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The Satellite Selection Algorithm of GNSS Based on Neural Network

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China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume I

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 388))

Abstract

With the development of Global Navigation Satellite System (GNSS), there is an increase in the number of visible satellite in navigation and positioning. Calculating all visible satellite not only makes the hardware design of the receiver harder, but also can’t guarantee to improve the accuracy of the positioning results, so it is significant to take a certain satellite selection algorithm to the visible satellites optimization. The traditional optimal satellite selection algorithm is complicated, and it also influences the real-time performance of the navigation and positioning. The subsequent improved satellite selection algorithm has effectively enhanced in robustness, accuracy and real-time. The satellite selection algorithm by using Generalized Regression Neural Network (GRNN) to predict GDOP is proposed. The simulation results showed that the algorithm has improved in robustness, accuracy and real-time, and it has certain exploring value for the GNSS satellite selection algorithm with machine learning.

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References

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Acknowledgements

This work was supported by National Science Foundation of China (Grant Nos. 41202245, 41272373). The authors would like to thank Liu Yao of Xiangtan University, Shi Yifang of Twente University for their valuable suggestions.

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Authors and Affiliations

  1. Schools of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, Henan, China

    Jinben Wei, Anmin Ding, Kezhao Li, Leijie Zhao, Yunkai Wang & Zhiwei Li

Authors
  1. Jinben Wei
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  2. Anmin Ding
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  3. Kezhao Li
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  4. Leijie Zhao
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  5. Yunkai Wang
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  6. Zhiwei Li
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Corresponding author

Correspondence to Jinben Wei .

Editor information

Editors and Affiliations

  1. China Aerospace Sci. & Technology Corp., Chinese Academy of Sciences, Beijing, China

    Jiadong Sun

  2. Wuhan University, Wuhan, China

    Jingnan Liu

  3. China Satellite Navigation Office, Beijing, China

    Shiwei Fan

  4. National Uni. of Defense Tech., Changsha, China

    Feixue Wang

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© 2016 Springer Science+Business Media Singapore

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Wei, J., Ding, A., Li, K., Zhao, L., Wang, Y., Li, Z. (2016). The Satellite Selection Algorithm of GNSS Based on Neural Network. In: Sun, J., Liu, J., Fan, S., Wang, F. (eds) China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume I. Lecture Notes in Electrical Engineering, vol 388. Springer, Singapore. https://doi.org/10.1007/978-981-10-0934-1_11

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  • DOI: https://doi.org/10.1007/978-981-10-0934-1_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0933-4

  • Online ISBN: 978-981-10-0934-1

  • eBook Packages: EngineeringEngineering (R0)

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