Optical Communication Technology, Volume. 48, Issue 2, 36(2024)

Indoor visible light positioning method based on Bi-LSTM neural network

WANG Lele... QIN Ling, HU Xiaoli and ZHAO Desheng |Show fewer author(s)
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    References(4)

    [4] [4] HAN W, WANG J, PKLUH M K, et al. Visible light indoor positioning via an iterative algorithm based on an M5 model tree [J]. Applied Optics 2020, 59(32): 10194-10200.

    [5] [5] HASAN A B K, TYREL G, YAN T H. Accurate visible light positioning using multiple-photodiode receiver and machine leaming [J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-12.

    [15] [15] MIRJALILI S, MIRJALILI S M, LEWIS A. Grey wolf optimizer[J].Advances in Engineering Software, 2014, 69(3): 46-61.

    [19] [19] SH O H, KIM J G. AI-based positioning with input parameter optimization in indoor VLC environments [J]. Sensors, 2022, 22 (21): 8125-8138

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    WANG Lele, QIN Ling, HU Xiaoli, ZHAO Desheng. Indoor visible light positioning method based on Bi-LSTM neural network[J]. Optical Communication Technology, 2024, 48(2): 36

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    Paper Information

    Received: Mar. 11, 2023

    Accepted: --

    Published Online: Aug. 1, 2024

    The Author Email:

    DOI:10.13921/j.cnki.issn1002-5561.2024.02.007

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