@Article{GarciaMatoKugaZana:2016:UnKaFi,
author = "Garcia, Roberta Veloso and Matos, Nicholas de Freitas Oliveira and
Kuga, Helio Koiti and Zanardi, Maria Cecilia",
affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade Estadual
Paulista (UNESP)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Universidade Federal do ABC (UFABC)}",
title = "Unscented Kalman filter for spacecraft attitude estimation using
modified Rodrigues parameters and real data",
journal = "Computational and Applied Mathematics",
year = "2016",
volume = "35",
number = "3",
pages = "835--846",
month = "Oct.",
keywords = "Attitude estimation, Real data, Unscented Kalman filter,
Quaternion, Modified Rodrigues parameters.",
abstract = "In this paper, a sigma-point Kalman filter formulation for
attitude estimation is derived using the modified Rodrigues
parameters and real data of attitude sensors. The unscented Kalman
filter algorithm is used for attitude estimation and the
gyro-based model is considered for attitude propagation. In this
study, the attitude of satellite is estimated using real data
supplied by gyros, Earth sensors and Sun sensors that are on board
of the CBERS-2 (China Brazil Earth Resources Satellite). The
results show that even with a sparse set of measures, the UKF with
MRP shows results similar to those obtained when directly uses the
Euler angles.",
doi = "10.1007/s40314-015-0269-5",
url = "http://dx.doi.org/10.1007/s40314-015-0269-5",
issn = "2238-3603",
language = "en",
targetfile = "Garcia_uns.pdf",
urlaccessdate = "07 maio 2024"
}