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A Novel Pulsar Navigation Method Based on an Asynchronous Observation Model

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Cognitive Systems and Signal Processing (ICCSIP 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 710))

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Abstract

Pulsar navigation has been a potential navigation method for high-orbit satellites or deep space exploration. One of the main problems is that the update rate of measurements are too slow that results in the low navigation accuracy. To solve this problem, an asynchronous model together with a corresponding Kalman filter is proposed. The simulations show that the proposed model has better performance than that of the synchronous model which is widely used in lots of previous literatures.

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Author information

Authors and Affiliations

  1. State Key Laboratory for Strength and Vibration, School of Aerospace, Xi’an Jiaotong University, Xi’an, 710049, People’s Republic of China

    Pengbin Guo, Jian Sun, Shuling Hu & Ju Xue

Authors
  1. Pengbin Guo
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  2. Jian Sun
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  3. Shuling Hu
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  4. Ju Xue
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Corresponding author

Correspondence to Jian Sun .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Fuchun Sun

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Huaping Liu

  3. College of Mechatronics and Automation, National University of Defense Technology, Changsha, China

    Dewen Hu

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© 2017 Springer Nature Singapore Pte Ltd.

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Guo, P., Sun, J., Hu, S., Xue, J. (2017). A Novel Pulsar Navigation Method Based on an Asynchronous Observation Model. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2016. Communications in Computer and Information Science, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-5230-9_1

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  • DOI: https://doi.org/10.1007/978-981-10-5230-9_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5229-3

  • Online ISBN: 978-981-10-5230-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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