@Article{GarciaKugaZana:2012:UnKaFi,
author = "Garcia, Roberta Veloso and Kuga, Helio Koiti and Zanardi, Maria
Cecilia F. P. S.",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
Department of Mathematics, FEG, UNESP",
title = "Unscented Kalman Filter Applied to the Spacecraft Attitude
Estimation with Euler Angles",
journal = "Mathematical Problems in Engineering",
year = "2012",
volume = "2012",
number = "Article ID 985429",
pages = "1--12",
note = "{Setores de Atividade: Pesquisa e desenvolvimento
cient{\'{\i}}fico.}",
keywords = "Unscented Kalman filter, ATTITUDE DETERMINATION, Euler angles
estimation.",
abstract = "The aim of this work is to test an algorithm to estimate, in real
time, the attitude of an artificial satellite using real data
supplied by attitude sensors that are on board of the CBERS-2
satellite China Brazil Earth Resources Satellite. The real-time
estimator used in this work for attitude determination is the
Unscented Kalman Filter. This filter is a new alternative to the
extended Kalman filter usually applied to the estimation and
control problems of attitude and orbit. This algorithm is capable
of carrying out estimation of the states of nonlinear systems,
without the necessity of linearization of the nonlinear functions
present in the model. This estimation is possible due to a
transformation that generates a set of vectors that, suffering a
nonlinear transformation, preserves the same mean and covariance
of the random variables before the transformation. The performance
will be evaluated and analyzed through the comparison between the
Unscented Kalman filter and the extended Kalman filter results, by
using real onboard data.",
doi = "10.1155/2012/985429",
url = "http://dx.doi.org/10.1155/2012/985429",
issn = "1024-123X and 1563-5147",
label = "lattes: 1786255724025154 2 GarciaKugaZana:2012:UnKaFi",
language = "en",
targetfile = "Garcia_et_al_2012_UnscentedKalmanFilter.pdf",
urlaccessdate = "02 maio 2024"
}