Indoor Visible Light Positioning and Tracking Method Using Kalman Filter

  • Xudong Wang
  • Wenjie DongEmail author
  • Nan Wu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)


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%.


Indoor positioning Visible light communication Time difference of arrival Kalman filter 


  1. 1.
    Pant K, Armstrong J. Indoor localization using white LEDs. Electron Lett. 2012;48(4):228–30.CrossRefGoogle Scholar
  2. 2.
    Iturralde D, Azurdia-Meza C, Krommenacker N, et al. A new location system for an underground mining environment using visible light communications. In: International symposium on communication systems, networks and digital signal processing. IEEE, Manchester, UK; 2014. p. 1165–9.Google Scholar
  3. 3.
    Yan K, Zhou H, Xiao H, et al. Current status of indoor positioning system based on visible light. In: International conference on control, automation and systems. IEEE, Busan, South Korea; 2015. p. 565–9.Google Scholar
  4. 4.
    Dardari D, Closas P, Djuri PM. Indoor tracking: theory, methods, and technologies. IEEE Trans Veh Technol. 2015;64(4):1263–78.CrossRefGoogle Scholar
  5. 5.
    Zhang W, Chowdhury M, Kavehrad M. Asynchronous indoor positioning system based on visible light communications. Opt Eng. 2014;53(4):045105.CrossRefGoogle Scholar
  6. 6.
    Zhang W, Kavehrad M. A 2-D indoor localization system based on visible light. Seattle, USA: IEEE Photonics Society Summer Topical Meeting Series; 2012. p. 80–1.Google Scholar
  7. 7.
    Hassan NU, Naeem A, Pasha MA, et al. Indoor positioning using visible LED lights: a survey. ACM Comput Surv. 2015;48(2):20.CrossRefGoogle Scholar
  8. 8.
    Do TH, Yoo M, An in-depth survey of visible light communication based positioning Systems. Sensors. 2016;16(5):678.CrossRefGoogle Scholar
  9. 9.
    Ghassemlooy Z, Popoola W, Rajbhandari S. Optical wireless communications. Boca Raton: CRC Press, inc; 2012.Google Scholar
  10. 10.
    Eroglu YS, Guvenc I, Pala N, et al. AOA-based localization and tracking in multi-element VLC systems. In: Wireless and microwave technology conference. IEEE; 2015. p. 1–5.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Information Science Technology CollegeDalian Maritime UniversityDalianChina

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