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dc.date.accessioned2013-03-12T08:05:21Z
dc.date.available2013-03-12T08:05:21Z
dc.date.issued2001en_US
dc.date.submitted2002-10-01en_US
dc.identifier.citationCederkvist, Henrik Rene. Kalman Filter Desing, Smoothing and Analysis. Hovedoppgave, University of Oslo, 2001en_US
dc.identifier.urihttp://hdl.handle.net/10852/8981
dc.description.abstractThesis is based on three different aspects of Kalman filtering. >Kalman filters for navigation. Investigate the difference between a Extended Kalman Filter and a Linearized Kalman Filter with feedback. And show how different system models relate to these Kalman Filters when implemented in a filter. >Smoothing. Investigate how much there is to be gained from smoothing. We will only look at the fixed-interval smoother, using the method of forward and backward filtering. >The Covariance Analysis Program. Designing a program that handles the theory of covariance analysis, which gives us the ability to compare system model design and performance.nor
dc.language.isoengen_US
dc.titleKalman Filter Desing, Smoothing and Analysisen_US
dc.typeMaster thesisen_US
dc.date.updated2003-07-04en_US
dc.creator.authorCederkvist, Henrik Reneen_US
dc.subject.nsiVDP::420en_US
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft.au=Cederkvist, Henrik Rene&rft.title=Kalman Filter Desing, Smoothing and Analysis&rft.inst=University of Oslo&rft.date=2001&rft.degree=Hovedoppgaveen_US
dc.identifier.urnURN:NBN:no-979en_US
dc.type.documentHovedoppgaveen_US
dc.identifier.duo1342en_US
dc.identifier.bibsys011532025en_US


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