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dc.contributor.authorMayhew, David McNeilen_US
dc.date.accessioned2014-03-14T20:40:46Z
dc.date.available2014-03-14T20:40:46Z
dc.date.issued1999-04-18en_US
dc.identifier.otheretd-062899-064821en_US
dc.identifier.urihttp://hdl.handle.net/10919/33808
dc.description.abstractWith the advent of the Global Position System (GPS), we now have the ability to determine absolute position anywhere on the globe. Although GPS systems work well in open environments with no overhead obstructions, they are subject to large unavoidable errors when the reception from some of the satellites is blocked. This occurs frequently in urban environments, such as downtown New York City. GPS systems require at least four satellites visible to maintain a good position â fixâ . Tall buildings and tunnels often block several, if not all, of the satellites. Additionally, due to Selective Availability (SA), where small amounts of error are intentionally introduced, GPS errors can typically range up to 100 ft or more. This thesis proposes several methods for improving the position estimation capabilities of a system by incorporating other sensor and data technologies, including Kalman filtered inertial navigation systems, rule-based and fuzzy-based sensor fusion techniques, and a unique map-matching algorithm.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartetd.PDFen_US
dc.rightsI hereby grant to Virginia Tech or its agents the right to archive and to make available my thesis or dissertation in whole or in part in the University Libraries in all forms of media, now or hereafter known. I retain all proprietary rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part of this thesis or dissertation.en_US
dc.subjectGPSen_US
dc.subjectnavigationen_US
dc.subjectsensor fusionen_US
dc.subjectKalman filteringen_US
dc.titleMulti-rate Sensor Fusion for GPS Navigation Using Kalman Filteringen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
dc.contributor.committeechairKachroo, Pushkinen_US
dc.contributor.committeememberBay, John S.en_US
dc.contributor.committeememberBall, Joseph A.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-062899-064821/en_US
dc.date.sdate1999-06-28en_US
dc.date.rdate2000-07-08
dc.date.adate1999-07-08en_US


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