Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226603
