NDLI: Autonomous navigation algorithm based on star sensor and horizon sensor

Content Provider	IEEE Xplore Digital Library
Author	Wang Peng Zhang Yingchun
Copyright Year	2008
Description	Author affiliation: Res. Center of satellite Technol., Harbin Inst. of Technol., Harbin (Wang Peng; Zhang Yingchun)
Abstract	Directly sensing horizon is simply and reliable based on the horizon sensor. The navigation precision is lower depended on horizon sensor mainly. In this paper autonomous navigation algorithm by using measurement information of star sensor and horizon sensor is presented. The high precision satellite motion model is presented firstly. On the one hand the measure information of star sensor and horizon sensor are used to determinate orbit parameters. On the other hand the measure information of horizon sensor is used to determinate orbit parameters. The paper present a new information fusion method of autonomous navigation algorithm by using both of the two methods based on EFK federal Kalman filter. The observation equation of two models is educed in detail. The results of computer simulation show that the proposed system can improve the navigation precision, robustness and reliability.
Starting Page	275
Ending Page	279
File Size	333151
Page Count	5
File Format	PDF
ISBN	9787900719706
DOI	10.1109/CHICC.2008.4605293
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute Of Intelligence M&C Technical Of KMUST
Subject Keyword	Star sensor Federal kalman filter Horizon sensor Navigation Autonomous navigation Satellite navigation systems Extraterrestrial measurements Orbits Mathematical model Kalman filters Equations
Content Type	Text
Resource Type	Article

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