DocumentCode
375917
Title
Model-based detection in a shallow water ocean environment
Author
Candy, James V.
Author_Institution
Lawrence Livermore Nat. Lab., California Univ., Livermore, CA, USA
Volume
2
fYear
2001
fDate
2001
Firstpage
769
Abstract
A model-based detector is developed to process shallow water ocean acoustic data. The function of the detector, is to adaptively monitor the environment and decide whether or not a change from normal has occurred. Here we develop a processor incorporating both a normal-mode ocean acoustic model and a vertical hydrophone array. The detector is applied to data acquired from the Hudson Canyon experiments at various ranges and its performance is evaluated
Keywords
acoustic signal detection; acoustic signal processing; acoustic transducer arrays; array signal processing; hydrophones; oceanographic techniques; underwater sound; Hudson Canyon; model-based detection; normal-mode ocean acoustic model; ocean acoustic signal processing; performance evaluation; shallow water ocean acoustic data processing; shallow water ocean environment; vertical hydrophone array; Acoustic propagation; Acoustic signal detection; Detectors; Laboratories; Mathematical model; Monitoring; Oceans; Predictive models; Sea measurements; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS, 2001. MTS/IEEE Conference and Exhibition
Conference_Location
Honolulu, HI
Print_ISBN
0-933957-28-9
Type
conf
DOI
10.1109/OCEANS.2001.968217
Filename
968217
Link To Document