A new information-theoretic criterion for detection of the number of signals in spatially correlated noise with unknown covariance matrix

Author

Zhang, Q.T. ; Wong, K.M.

Author_Institution

Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada

Volume

5

fYear

1992

fDate

23-26 Mar 1992

Firstpage

381

Abstract

Two new information theoretic criteria for detecting the number of signals in spatially correlated noise with unknown covariance matrix are presented. The new criteria take a very simple form involving the canonical correlation coefficients of sensor data, and are applicable to the cases either two sensor arrays or a single array are available. In both cases, the new schemes are significantly superior to the conventional information criteria

Keywords

array signal processing; correlation methods; information theory; matrix algebra; noise; signal detection; canonical correlation coefficients; covariance matrix; information theory; sensor arrays; sensor data; signal detection; spatially correlated noise; Acoustic sensors; Covariance matrix; Eigenvalues and eigenfunctions; Geometry; Noise measurement; Sensor arrays; Sensor phenomena and characterization; Signal processing; Transmission line matrix methods; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226603

Filename

226603