A time-varying Kalman filter for low-acceleration attitude estimation

UDC.coleccionInvestigaciónes_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.grupoInvGrupo Integrado de Enxeñaría (GII)es_ES
UDC.journalTitleMeasurementes_ES
UDC.volume213es_ES
dc.contributor.authorDeibe Díaz, Álvaro
dc.contributor.authorAntón Nacimiento, José Augusto
dc.contributor.authorCardenal, Jesús
dc.contributor.authorLópez Peña, Fernando
dc.date.accessioned2024-01-23T12:17:33Z
dc.date.available2024-01-23T12:17:33Z
dc.date.issued2023-03-15
dc.descriptionCC BY-NC-ND 4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.description.abstract[Abstract]: This work shows an attitude estimator (AE) based on a time-varying Kalman filter (TVKF) and adapted to those cases where a low-acceleration assumption can be applied. This filter is an extended version of a previously published time-varying Kalman filter attitude estimator (TVKAE). A comparative analysis of the accuracies of those two estimators is provided. The efficiencies of both filters are also compared with those of other published AEs. The results show that the new AE achieves the best overall performance, followed by the original one.es_ES
dc.description.sponsorshipXunta de Galicia; EDC431C-2021/39es_ES
dc.description.sponsorshipThis research has been financed by the Xunta de Galicia and the European Regional Development Funds through grant EDC431C-2021/39, the Spanish Ministry of Education and Science under grants PID2021-126220OB-100 and TED2021-129847B-I00es_ES
dc.identifier.citationÁ. Deibe Díaz, J.A. Antón Nacimiento, J. Cardenal, F.L. Peña, A time-varying Kalman filter for low-acceleration attitude estimation, Measurement 213 (2023) 112729. https://doi.org/10.1016/j.measurement.2023.112729.es_ES
dc.identifier.doihttps://doi.org/10.1016/j.measurement.2023.112729
dc.identifier.issn1873-412X
dc.identifier.urihttp://hdl.handle.net/2183/35071
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-126220OB-100/ESes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-129847B-I00/ESes_ES
dc.relation.urihttps://doi.org/10.1016/j.measurement.2023.112729es_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAttitude estimationes_ES
dc.subjectAHRSes_ES
dc.subjectIMUes_ES
dc.subjectKalman filteres_ES
dc.subjectQuaternionses_ES
dc.titleA time-varying Kalman filter for low-acceleration attitude estimationes_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationda5b2501-eed2-44b4-92e4-d08a741c6516
relation.isAuthorOfPublicationd0e8545b-5445-40eb-b27d-0fdd8e5e55e9
relation.isAuthorOfPublication160445c8-7c3c-4704-9048-3983f3d817f7
relation.isAuthorOfPublication583f33cb-92d0-4e71-85d7-75f8af512846
relation.isAuthorOfPublication.latestForDiscoveryda5b2501-eed2-44b4-92e4-d08a741c6516

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Deibe_Diaz_Alvaro_2023_Time-varying_Kalman_filter_low-acceleration_attitude_estimation.pdf
Size:
968.47 KB
Format:
Adobe Portable Document Format
Description: