Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorBox 328-
Autor(es): dc.creatorZanardi, Maria Celília-
Autor(es): dc.creatorShuster, Malcolm D.-
Data de aceite: dc.date.accessioned2025-08-21T16:19:51Z-
Data de disponibilização: dc.date.available2025-08-21T16:19:51Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2003-07-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/225170-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/225170-
Descrição: dc.descriptionTwo 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.-
Descrição: dc.descriptionDepartment of Mathematics Campus de Guarantinguetá Universidade Estadual Paulista, Guarantinguetá (SP)-
Descrição: dc.descriptionAcme Spacecraft Company Box 328, 13017 Wisteria Drive, Germantown, MD 20874-
Descrição: dc.descriptionDepartment of Mathematics Campus de Guarantinguetá Universidade Estadual Paulista, Guarantinguetá (SP)-
Formato: dc.format279-290-
Idioma: dc.languageen-
Relação: dc.relationJournal of the Astronautical Sciences-
???dc.source???: dc.sourceScopus-
Título: dc.titleBatch, sequential and hybrid approaches to spacecraft sensor alignment estimation-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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