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dc.contributor.authorLeader, Daniel Eugeneen_US
dc.date.accessioned2005-08-16T22:30:54Z
dc.date.available2005-08-16T22:30:54Z
dc.date.issued1994en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/12097
dc.descriptionThesis (Ocean. E.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1994.en_US
dc.descriptionGRSN 8-8434en_US
dc.descriptionIncludes bibliographical references (leaves 90-91).en_US
dc.description.statementofresponsibilityby Daniel Eugene Leader.en_US
dc.format.extent106 leavesen_US
dc.format.extent6664411 bytes
dc.format.extent6664168 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectOcean Engineeringen_US
dc.titleKalman filter estimation of underwater vehicle position and attitude using Doppler velocity aided inertial motion uniten_US
dc.typeThesisen_US
dc.description.degreeOcean.E.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Ocean Engineering
dc.identifier.oclc31727151en_US


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