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dc.contributor.authorSilva, William Reis-
dc.contributor.authorGarcia, Roberta Veloso-
dc.contributor.authorPardal, Paula C. P. M.-
dc.contributor.authorKuga, Hélio Koiti-
dc.contributor.authorZanardi, Maria Cecília F. P. S.-
dc.contributor.authorBaroni, Leandro-
dc.date.accessioned2024-04-09T17:22:51Z-
dc.date.available2024-04-09T17:22:51Z-
dc.date.issued2023-08-16-
dc.identifier.citationSILVA, William Reis et al. The extended H∞ particle filter for attitude estimation applied to remote sensing satellite CBERS-4. Remote Sensing, [S.l.], v. 15, n. 16, 16 ago. 2023. DOI: https://doi.org/10.3390/rs15164052. Disponível em: https://www.mdpi.com/2072-4292/15/16/4052. Acesso em: 27 março 2024.pt_BR
dc.identifier.urihttp://repositorio2.unb.br/jspui/handle/10482/48064-
dc.language.isoengpt_BR
dc.publisherMDPIpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleThe extended H∞ particle filter for attitude estimation applied to remote sensing satellite CBERS-4pt_BR
dc.typeArtigopt_BR
dc.subject.keywordFiltro de partículaspt_BR
dc.subject.keywordSatélites artificiaispt_BR
dc.subject.keywordPrograma de Satélites Sino-brasileiros de Recursos Terrestres (CBERS)pt_BR
dc.subject.keywordSensoriamento remotopt_BR
dc.rights.license© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).pt_BR
dc.identifier.doihttps://doi.org/10.3390/rs15164052pt_BR
dc.description.abstract1An extension of the linear H∞ filter, presented here as the extended H∞ particle filter (EH∞PF), is used in this work for attitude estimation, which presents a process and measurement model with nonlinear functions. The simulations implemented use orbit and attitude data from CBERS-4 (China–Brazil Earth Resources Satellite-4), making use of the robustness characteristics of the H∞ filter. The CBERS-4 is the fifth satellite of an advantageous international scientific interaction between Brazil and China for the development of remote sensing satellites used for strategic application in monitoring water resources and controlling deforestation in the Legal Amazon. In the extended H∞ particle filter (EH∞PF) the nature of the system, composed of dynamics and noises, seeks to degrade the state estimate. The EH∞PF deals with this by aiming for robustness, using a performance parameter in its cost function, in addition to presenting an advantageous feature of using a reduced number of particles for state estimation. The justification for the application of this method is because the non-Gaussian uncertainties that appear in the attitude sensors impair the estimation process and the EH∞PF minimizes in signal estimation the worst effects of disturbance signals without a priori knowledge of them, as shown in the results, in addition to presenting good precision within the prescribed requirements, with 100 particles representing a processing time 2.09 times less than the PF with 500 particles.pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-4843-0267pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-0633-6272pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-1046-6587pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-0259-0724pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9940-2146pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-1078-7201pt_BR
dc.contributor.affiliationUniversity of Brasilia (UnB), Gama Campus (FGA)pt_BR
dc.contributor.affiliationUniversity of São Paulo (USP), Lorena School of Engineering (EEL)pt_BR
dc.contributor.affiliationCenter of Engineering and Product Development (CEiiA), Collaborative Laboratory (CoLAB)pt_BR
dc.contributor.affiliationNational Institute for Space Research (INPE), Space Mechanics and Control Division (DMC)pt_BR
dc.contributor.affiliationSão Paulo State University (UNESP), Campus Guaratinguetá (FEG)pt_BR
dc.contributor.affiliationFederal University of ABC (UFABC), Engineering, Modeling and Applied Social Sciences Center (CECS)pt_BR
dc.description.unidadeFaculdade UnB Gama (FGA)pt_BR
dc.description.unidadeCurso de Engenharia Aeroespacial (FGA-Engenharia Aeroespacial)pt_BR
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