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author:

Lin, B. (Lin, B..) [1] | Yu, H. (Yu, H..) [2] | Chao, J. (Chao, J..) [3] | Luo, J. (Luo, J..) [4] | Yang, J. (Yang, J..) [5] | Huang, Y. (Huang, Y..) [6] | Yan, S. (Yan, S..) [7] | Ghassemlooy, Z. (Ghassemlooy, Z..) [8]

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Scopus

Abstract:

Visible light positioning (VLP) is one of the effective solutions for low-cost and high-precision indoor positioning due to its advantages of low cost, high energy-efficiency, and immunity from radio frequency induced electromagnetic interference. However, severe performance limitations in occluded environments present a major challenge for the development of VLP. We propose a none-line-of-sight (NLOS) VLP system based on a multi-pixel photon counter (MPPC) to solve the problem of obstructed line-of-sight (LOS) paths. MPPC consists of multiple avalanche photodiodes operating in Geiger mode, which has very high sensitivity, excellent photon counting capability and can perform detection of very weak light at photon counting levels. It can effectively improve the recognition and detection of signals in NLOS environments. Using the NLOS channel model, we innovatively propose a NLOS-MPPC-VLP positioning theory, which utilizes the NLOS optical signals received by the MPPC to construct the relationship between the received signal strength and the distance from the MPPC to the virtual images of the light emitting diode (LED). Through this theory, the trilateration algorithm is used to calculate the position of the receiver. The experimental results show that the average positioning errors for the proposed system are 8.77 and 10.15 cm for 70 and 100 cm MPPC heights, respectively. IEEE

Keyword:

Cameras Costs Internet of Things Light emitting diodes Multi-Pixel Photon Counter (MPPC) Nonlinear optics Non-line-of-sight (NLOS) Optical imaging Photonics Visible Light Positioning (VLP)

Community:

  • [ 1 ] [Lin B.]School of Advanced Manufacturing, Fuzhou University, Quanzhou, China
  • [ 2 ] [Yu H.]School of Advanced Manufacturing, Fuzhou University, Quanzhou, China
  • [ 3 ] [Chao J.]School of Advanced Manufacturing, Fuzhou University, Quanzhou, China
  • [ 4 ] [Yang J.]School of Advanced Manufacturing, Fuzhou University, Quanzhou, China
  • [ 5 ] [Huang Y.]School of Advanced Manufacturing, Fuzhou University, Quanzhou, China
  • [ 6 ] [Yan S.]School of Advanced Manufacturing, Fuzhou University, Quanzhou, China
  • [ 7 ] [Ghassemlooy Z.]Faculty of Engineering and Environment, Optical Communications Research Group, NCRLab, Northumbria University, Newcastle Upon Tyne, U.K

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Source :

IEEE Internet of Things Journal

ISSN: 2327-4662

Year: 2024

Issue: 19

Volume: 11

Page: 1-1

8 . 2 0 0

JCR@2023

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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