Modelling tools for active classification in shallow water environments

Several tools have been developed, primarily using MATLAB, for modeling the active return of a target in an arbitrary, three-dimensional ocean environment and for quantifying the environmental distortion and interference. An acoustic model based on ray theory is used to compute the target echo and r...

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Main Author: Huelsnitz, Warren G.
Other Authors: Miller, James H., Chiu, Ching-Sang, Applied Physics, Physical Oceanography
Format: Thesis
Language:English
Published: Monterey, California. Naval Postgraduate School 1994
Subjects:
NA
Online Access:https://hdl.handle.net/10945/30567
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spelling ftnavalpschool:oai:calhoun.nps.edu:10945/30567 2024-06-09T07:45:01+00:00 Modelling tools for active classification in shallow water environments NA Huelsnitz, Warren G. Miller, James H. Chiu, Ching-Sang Applied Physics Physical Oceanography 1994-09 44 p.;28 cm. application/pdf https://hdl.handle.net/10945/30567 en_US eng Monterey, California. Naval Postgraduate School https://hdl.handle.net/10945/30567 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. NA Thesis 1994 ftnavalpschool 2024-05-15T01:02:41Z Several tools have been developed, primarily using MATLAB, for modeling the active return of a target in an arbitrary, three-dimensional ocean environment and for quantifying the environmental distortion and interference. An acoustic model based on ray theory is used to compute the target echo and reverberation. These tools have been applied to Barents Sea and Gulf of Sidra ocean environments for a billboard transmit/receive any of 23 equally spaced elements. The frequency dependence of a sonar target's echo depends on its size, shape, wall thickness, and acoustic impedance. Active classification involves using this signature', or transfer function, to classify the target and reduce or eliminate false alarms. Complications arise due to the signal distortion that occurs in inhomogeneous ocean environments, particularly in shallow water. Multiple paths, reverberation, and ambient noise modify the received signal and make it difficult to extract the target's response. It is hoped that these tools will provide insight into the modelling and signal processing requirements for active classification as well as realistic signals for testing various schemes. NA NA U.S. Navy (U.S.N.) author. http://archive.org/details/modellingtoolsfo1094530567 Thesis Barents Sea Naval Postgraduate School: Calhoun Barents Sea Billboard ENVELOPE(-145.667,-145.667,-77.067,-77.067)
institution Open Polar
collection Naval Postgraduate School: Calhoun
op_collection_id ftnavalpschool
language English
topic NA
spellingShingle NA
Huelsnitz, Warren G.
Modelling tools for active classification in shallow water environments
topic_facet NA
description Several tools have been developed, primarily using MATLAB, for modeling the active return of a target in an arbitrary, three-dimensional ocean environment and for quantifying the environmental distortion and interference. An acoustic model based on ray theory is used to compute the target echo and reverberation. These tools have been applied to Barents Sea and Gulf of Sidra ocean environments for a billboard transmit/receive any of 23 equally spaced elements. The frequency dependence of a sonar target's echo depends on its size, shape, wall thickness, and acoustic impedance. Active classification involves using this signature', or transfer function, to classify the target and reduce or eliminate false alarms. Complications arise due to the signal distortion that occurs in inhomogeneous ocean environments, particularly in shallow water. Multiple paths, reverberation, and ambient noise modify the received signal and make it difficult to extract the target's response. It is hoped that these tools will provide insight into the modelling and signal processing requirements for active classification as well as realistic signals for testing various schemes. NA NA U.S. Navy (U.S.N.) author. http://archive.org/details/modellingtoolsfo1094530567
author2 Miller, James H.
Chiu, Ching-Sang
Applied Physics
Physical Oceanography
format Thesis
author Huelsnitz, Warren G.
author_facet Huelsnitz, Warren G.
author_sort Huelsnitz, Warren G.
title Modelling tools for active classification in shallow water environments
title_short Modelling tools for active classification in shallow water environments
title_full Modelling tools for active classification in shallow water environments
title_fullStr Modelling tools for active classification in shallow water environments
title_full_unstemmed Modelling tools for active classification in shallow water environments
title_sort modelling tools for active classification in shallow water environments
publisher Monterey, California. Naval Postgraduate School
publishDate 1994
url https://hdl.handle.net/10945/30567
long_lat ENVELOPE(-145.667,-145.667,-77.067,-77.067)
geographic Barents Sea
Billboard
geographic_facet Barents Sea
Billboard
genre Barents Sea
genre_facet Barents Sea
op_relation https://hdl.handle.net/10945/30567
op_rights This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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