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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3RFK98P
Repositóriosid.inpe.br/mtc-m21c/2018/07.18.15.53
Última Atualização2020:12.29.15.41.24 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/07.18.15.53.38
Última Atualização dos Metadados2021:02.11.18.14.16 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoPardalKugaGarc:2018:InCuKa
TítuloAn investigation into cubature kalman filter performance for orbit determination application
Ano2018
Data de Acesso12 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho57 KiB
2. Contextualização
Autor1 Pardal, Paula C. P. M.
2 Kuga, Hélio Koiti
3 Garcia, Roberta Veloso
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JHC9
Grupo1
2 DIDMC-CGETE-INPE-MCTIC-GOV-BR
Afiliação1 Universidade de São Paulo (USP)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade de São Paulo (USP)
Endereço de e-Mail do Autor1 paulapardal@usp.br
2 hkk@dem.inpe.br
3 robertagarcia@usp.br
Nome do EventoCospar Scientific Assembly, 42
Localização do EventoPasadena, California
Data14-22 July
Histórico (UTC)2018-07-18 15:54:12 :: simone -> administrator :: 2018
2019-01-04 16:57:07 :: administrator -> simone :: 2018
2019-01-07 09:56:05 :: simone -> administrator :: 2018
2019-01-14 17:06:31 :: administrator -> simone :: 2018
2020-12-29 15:41:25 :: simone -> administrator :: 2018
2021-02-11 18:14:16 :: administrator -> simone :: 2018
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoThe purpose of this work is to discuss the Cubature Kalman Filter (CKF) performance when applied to a high nonlinear problem: artificial satellites orbit determination, using real Global Positioning System (GPS) data. The CKF is a discrete-time nonlinear Bayesian filter based on a third-degree spherical-radial cubature rule, which allows to numerically computing multivariate moment integrals in the Bayesian filter. In particular, it also provides a set of cubature points scaling linearly with the state vector dimension. As a result, the CKF yields a systematic solution for high dimensional nonlinear filtering problems, such as the orbit determination addressed here. In this work, the application consists of determining the orbit of an artificial satellite, using real data from the GPS receivers. This is a nonlinear problem, with respect to the dynamics and measurements equations, in which the disturbing forces are not easily modeled. The problem of orbit determination consists essentially of estimating values that completely specify the body trajectory in the space, processing a set of observations that can be collected through a tracking network grounded on Earth or through sensors, like space GPS receivers onboard the satellite. The GPS is a widespread system that allows computation of orbits for artificial Earth satellites by providing many redundant measurements. Throughout an onboard GPS receiver, it is possible to obtain nonlinear measurements (pseudoranges) that can be processed to estimate the orbital state. The standard differential equations describing the orbital motion and the GPS measurements equations are adapted for the nonlinear filter so that the CKF algorithm is also used for estimating the orbital state. The assessment to be presented will be based on the robustness of the filter, concerning convergence speed when the measurements are scattered. The results from CKF will be compared to the unscented Kalman filter (UKF) results for the same problem, in computational terms such as convergence and accuracy. Based on the analysis of such criteria, the advantages and drawbacks of the implementations are presented.
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3RFK98P
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3RFK98P
Idiomaen
Arquivo Alvopardal_investigation.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/446AF4B
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.49.46 1
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Controle da descrição
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