Stereo Vision-Based Relative Navigation Algorithm for Satellites Formation Flying
International Journal of Astrophysics and Space Science
Volume 2, Issue 1, February 2014, Pages: 1-5
Received: Nov. 25, 2013; Published: Jan. 10, 2014
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Xiaokui Yue, National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi'an, P. R. China
Haifeng Su, National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi'an, P. R. China; Institute of Flight Mechanics and Control, Universität Stuttgart, Germany
Jianping Yuan, National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi'an, P. R. China
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Space mission with multiple spacecraft formation is an important means to space operation. A new relative navigation algorithm based on stereo vision is developed aiming at high navigation precision requirement of spacecraft formation flying. It uses stereo vision camera attached on the tracking craft as measurement sensor, gets the relative location of target craft in the tracking craft body reference frame with imaging parallax. Relative motion equation is built in inertial frame, and discretized as the state equation of the system. Measurement information of stereo vision is used as measurement value, and the two-step filter relative navigation algorithm based on Kalman filter is designed to estimate relative navigation state in real time, and finally validated by simulation. The simulation results prove this algorithm can meet the relative navigation precision requirements of formation flying.
Formation Flying, Stereo Vision, Relative Navigation, Two-Step Filter
To cite this article
Xiaokui Yue, Haifeng Su, Jianping Yuan, Stereo Vision-Based Relative Navigation Algorithm for Satellites Formation Flying, International Journal of Astrophysics and Space Science. Vol. 2, No. 1, 2014, pp. 1-5. doi: 10.11648/j.ijass.20140201.11
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