1. Multi-Source Information Fusion Based on Kalman Filtering
- Author
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G.M. Gao, Meng Meng Zhou, and Hong Bo Yang
- Subjects
Engineering ,Fusion ,business.industry ,General Medicine ,Kalman filter ,Sensor fusion ,Information fusion ,Attitude determination ,Satellite ,Fast Kalman filter ,Computer vision ,Artificial intelligence ,business ,Multi-source - Abstract
Thehigh-frequency angular micro-vibration on satellite platform results in theoptical axis pointing decreasing accuracy. The Kalman filtering based on attitudeinformation fusion method is presented to solve this case and improve the pointing accuracy of attitude determination. Thesimulation results indicate that the estimated accuracy of Kalman filteringattitude information fusion method is better than the result only fromconventional low frequency sensor. Accordingly, the attitude information fusionmethod is verified and accuracy.
- Published
- 2015
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