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Kalman Filtering for Spacecraft Attitude Estimation by Low-Cost Sensors
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 Title & Authors
Kalman Filtering for Spacecraft Attitude Estimation by Low-Cost Sensors
Lee, Henzeh; Choi, Yoon-Hyuk; Bang, Hyo-Choong; Park, Jong-Oh;
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In this paper, fine attitude estimation using low-cost sensors for attitude pointing missions of spacecraft is addressed. Attitude kinematics and gyro models including bias models are in general utilized to estimate spacecraft attitude and angular rate. However, a linearized model and a transition matrix are derived in this paper from nonlinear spacecraft dynamics with external disturbances. A Kalman filtering technique is applied and offers relatively high estimation accuracy under dynamic uncertainties. The proposed approach is demonstrated using numerical simulations.
Kalman Filter;low-cost sensors;external disturbance;attitude pointing
 Cited by
Theoretical Research on Full Attitude Determination Using Geomagnetic Gradient Tensor, Journal of Navigation, 2015, 68, 05, 951  crossref(new windwow)
Uncorrelated unscented filtering for spacecraft attitude determination, Acta Astronautica, 2010, 67, 1-2, 135  crossref(new windwow)
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