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International Conference in Communications, Signal Processing, and Systems

CSPS 2017: Communications, Signal Processing, and Systems pp 2711–2720Cite as

A Modified Particle Filter for Cooperative Positioning

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

This paper proposes a modified hybrid cooperative particle filter (MHC-PF) for cooperative positioning in Global Positioning System (GPS)-challenged scenarios, utilizing information from both satellites and terrestrial neighboring GPS receivers. In GPS-challenged scenarios, determination of receivers’ positions is still a challenging task due to radio blockage. In this situation, cooperative positioning can be utilized to improve the ability to estimate position. The proposed MHC-PF involves introducing a modified factor to the likelihood function, and then selecting a value of the modified factor that results in a minimum estimation error through Monte-Carlo strategy in a pre-processing stage. The proposed method is verified by a realistic indoor scenario to demonstrate the accuracy and availability. Simulation results indicate that the proposed MHC-PF provides approximately 2-m horizontal position root mean squared error (RMSE) and significant improvements over the existing method.

This work is supported by National Natural Science Foundation of China (61601511). Specially, we would like to thank the anonymous reviewers for their constructive comments.

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References

  1. Kaplan, L.: Global node selection for localization in a distributed sensor network. IEEE Trans. Aerosp. Electron. Syst. 42(1), 113–135 (2006)

    Google Scholar 

  2. Quebe, S., Campbell, J., DeVilbis, S., et al.: Cooperative GPS Navigation. In: IEEE/ION PLANS, pp. 834–837 (2010)

    Google Scholar 

  3. Penna, F., Caceres, M.A., Wymeersch, H.: Cramer-Rao bound for hybrid GNSS-terrestrial cooperative positioning. IEEE Commun. Lett. 14(11), 1005–1007 (2010)

    Google Scholar 

  4. Caceres, M.A., Sottile, F., Garello, R., et al.: Hybrid GNSS-ToA localization and tracking via cooperative unscented Kalman filter. In: Proceedings of the IEEE PIMRC 2010, Istanbul, Turkey, pp. 271–275, September 2010

    Google Scholar 

  5. Caceres, M.A., Penna, F., Wymeersch, H., et al.: Hybrid GNSS-terrestrial cooperative positioning via distributed belief propagation. In: Proceedings of the IEEE GLOBECOM Miami, Florida, pp. 1–5, December 2010

    Google Scholar 

  6. Caceres, M.A., Penna, F., Wymeersch, H., et al.: Hybrid cooperative positioning based on distributed belief propagation. IEEE J. Sel. Areas Commun. 29(10), 1948–1958 (2011)

    Google Scholar 

  7. Sottile, F., Wymeersch, H., Caceres, M.A., et al.: Hybrid GNSS-terrestrial cooperative positioning based on particle Filter. In: Proceedings of the IEEE GLOBECOM, Houston, Texas, pp. 1–5, December 2011

    Google Scholar 

  8. Arulampalam, S., Maskell, S., Gordon, N., et al.: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. Signal Process. 50(2), 174–188 (2002)

    Google Scholar 

  9. Candy, J.V.: Bootstrap particle filtering. IEEE Signal Process. Mag. 24(4), 73–85 (2007)

    Google Scholar 

  10. Cappe, O., Godsill, S.J., Moulines, E.: An overview of existing methods and recent advances in sequential Monte Carlo. IEEE Proc. 95(5), 899–924 (2007)

    Google Scholar 

  11. Gustafsson, F., Gunnarsson, F., Bergman, N., Forssell, U., Jansson, J., Karlsson, R., Nordlund, P.: Particle filters for positioning, navigation and tracking. IEEE Trans. Signal Process. 50(2), 425–437 (2002)

    Google Scholar 

  12. Gustafsson, F.: Particle filter theory and practice with positioning applications. IEEE Aerosp. Electron. Syst. Mag. 25(7), 53–82 (2010)

    Google Scholar 

  13. Qi, C., Pascal, B.: An efficient two-stage sampling method in particle filter. IEEE Trans. Aerosp. Electron. Syst. 48(3), 2666–2672 (2012)

    Google Scholar 

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Author information

Authors and Affiliations

  1. College of Communications Engineering, PLA University of Science and Technology, Nanjing, 210007, China

    Shiwei Tian, Guangxia Li, Zhi Xiong, Weiheng Dai & Rong Xu

  2. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Shiwei Tian, Guangxia Li, Zhi Xiong, Weiheng Dai & Rong Xu

Authors
  1. Shiwei Tian
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  2. Guangxia Li
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  3. Zhi Xiong
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  4. Weiheng Dai
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  5. Rong Xu
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Corresponding author

Correspondence to Guangxia Li .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2019 Springer Nature Singapore Pte Ltd.

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Tian, S., Li, G., Xiong, Z., Dai, W., Xu, R. (2019). A Modified Particle Filter for Cooperative Positioning. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_328

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_328

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

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