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Acoustic classification of buried objects with mobile sonar platforms

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dc.contributor.advisor Henrik Schmidt. en_US
dc.contributor.author Edwards, Joseph Richard, 1971- en_US
dc.contributor.other Massachusetts Institute of Technology. Dept. of MEchanical Engineering. en_US
dc.date.accessioned 2007-09-27T20:16:15Z
dc.date.available 2007-09-27T20:16:15Z
dc.date.copyright 2006 en_US
dc.date.issued 2006 en_US
dc.identifier.uri http://dspace.mit.edu/handle/1721.1/37568 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/37568
dc.description Thesis (Ph. D. in Ocean Engineering)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006. en_US
dc.description Includes bibliographical references (p. 229-237). en_US
dc.description.abstract In this thesis, the use of highly mobile sonar platforms is investigated for the purpose of acoustically classifying compact objects on or below the seabed. The extension of existing strategies, including synthetic aperture sonar and conventional imaging, are explored within the context of the buried object problem. In particular, the need to employ low frequencies for seabed penetration is shown to have a significant impact both due to the relative length of the characteristic scattering mechanisms and due to the interface effects on the target scattering. New sonar strategies are also shown that exploit incoherent wide apertures that are created by multiple sonar platforms. For example, target shape can be inverted by mapping the scattered field from the target with a team of receiver vehicles. A single sonar-adaptive sonar platform is shown to have the ability to perform hunting and classification tasks more efficiently than its pre-programmed counterpart. While the monostatic sonar platform is often dominated by the source component, the bistatic or passive receiver platform behavior is controlled by the target response. The sonar-adaptive platform trajectory, however, can result in the platform finishing its classification effort out of position to complete further tasks. en_US
dc.description.abstract (cont.) Within the context of a larger mission, the use of predetermined adaptive behaviors is shown to provide improved detection and classification performance while minimizing the risk to the overall mission. Finally, it is shown that multiple sonar-adaptive platforms can be used to create new sonar strategies for hunting and classifying objects by shape and content. The ability to sample the scattered field from the target across a wide variety of positions allows an analysis of the aspect-dependent behavior of the target. The aspect-dependence of the specular returns indicate the shape of the target, while the secondary returns from an elastic target are also strongly aspect-dependent. These features are exploited for improved classification performance in the buried object hunting mission. en_US
dc.description.statementofresponsibility by Joseph R. Edwards. en_US
dc.format.extent 237 p. en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/37568 en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582
dc.subject MEchanical Engineering. en_US
dc.title Acoustic classification of buried objects with mobile sonar platforms en_US
dc.type Thesis en_US
dc.description.degree Ph.D.in Ocean Engineering en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of MEchanical Engineering. en_US
dc.identifier.oclc 76877574 en_US


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