On the Accuracy of the One-step UKF and the Two-step UKF

dc.contributor.authorGoel, Ankit
dc.contributor.authorBernstein, Dennis S.
dc.date.accessioned2022-10-07T14:16:00Z
dc.date.available2022-10-07T14:16:00Z
dc.date.issued2022-08-18
dc.description.abstractThe most accurate version of the unscented Kalman filter (UKF) involves the construction of two ensembles. To reduce computational cost, however, UKF is often implemented without the second ensemble. This simplification comes at a price, however, since, for linear systems, the one-step variation of the two-step UKF does not specialize to the classical Kalman filter, with an associated loss of accuracy. This paper remedies this drawback by developing a modified one-step UKF that recovers the classical Kalman filter for linear systems. Numerical examples show that the modified one-step UKF also recovers the accuracy of the two-step UKF in nonlinear systems with linear outputs.en_US
dc.description.urihttps://arxiv.org/abs/2208.09055en_US
dc.format.extent7 pagesen_US
dc.genrejournal articlesen_US
dc.genrepreprintsen_US
dc.identifierdoi:10.13016/m2btut-1r5s
dc.identifier.urihttps://doi.org/10.48550/arXiv.2208.09055
dc.identifier.urihttp://hdl.handle.net/11603/26112
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mechanical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleOn the Accuracy of the One-step UKF and the Two-step UKFen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-4146-6275en_US

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