Unscented Kalman filter and smoothing applied to attitude estimation of artificial satellites (2018)
- Authors:
- Autor USP: GARCIA, ROBERTA VELOSO - EEL
- Unidade: EEL
- DOI: 10.1007/s40314-018-0576-8
- Subjects: SATÉLITES ARTIFICIAIS; FILTROS DE KALMAN
- Keywords: Rauch–Tung–Striebel smoother; Unscented Kalman filter; Attitude estimation; Euler angles
- Agências de fomento:
- Language: Inglês
- Abstract: This article uses the state smoothing methodology applied to nonlinear systems to refine the attitude of artificial satellites. In this paper, simulated data of telemetry and ephemeris of a satellite with the specifications of China Brazil Earth Resources Satellite are considered and the dynamic system is described by the set of kinematic equations in terms of the Euler angles and the bias vector of gyroscope. The estimator used to determine the forward estimates in time is the Unscented Kalman filter, while the Rauch–Tung–Striebel fixed interval estimator makes the estimate backward time. The results show that, although the time of the estimation process is slightly increased, the smoother presents estimated attitude and bias closer to the real values than the estimated values when using only the Unscented Kalman filter. Therefore, the smoother can be considered as a technique that provides refined measurements of the attitude and bias of the gyroscope that may serve to calibrate the Kalman filter for next estimates.
- Imprenta:
- Publisher: SBMAC
- Publisher place: São Carlos-SP
- Date published: 2018
- Source:
- Título: Computational & applied mathematics
- ISSN: 0101-8205
- Volume/Número/Paginação/Ano: v. 37, p.55-64, 2018
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GARCIA, Roberta Veloso et al. Unscented Kalman filter and smoothing applied to attitude estimation of artificial satellites. Computational & applied mathematics, v. 37, p. 55-64, 2018Tradução . . Disponível em: https://doi.org/10.1007/s40314-018-0576-8. Acesso em: 26 dez. 2025. -
APA
Garcia, R. V., Kuga, H. K., Silva, W. R., & Zanardi, M. C. F. de P. S. (2018). Unscented Kalman filter and smoothing applied to attitude estimation of artificial satellites. Computational & applied mathematics, 37, 55-64. doi:10.1007/s40314-018-0576-8 -
NLM
Garcia RV, Kuga HK, Silva WR, Zanardi MCF de PS. Unscented Kalman filter and smoothing applied to attitude estimation of artificial satellites [Internet]. Computational & applied mathematics. 2018 ; 37 55-64.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1007/s40314-018-0576-8 -
Vancouver
Garcia RV, Kuga HK, Silva WR, Zanardi MCF de PS. Unscented Kalman filter and smoothing applied to attitude estimation of artificial satellites [Internet]. Computational & applied mathematics. 2018 ; 37 55-64.[citado 2025 dez. 26 ] Available from: https://doi.org/10.1007/s40314-018-0576-8 - Unscented kalman filter for determination of spacecraft attitude using different attitude parameterizations and real data
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Informações sobre o DOI: 10.1007/s40314-018-0576-8 (Fonte: oaDOI API)
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