@Article{SilvaGarcKugaZana:2018:SpAtEs,
author = "Silva, William Reis and Garcia, Roberta V. and Kuga, H{\'e}lio
Koiti and Zanardi, Maria Cecilia",
affiliation = "{Instituto Tecnologico de Aeron{\'a}utica (ITA)} and
{Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Federal do ABC
(UFABC)}",
title = "Spacecraft attitude estimation using unscented kalman filters,
regularized particle filter and extended H filter",
journal = "Advances in the Astronautical Sciences",
year = "2018",
volume = "162",
pages = "1195--1214",
abstract = "In this work, the attitude determination and the gyros drift
estimation will be described for nonlinear systems using the
Extended Kalman Filter (EKF), Extended H Filter (EHF),
Second-Order Extended H Filter (SOEHF), Unscented Kalman Filter
(UKF) and Regularized Particle Filter (RPF). An analysis of these
estimation methods will be done, verifying which of them present
better precision in such study. The attitude model is described by
quaternions and the attitude sensors available are two DSS
(Digital Sun Sensors), two IRES (Infrared Earth Sensor), and one
triad of mechanical gyros. The application uses the simulated
measurement data for orbit and attitude of the CBERS-2 (China
Brazil Earth Resources Satellite) which has polar sun-synchronous
orbit with an altitude of 778km, making about 14 revolutions per
day. In this orbit, the satellite crosses the equator line always
at the same local time, around 10:30 am. This dynamics allows the
same conditions of solar illumination to be obtained during the
acquisition of images. The simulated measurements of the CBERS-2
were provided by the inhouse package PROPAT, a Satellite Attitude
and Orbit Toolbox for Matlab. The results in this work show that
one can reach accuracies in attitude determination within the
prescribed requirements, besides providing estimates of the gyro
drifts which can be further used to enhance the gyro error
model.",
issn = "0065-3438.",
language = "en",
targetfile = "silva_artigo.pdf",
urlaccessdate = "02 maio 2024"
}