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REKF and RUKF for pico satellite attitude estimation in the presence of measurement faults 被引量:9
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作者 halil ersin sken Chingiz Hajiyev 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2014年第2期288-297,共10页
When a pico satellite is under normal operational condi- tions, whether it is extended or unscented, a conventional Kalman filter gives sufficiently good estimation results. However, if the measurements are not reliab... When a pico satellite is under normal operational condi- tions, whether it is extended or unscented, a conventional Kalman filter gives sufficiently good estimation results. However, if the measurements are not reliable because of any kind of malfunc- tions in the estimation system, the Kalman filter gives inaccurate results and diverges by time. This study compares two different robust Kalman filtering algorithms, robust extended Kalman filter (REKF) and robust unscented Kalman filter (RUKF), for the case of measurement malfunctions. In both filters, by the use of de- fined variables named as the measurement noise scale factor, the faulty measurements are taken into the consideration with a small weight, and the estimations are corrected without affecting the characteristic of the accurate ones. The proposed robust Kalman filters are applied for the attitude estimation process of a pico satel- lite, and the results are compared. 展开更多
关键词 pico satellite attitude estimation robust Kalman filter-ing extended Kalman filter (EKF) unscented Kalman filter (UKF).
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