelet analysis; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.389859

Filename

389859