DocumentCode
1284748
Title
Estimating the number of signals using reference noise samples
Author
ZHU, Z. Q. ; Haykin, Simon ; Huang, Xumin
Author_Institution
Commun. Res. Lab., McMaster Univ., Hamilton, Ont.
Volume
27
Issue
3
fYear
1991
fDate
5/1/1991 12:00:00 AM
Firstpage
575
Lastpage
579
Abstract
Criteria for estimating the number of signals in the case of small-sample populations are considered. The criteria introduced by M. Wax and T. Kailath (1985) do not work well in this case. Two new criteria based on information theoretic and eigenmode composition-based criteria are proposed, assuming a known noise covariance. Simulation results show a significant improvement in the performance of estimating the number of signals in the small-sample case, by the use of the new criteria combined with an estimate of the noise covariance obtained from reference noise samples
Keywords
eigenvalues and eigenfunctions; estimation theory; information theory; random noise; signal detection; eigenmode composition-based criteria; information theory; noise covariance; reference noise samples; signal number estimation; small-sample populations; Additive noise; Additive white noise; Maximum likelihood estimation; Narrowband; Parameter estimation; Phased arrays; Probability density function; Radar; Signal to noise ratio; Uncertainty;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.81442
Filename
81442
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