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An Indoor Three Dimensional Positioning Algorithm Based on Attitude Identification and Visible Light Propagation Model

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Book cover China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume I (CSNC 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 437))

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Abstract

With the continuous development of green lighting technology, the visible light based indoor localization has attracted much attention. The visible light based indoor positioning technology leverages the light propagation model to achieve target location. Compared with the radio localization technology, the visible light based indoor positioning can achieve higher localization accuracy with no electromagnetic interference. In this paper, an indoor three dimensional positioning algorithm based on attitude identification and visible light propagation model is proposed. This algorithm can accurately identify smartphone’s attitude by integrated sensor of smartphone, distinguish different LED beacons by FFT algorithm, construct a position cost function base on visible light radiative decay model, applying a nonlinear optimizing method to acquire the optimal estimation of final location. Extensive experimental results demonstrate that the algorithm can effectively avoid the negative effects on smartphone’s attitude angle dynamically change, has better locating accuracy and robustness, obtain a sub-meter level positioning accuracy.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (61374214), the National Key Research and Development Program (2016YFB0502004), the International S&T Cooperation Program of China (2015DFG12520), and the Open Project of the Beijing Key Laboratory of Mobile Computing and Pervasive Device.

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Authors and Affiliations

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China

    Qu Wang, Haiyong Luo & Xile Gao

  2. Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Jie Wei & Fang Zhao

Authors
  1. Qu Wang
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  2. Haiyong Luo
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  3. Xile Gao
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  4. Jie Wei
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  5. Fang Zhao
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Corresponding author

Correspondence to Qu Wang .

Editor information

Editors and Affiliations

  1. China Aerospace Science and Technology Corporation, Beijing, China

    Jiadong Sun

  2. Wuhan University , Wuhan, China

    Jingnan Liu

  3. National Administration of GNSS and Applications, Beijing, China

    Yuanxi Yang

  4. China Satellite Navigation Office , Beijing, China

    Shiwei Fan

  5. Shanghai Jiao Tong University , Shanghai, China

    Wenxian Yu

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© 2017 Springer Nature Singapore Pte Ltd.

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Wang, Q., Luo, H., Gao, X., Wei, J., Zhao, F. (2017). An Indoor Three Dimensional Positioning Algorithm Based on Attitude Identification and Visible Light Propagation Model. In: Sun, J., Liu, J., Yang, Y., Fan, S., Yu, W. (eds) China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume I. CSNC 2017. Lecture Notes in Electrical Engineering, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-4588-2_32

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  • DOI: https://doi.org/10.1007/978-981-10-4588-2_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4587-5

  • Online ISBN: 978-981-10-4588-2

  • eBook Packages: EngineeringEngineering (R0)

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