dc.date.accessioned | 2013-03-12T08:05:21Z | |
dc.date.available | 2013-03-12T08:05:21Z | |
dc.date.issued | 2001 | en_US |
dc.date.submitted | 2002-10-01 | en_US |
dc.identifier.citation | Cederkvist, Henrik Rene. Kalman Filter Desing, Smoothing and Analysis. Hovedoppgave, University of Oslo, 2001 | en_US |
dc.identifier.uri | http://hdl.handle.net/10852/8981 | |
dc.description.abstract | Thesis 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.iso | eng | en_US |
dc.title | Kalman Filter Desing, Smoothing and Analysis | en_US |
dc.type | Master thesis | en_US |
dc.date.updated | 2003-07-04 | en_US |
dc.creator.author | Cederkvist, Henrik Rene | en_US |
dc.subject.nsi | VDP::420 | en_US |
dc.identifier.bibliographiccitation | info: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=Hovedoppgave | en_US |
dc.identifier.urn | URN:NBN:no-979 | en_US |
dc.type.document | Hovedoppgave | en_US |
dc.identifier.duo | 1342 | en_US |
dc.identifier.bibsys | 011532025 | en_US |