DocumentCode :
1093120
Title :
Asymptotic performance analysis of information-theoretic criteria for determining the number of signals in spatially correlated noise
Author :
Zhang, Q.T.
Volume :
42
Issue :
6
fYear :
1994
fDate :
6/1/1994 12:00:00 AM
Firstpage :
1537
Lastpage :
1539
Abstract :
A new information-theoretic criterion for the determination of the number of signals in unknown correlated noise was derived in Zhang and Wong (1993) supported with computer simulations. In the present correspondence, the theoretic performance of the criterion is presented. The authors establish a simple expression, in a closed form, for the probability of correct estimation by the criterion. Then on this basis, they analyze its consistency properties, showing that the criterion is consistent if the penalty coefficient α=(1/2)logN and inconsistent if α=1
Keywords :
array signal processing; information theory; parameter estimation; asymptotic performance analysis; consistency properties; correct estimation; information-theoretic criteria; penalty coefficient; probability; spatially correlated noise; Array signal processing; Computer simulation; Covariance matrix; Gaussian noise; Performance analysis; Sensor arrays; Signal processing; Signal resolution; Vectors; Working environment noise;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.286969
Filename :
286969
Link To Document :
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