Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1428001(2024)

Visible Light Positioning System Based on SRU Neural Network in Coal Mine Underground

Gui Ru, Ling Qin*, Fengying Wang, Xiaoli Hu, and Yanhong Xu
Author Affiliations
  • School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, Inner Mongolia , China
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    References(21)

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    [9] Zhao L, Liu H T, Chen J B. Indoor visible light location method based on neural network optimized by beetle antennae search algorithm[J]. Optical Communication Technology, 46, 1-7(2022).

    [15] Qu J, Wang X D, Wu N et al. Indoor visible light fingerprint positioning method based on random forest algorithm[J]. Optical Communication Technology, 47, 1-7(2023).

    [18] Zhao L, Ren Y, Wang Q et al. Visible light indoor positioning system based on Pisarenko harmonic decomposition and neural network[J]. Chinese Journal of Electronics, 32, 1-9(2022).

    [20] Wang Z S, Shao J H, Wang P Y et al. An improved indoor visible light fingerprint location algorithm based on GACNN[J]. Laser Journal, 44, 158-163(2023).

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    Gui Ru, Ling Qin, Fengying Wang, Xiaoli Hu, Yanhong Xu. Visible Light Positioning System Based on SRU Neural Network in Coal Mine Underground[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1428001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Sep. 4, 2023

    Accepted: Nov. 20, 2023

    Published Online: Jul. 8, 2024

    The Author Email: Ling Qin (qinling1979@imust.edu.cn)

    DOI:10.3788/LOP232033

    CSTR:32186.14.LOP232033

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