Multi-Source Information Fusion Based on Kalman Filtering

Meng Meng Zhou; G.M. Gao; Hong Bo Yang

doi:10.4028/www.scientific.net/AMM.727-728.863

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 727-728Multi-Source Information Fusion Based on Kalman...

Multi-Source Information Fusion Based on Kalman Filtering

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.

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Periodical:

Applied Mechanics and Materials (Volumes 727-728)

Pages:

863-866

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.727-728.863

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Online since:

January 2015

Authors:

Meng Meng Zhou*, G.M. Gao, Hong Bo Yang

Keywords:

ADS, Attitude Information Fusion, Gyro, Kalman Filtering, MHD, PADS, Star Sensor

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* - Corresponding Author

References

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