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Indoor Visible Light Positioning and Tracking Method Using Kalman Filter

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

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Abstract

In order to improve the accuracy and tracking performance of the indoor positioning system based on visible light communication (VLC), an indoor positioning and tracking method is proposed in this paper. This method utilizes time difference of arrival (TDOA) solved by nonlinear least squares (NLLS) method to realize indoor positioning and uses Kalman filter to obtain the tracking capability. The performance of the proposed positioning method is evaluated in the room measuring 5 m × 5 m × 3 m. The simulation results show that the average location errors by adopting the NLLS method can reach to 2.99 cm and the accuracy of positioning can be promoted to 1.33 cm by using Kalman filter, the positioning accuracy increased by 55.52%.

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Author information

Authors and Affiliations

  1. Information Science Technology College, Dalian Maritime University, Dalian, 116026, Liaoning, China

    Xudong Wang, Wenjie Dong & Nan Wu

Authors
  1. Xudong Wang
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  2. Wenjie Dong
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  3. Nan Wu
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Corresponding author

Correspondence to Wenjie Dong .

Editor information

Editors and Affiliations

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

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  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

    Jiasong Mu

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

    Baoju Zhang

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Wang, X., Dong, W., Wu, N. (2020). Indoor Visible Light Positioning and Tracking Method Using Kalman Filter. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_141

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_141

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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