DocumentCode :
3249324
Title :
A Matched Subspace Approach to Depth Discrimination in a Shallow Water Waveguide
Author :
Premus, V.E. ; Backman, Daniel
Author_Institution :
Ocean Acoust. Services & Instrum. Syst. Inc., Lexington
fYear :
2007
fDate :
4-7 Nov. 2007
Firstpage :
1272
Lastpage :
1276
Abstract :
An application of the Scharf-Friedlander matched subspace detector [1] to the problem of trapped mode subspace discrimination in shallow water acoustics is investigated. The "trapping" of low order modes below the thermocline in a downward refracting shallow channel has been shown to be useful to a class of physics-based sonar discrimination algorithms [2]. It will be shown that by applying a subspace orthogonalization step to a suitably rank-reduced normal mode subspace model, an optimum "trapped" subspace discrimination algorithm is possible even when the trapped and non-trapped subspaces exhibit significant overlap. Data results illustrating performance improvement over a previous sub-optimum LRT implementation that ignored subspace overlap for a shallow water, thinned-VLA case will be shown.
Keywords :
acoustic arrays; acoustic waveguides; Scharf-Friedlander matched subspace detector; depth discrimination; downward refracting shallow channel; optimum trapped subspace discrimination algorithm; physics-based sonar discrimination algorithms; rank-reduced normal mode subspace model; shallow water acoustics; shallow water waveguide; subspace orthogonalization; thinned vertical line array; Acoustic refraction; Acoustic signal detection; Adaptive signal detection; Apertures; Eigenvalues and eigenfunctions; Light rail systems; Signal detection; Sonar; Transmission line matrix methods; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2109-1
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2007.4487430
Filename :
4487430
Link To Document :
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