DocumentCode
812303
Title
Using the sphericity test for source detection with narrow-band passive arrays
Author
Williams, Douglas B. ; Johnson, Don H.
Author_Institution
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Volume
38
Issue
11
fYear
1990
fDate
11/1/1990 12:00:00 AM
Firstpage
2008
Lastpage
2014
Abstract
A new sphericity test statistic is proposed for the complex case with a distribution that approaches the asymptotic chi-squared distribution much faster than previously proposed statistics, especially for situations in which the sources are very difficult to detect, such as closely spaced or weak sources. Consequently, the probability of a correct estimate is superior to those resulting from other sphericity tests. The capability of this new sphericity test to detect closely space sources is examined and compared to the resolution capabilities of bearing estimation algorithms as well as other well-known source detection algorithms
Keywords
acoustic signal processing; probability; signal detection; asymptotic chi-squared distribution; narrow-band passive arrays; probability; sonar; source detection algorithms; sphericity test statistic; Acoustic testing; Array signal processing; Autocorrelation; Entropy; Extrapolation; Narrowband; Signal processing algorithms; Space technology; Spectral analysis; Speech processing;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/29.103104
Filename
103104
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