Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation
Autor(a) principal: | |
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Data de Publicação: | 2003 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/225170 |
Resumo: | Two 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. |
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Repositório Institucional da UNESP |
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Batch, sequential and hybrid approaches to spacecraft sensor alignment estimationTwo 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.Department of Mathematics Campus de Guarantinguetá Universidade Estadual Paulista, Guarantinguetá (SP)Acme Spacecraft Company Box 328, 13017 Wisteria Drive, Germantown, MD 20874Department of Mathematics Campus de Guarantinguetá Universidade Estadual Paulista, Guarantinguetá (SP)Universidade Estadual Paulista (UNESP)Box 328Zanardi, Maria Celília [UNESP]Shuster, Malcolm D.2022-04-28T20:41:33Z2022-04-28T20:41:33Z2003-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article279-290Journal of the Astronautical Sciences, v. 51, n. 3, p. 279-290, 2003.0021-9142http://hdl.handle.net/11449/2251702-s2.0-4444367157Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of the Astronautical Sciencesinfo:eu-repo/semantics/openAccess2024-07-02T14:28:52Zoai:repositorio.unesp.br:11449/225170Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:09:50.711677Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation |
title |
Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation |
spellingShingle |
Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation Zanardi, Maria Celília [UNESP] |
title_short |
Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation |
title_full |
Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation |
title_fullStr |
Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation |
title_full_unstemmed |
Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation |
title_sort |
Batch, sequential and hybrid approaches to spacecraft sensor alignment estimation |
author |
Zanardi, Maria Celília [UNESP] |
author_facet |
Zanardi, Maria Celília [UNESP] Shuster, Malcolm D. |
author_role |
author |
author2 |
Shuster, Malcolm D. |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Box 328 |
dc.contributor.author.fl_str_mv |
Zanardi, Maria Celília [UNESP] Shuster, Malcolm D. |
description |
Two 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. |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-07-01 2022-04-28T20:41:33Z 2022-04-28T20:41:33Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Journal of the Astronautical Sciences, v. 51, n. 3, p. 279-290, 2003. 0021-9142 http://hdl.handle.net/11449/225170 2-s2.0-4444367157 |
identifier_str_mv |
Journal of the Astronautical Sciences, v. 51, n. 3, p. 279-290, 2003. 0021-9142 2-s2.0-4444367157 |
url |
http://hdl.handle.net/11449/225170 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of the Astronautical Sciences |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
279-290 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128470528557056 |