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Target tracking onboard an autonomous underwater vehicle : determining optimal towed array heading in an anisotropic noise field

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dc.contributor.advisor Henrik Schmidt. en_US
dc.contributor.author Parra-Orlandoni, Maria Alejandra en_US
dc.contributor.other Woods Hole Oceanographic Institution. en_US
dc.date.accessioned 2008-09-03T15:19:03Z
dc.date.available 2008-09-03T15:19:03Z
dc.date.copyright 2007 en_US
dc.date.issued 2007 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/42315
dc.description Thesis (S.M.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and the Woods Hole Oceanographic Institution), 2007. en_US
dc.description Includes bibliographical references (p. 73-76). en_US
dc.description.abstract In order to overcome the challenges that an anisotropic noise field poses for underwater target tracking, we conduct an onboard estimation of the horizontal noise directionality in the real-time processing suite of an autonomous underwater vehicle (AUV) towing a horizontal line array. The estimation of the noise directionality is a precursor to another adaptive behavior: optimizing tracking capability of a towed array by choosing a particular heading that minimizes the detection level in the target's direction. In each distinct simulated anisotropic noise field, the AUV successfully calculates the optimal towed array headings based on the real-time estimation of the horizontal noise directionality. The findings reveal a clear advantage over the conventional broadside beam tracking method, with some limitations due predominantly to the noise field itself. en_US
dc.description.statementofresponsibility by Maria Alejandra Parra-Orlandoni. en_US
dc.format.extent 109 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/1721.1/7582 en_US
dc.subject /Woods Hole Oceanographic Institution. Joint Program in Oceanography/Applied Ocean Science and Engineering. en_US
dc.subject Mechanical Engineering. en_US
dc.subject Woods Hole Oceanographic Institution. en_US
dc.title Target tracking onboard an autonomous underwater vehicle : determining optimal towed array heading in an anisotropic noise field en_US
dc.type Thesis en_US
dc.description.degree S.M. en_US
dc.contributor.department Joint Program in Oceanography/Applied Ocean Science and Engineering. en_US
dc.contributor.department Massachusetts Institute of Technology. Dept. of Mechanical Engineering. en_US
dc.contributor.department Woods Hole Oceanographic Institution. en_US
dc.identifier.oclc 232640181 en_US


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