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A Modified Extend Kalman Particle Filter with Application to Relative Navigation

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China Satellite Navigation Conference (CSNC) 2012 Proceedings

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 160))

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Abstract

To improve the accuracy of relative navigation for spacecraft formation flying in eccentric orbits, precise relative motion equation was used and Carrier-phase Difference GPS technology was adopted for relative information measurement. A modified version of Extended Kalman Particle Filter algorithm, called MEKPF, was used for navigation filter design. Simulation results provided later indicate the proposed navigation approach can provide an accuracy and consistent relative navigation output for spacecraft formation flying.

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Authors and Affiliations

  1. Institute of Satellite Navigation and Intra-Satellite-Link Technology, Academy of Space Electronic Information Technology, Xi’an, China

    Xiaoliang Wang, Lixin Zhang, Xiaoping Qian, Qibing Xu, Yansong Meng & Zhe Su

Authors
  1. Xiaoliang Wang
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  2. Lixin Zhang
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  3. Xiaoping Qian
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  4. Qibing Xu
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  5. Yansong Meng
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  6. Zhe Su
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Corresponding author

Correspondence to Xiaoliang Wang .

Editor information

Editors and Affiliations

  1. , China Aerospace Sci. & Technology Corp., Chinese Academy of Sciences, Beijing, China, People's Republic

    Jiadong Sun

  2. GPS Engineering Res. Center, Wuhan University, Wuhan, 430079, China, People's Republic

    Jingnan Liu

  3. China Natl. Admin. of GNSS & Application, Beijing, China, People's Republic

    Yuanxi Yang

  4. Dengzhuang South Road 9, Beijing, 100094, China, People's Republic

    Shiwei Fan

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© 2012 Springer-Verlag Berlin Heidelberg

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Wang, X., Zhang, L., Qian, X., Xu, Q., Meng, Y., Su, Z. (2012). A Modified Extend Kalman Particle Filter with Application to Relative Navigation. In: Sun, J., Liu, J., Yang, Y., Fan, S. (eds) China Satellite Navigation Conference (CSNC) 2012 Proceedings. Lecture Notes in Electrical Engineering, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29175-3_42

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  • DOI: https://doi.org/10.1007/978-3-642-29175-3_42

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29174-6

  • Online ISBN: 978-3-642-29175-3

  • eBook Packages: EngineeringEngineering (R0)

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