Artigo de periodico

Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter (2019)

• Authors:
  • Garcia, Roberta Veloso
  • Pardal, Paula Cristiane Pinto Mesquita
  • Kuga, H. K
  • Zanardi, M. C
• USP affiliated authors: GARCIA, ROBERTA VELOSO - EEL ; PARDAL, PAULA CRISTIANE PINTO MESQUITA - EEL
• Unidade: EEL
• DOI: 10.1016/j.asr.2018.10.003
• Assunto: FILTROS DE KALMAN
• Keywords: Attitude estimation; Real data; Euler angles; Cubature Kalman Filter; Extended Kalman Filter; Unscented Kalman Filter
• Agências de fomento:
  • Financiamento CNPq
  • Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
    Processo FAPESP: 2018/04548-4
• Language: Inglês
• Abstract: This article compares the attitude estimated by nonlinear estimator Cubature Kalman Filter with results obtained by the Extended Kalman Filter and Unscented Kalman Filter. Currently these estimators are the subject of great interest in attitude estimation problems, however, mostly the Extended Kalman Filter has been applied to real problems of this nature. In order to evaluate the behavior of the Extended Kalman Filter, Unscented Kalman Filter and Cubature Kalman Filter algorithms when submitted to realistic situations, this paper uses real data of sensors on-board the CBERS-2 remote sensing satellite (China Brazil Earth Resources Satellite). It is observed that, for the case studied in this article, the filters are very competitive and present advantages and disadvantages that should be dealt with according to the requirements of the problem.
• Imprenta:
  • Publisher place: Amsterdã
  • Date published: 2019
• Source:
  • Título: Advances in space research
  • ISSN: 02731177
  • Volume/Número/Paginação/Ano: v.63, n.2, p.1038-1050, 2019

Informações sobre o DOI: 10.1016/j.asr.2018.10.003 (Fonte: oaDOI API)
• Este periódico é de assinatura
• Este artigo é de acesso aberto
• URL de acesso aberto
• Cor do Acesso Aberto: green

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How to cite

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• ABNT

  GARCIA, Roberta Veloso et al. Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter. Advances in space research, v. 63, n. 2, p. 1038-1050, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asr.2018.10.003. Acesso em: 06 nov. 2024.

• APA

  Garcia, R. V., Pardal, P. C. P. M., Kuga, H. K., & Zanardi, M. C. (2019). Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter. Advances in space research, 63( 2), 1038-1050. doi:10.1016/j.asr.2018.10.003

• NLM

  Garcia RV, Pardal PCPM, Kuga HK, Zanardi MC. Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter [Internet]. Advances in space research. 2019 ;63( 2): 1038-1050.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.asr.2018.10.003

• Vancouver

  Garcia RV, Pardal PCPM, Kuga HK, Zanardi MC. Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter [Internet]. Advances in space research. 2019 ;63( 2): 1038-1050.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1016/j.asr.2018.10.003

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