Ambient Noise Effects in the Modeling of Detection by a Field of Sensors.
This report describes a mathematical model for the ambient noise in the ocean caused by merchant ships. This kind of noise dominates in a frequency range in which many initial detections are made by modern sonar equipment and hence an understanding of it is of considerable interest. A stochastic mod...
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ftdtic:ADA035358 2023-05-15T17:34:11+02:00 Ambient Noise Effects in the Modeling of Detection by a Field of Sensors. McCabe,Bernard J WAGNER (DANIEL H) ASSOCIATES PAOLI PA 1976-11-05 text/html http://www.dtic.mil/docs/citations/ADA035358 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA035358 en eng http://www.dtic.mil/docs/citations/ADA035358 APPROVED FOR PUBLIC RELEASE DTIC AND NTIS Acoustic Detection and Detectors Acoustics *ACOUSTIC DETECTION *AMBIENT NOISE *OCEAN SURVEILLANCE MATHEMATICAL MODELS SPATIAL DISTRIBUTION STOCHASTIC PROCESSES WAVE PROPAGATION MERCHANT VESSELS NORTH ATLANTIC OCEAN NORWEGIAN SEA MARKOV PROCESSES UNDERWATER SOUND SONAR SIGNALS WUNR274254 PE65152N Text 1976 ftdtic 2016-02-20T12:10:32Z This report describes a mathematical model for the ambient noise in the ocean caused by merchant ships. This kind of noise dominates in a frequency range in which many initial detections are made by modern sonar equipment and hence an understanding of it is of considerable interest. A stochastic model for ambient noise is defined and its main properties are explored. The ambient noise process is a function both of time and of space, and it is shown to be a stationary stochastic process as a function of either of these variables. Its characteristic function is calculated as are its first two moments. It is shown that the ambient noise process as a function of time has approximately an exponential autocovariance function and it may be satisfactorily modeled as a Gauss-Markov process. Further, it is shown that the correlation between the ambient noise at two points depends to a good approximation only on the propagation loss function and on the distance between these two points (and not materially on the density or loudness of the noise field). Finally, an effective and practical method for modeling the multidimensional detection process is presented. (Author) Text North Atlantic Norwegian Sea Defense Technical Information Center: DTIC Technical Reports database Norwegian Sea |
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Open Polar |
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Defense Technical Information Center: DTIC Technical Reports database |
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language |
English |
topic |
Acoustic Detection and Detectors Acoustics *ACOUSTIC DETECTION *AMBIENT NOISE *OCEAN SURVEILLANCE MATHEMATICAL MODELS SPATIAL DISTRIBUTION STOCHASTIC PROCESSES WAVE PROPAGATION MERCHANT VESSELS NORTH ATLANTIC OCEAN NORWEGIAN SEA MARKOV PROCESSES UNDERWATER SOUND SONAR SIGNALS WUNR274254 PE65152N |
spellingShingle |
Acoustic Detection and Detectors Acoustics *ACOUSTIC DETECTION *AMBIENT NOISE *OCEAN SURVEILLANCE MATHEMATICAL MODELS SPATIAL DISTRIBUTION STOCHASTIC PROCESSES WAVE PROPAGATION MERCHANT VESSELS NORTH ATLANTIC OCEAN NORWEGIAN SEA MARKOV PROCESSES UNDERWATER SOUND SONAR SIGNALS WUNR274254 PE65152N McCabe,Bernard J Ambient Noise Effects in the Modeling of Detection by a Field of Sensors. |
topic_facet |
Acoustic Detection and Detectors Acoustics *ACOUSTIC DETECTION *AMBIENT NOISE *OCEAN SURVEILLANCE MATHEMATICAL MODELS SPATIAL DISTRIBUTION STOCHASTIC PROCESSES WAVE PROPAGATION MERCHANT VESSELS NORTH ATLANTIC OCEAN NORWEGIAN SEA MARKOV PROCESSES UNDERWATER SOUND SONAR SIGNALS WUNR274254 PE65152N |
description |
This report describes a mathematical model for the ambient noise in the ocean caused by merchant ships. This kind of noise dominates in a frequency range in which many initial detections are made by modern sonar equipment and hence an understanding of it is of considerable interest. A stochastic model for ambient noise is defined and its main properties are explored. The ambient noise process is a function both of time and of space, and it is shown to be a stationary stochastic process as a function of either of these variables. Its characteristic function is calculated as are its first two moments. It is shown that the ambient noise process as a function of time has approximately an exponential autocovariance function and it may be satisfactorily modeled as a Gauss-Markov process. Further, it is shown that the correlation between the ambient noise at two points depends to a good approximation only on the propagation loss function and on the distance between these two points (and not materially on the density or loudness of the noise field). Finally, an effective and practical method for modeling the multidimensional detection process is presented. (Author) |
author2 |
WAGNER (DANIEL H) ASSOCIATES PAOLI PA |
format |
Text |
author |
McCabe,Bernard J |
author_facet |
McCabe,Bernard J |
author_sort |
McCabe,Bernard J |
title |
Ambient Noise Effects in the Modeling of Detection by a Field of Sensors. |
title_short |
Ambient Noise Effects in the Modeling of Detection by a Field of Sensors. |
title_full |
Ambient Noise Effects in the Modeling of Detection by a Field of Sensors. |
title_fullStr |
Ambient Noise Effects in the Modeling of Detection by a Field of Sensors. |
title_full_unstemmed |
Ambient Noise Effects in the Modeling of Detection by a Field of Sensors. |
title_sort |
ambient noise effects in the modeling of detection by a field of sensors. |
publishDate |
1976 |
url |
http://www.dtic.mil/docs/citations/ADA035358 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA035358 |
geographic |
Norwegian Sea |
geographic_facet |
Norwegian Sea |
genre |
North Atlantic Norwegian Sea |
genre_facet |
North Atlantic Norwegian Sea |
op_source |
DTIC AND NTIS |
op_relation |
http://www.dtic.mil/docs/citations/ADA035358 |
op_rights |
APPROVED FOR PUBLIC RELEASE |
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1766132947043221504 |