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dc.contributor.advisorMolteno, Tim
dc.contributor.authorSoundy, Andrew Walden Ross
dc.date.available2017-03-12T20:13:10Z
dc.date.copyright2017
dc.identifier.citationSoundy, A. W. R. (2017). Higher-Order GPS Noise Models, with Applications to Position Inference and Vehicle Navigation (Thesis, Master of Science). University of Otago. Retrieved from http://hdl.handle.net/10523/7167en
dc.identifier.urihttp://hdl.handle.net/10523/7167
dc.description.abstractThis thesis presents an experimental and theoretical investigation of GPS errors. Data from stationary GPS units were gathered from several locations and an analysis of the noise present was undertaken. Several noise models were proposed and their relative performance compared using the Akaike Information Criterion. A vehicle navigation system was implemented using a dynamical vehicle model which combined GPS, accelerometer and gyroscope measurements via a nonlinear Kalman filter to enable superior position and velocity estimation, especially during shortterm losses of GPS signal.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherUniversity of Otago
dc.rightsAll items in OUR Archive are provided for private study and research purposes and are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectGPS
dc.subjectNoise
dc.subjectFiltering
dc.titleHigher-Order GPS Noise Models, with Applications to Position Inference and Vehicle Navigation
dc.typeThesis
dc.date.updated2017-03-10T21:57:23Z
dc.language.rfc3066en
thesis.degree.disciplineElectronics
thesis.degree.nameMaster of Science
thesis.degree.grantorUniversity of Otago
thesis.degree.levelMasters
otago.openaccessOpen
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