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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Monterey, California. Naval Postgraduate School
1994
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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 |
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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 |
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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. |
_version_ |
1801373937663213568 |