Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation

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dc.contributor.authorZanardi, Maria Celília [UNESP]
dc.contributor.authorShuster, Malcolm D.
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionBox 328
dc.date.accessioned2022-04-28T20:41:33Z
dc.date.available2022-04-28T20:41:33Z
dc.date.issued2003-07-01
dc.description.abstractTwo Kalman-filter formulations are presented for the estimation of spacecraft sensor misalignments from inflight data. In the first the sensor misalignments are part of the filter state variable; in the second, which we call HYLIGN, the state vector contains only dynamical variables, but the sensitivities of the filter innovations to the misalignments are calculated within the Kalman filter. This procedure permits the misalignments to be estimated in batch mode as well as a much smaller dimension for the Kalman filter state vector. This results not only in a significantly smaller computational burden but also in a smaller sensitivity of the misalignment estimates to outliers in the data. Numerical simulations of the filter performance are presented.en
dc.description.affiliationDepartment of Mathematics Campus de Guarantinguetá Universidade Estadual Paulista, Guarantinguetá (SP)
dc.description.affiliationAcme Spacecraft Company Box 328, 13017 Wisteria Drive, Germantown, MD 20874
dc.description.affiliationUnespDepartment of Mathematics Campus de Guarantinguetá Universidade Estadual Paulista, Guarantinguetá (SP)
dc.format.extent279-290
dc.identifier.citationJournal of the Astronautical Sciences, v. 51, n. 3, p. 279-290, 2003.
dc.identifier.issn0021-9142
dc.identifier.scopus2-s2.0-4444367157
dc.identifier.urihttp://hdl.handle.net/11449/225170
dc.language.isoeng
dc.relation.ispartofJournal of the Astronautical Sciences
dc.sourceScopus
dc.titleBatch, sequential and hybrid approaches to spacecraft sensor alignment estimationen
dc.typeArtigo
unesp.departmentMatemática - FEGpt

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