International Journal of Astrophysics and Space Science

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Stereo Vision-Based Relative Navigation Algorithm for Satellites Formation Flying

Received: 25 November 2013    Accepted:     Published: 10 January 2014
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Abstract

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.

DOI 10.11648/j.ijass.20140201.11
Published in International Journal of Astrophysics and Space Science (Volume 2, Issue 1, February 2014)
Page(s) 1-5
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Formation Flying, Stereo Vision, Relative Navigation, Two-Step Filter

References
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Author Information
  • National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi'an, P. R. China

  • National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi'an, P. R. China; Institute of Flight Mechanics and Control, Universit?t Stuttgart, Germany

  • National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi'an, P. R. China

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  • APA Style

    Xiaokui Yue, Haifeng Su, Jianping Yuan. (2014). Stereo Vision-Based Relative Navigation Algorithm for Satellites Formation Flying. International Journal of Astrophysics and Space Science, 2(1), 1-5. https://doi.org/10.11648/j.ijass.20140201.11

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    ACS Style

    Xiaokui Yue; Haifeng Su; Jianping Yuan. Stereo Vision-Based Relative Navigation Algorithm for Satellites Formation Flying. Int. J. Astrophys. Space Sci. 2014, 2(1), 1-5. doi: 10.11648/j.ijass.20140201.11

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    AMA Style

    Xiaokui Yue, Haifeng Su, Jianping Yuan. Stereo Vision-Based Relative Navigation Algorithm for Satellites Formation Flying. Int J Astrophys Space Sci. 2014;2(1):1-5. doi: 10.11648/j.ijass.20140201.11

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  • @article{10.11648/j.ijass.20140201.11,
      author = {Xiaokui Yue and Haifeng Su and Jianping Yuan},
      title = {Stereo Vision-Based Relative Navigation Algorithm for Satellites Formation Flying},
      journal = {International Journal of Astrophysics and Space Science},
      volume = {2},
      number = {1},
      pages = {1-5},
      doi = {10.11648/j.ijass.20140201.11},
      url = {https://doi.org/10.11648/j.ijass.20140201.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijass.20140201.11},
      abstract = {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.},
     year = {2014}
    }
    

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    T1  - Stereo Vision-Based Relative Navigation Algorithm for Satellites Formation Flying
    AU  - Xiaokui Yue
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    AU  - Jianping Yuan
    Y1  - 2014/01/10
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    JF  - International Journal of Astrophysics and Space Science
    JO  - International Journal of Astrophysics and Space Science
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ijass.20140201.11
    AB  - 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.
    VL  - 2
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