Computer Science
Scientific paper
Sep 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003spie.5253..690f&link_type=abstract
Fifth International Symposium on Instrumentation and Control Technology. Edited by Zhang, Guangjun; Zhao, Huijie; Wang, Zhongyu
Computer Science
Scientific paper
Celestial Navigation is a completely autonomous navigation method for spacecraft. When the Extended Kalman filter is applied to the autonomous celestial navigation, the state and measurement equations need to be linearized. The precision of the estimation isn't fine because of the truncated error of the high-order items introduced by linearization. Unscented Kalman filtering is a new method aimed at nonlinear systems. It is applied to the autonomous celestial navigation of the lunar explorer in this paper, and the simulation is studied based on the Cartesian coordinates. The results demonstrate that the characteristic of the Unscented Kalman filtering is superior to the Extended Kalman filter.
Fang Jiancheng
Zhang Yu
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