DocumentCode :
3415598
Title :
Detection of the number of signals in the presence of noise with an unknown, banded structured covariance matrix
Author :
Chen, W.G. ; Reilly, J.P. ; Wong, K.M.
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
fYear :
1991
fDate :
9-10 May 1991
Firstpage :
128
Abstract :
Based on the fact that a noise is usually correlated over a limited spatial range, a detection scheme employing two spatially separated arrays is proposed. To extend this concept to the detection problem is quite natural. The problem is how to find a theoretically solid, functionally robust algorithm to process the array outputs. A canonical correlation is introduced to solve the problem, and a satisfactory method is developed
Keywords :
correlation methods; matrix algebra; noise; signal detection; signal processing; algorithm; array outputs; array signal processing; banded structured covariance matrix; canonical correlation; signal detection; spatially separated arrays; Array signal processing; Colored noise; Covariance matrix; Sensor arrays; Signal analysis; Signal processing; Testing; Vectors; White noise; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing, 1991., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-87942-638-1
Type :
conf
DOI :
10.1109/PACRIM.1991.160698
Filename :
160698
Link To Document :
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