Optical Communication Technology, Volume. 48, Issue 2, 30(2024)

RBF neural network indoor visible light positioning algorithm based on multi-source information fusion

WANG Qi... MENG Xiangyan and ZHAO Li |Show fewer author(s)
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    References(10)

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    [7] [7] DU P, ZHANG S, CHEN C, et al. Demonstration of a low-complexity indoor visible light positioning system using an enhanced TDOA scheme [J]. IEEE Photonics Journal, 2018, 10(4): 1-10.

    [8] [8] MARTN-GOROSTIZA E, GARCA-GARRIDO M A, PIZARRO D, et al. An indoor positioning approach based on fusion of cameras and infrared sensors[J]. Sensors, 2019, 19(11): 2519-2549.

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    WANG Qi, MENG Xiangyan, ZHAO Li. RBF neural network indoor visible light positioning algorithm based on multi-source information fusion[J]. Optical Communication Technology, 2024, 48(2): 30

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    Paper Information

    Received: Oct. 8, 2023

    Accepted: --

    Published Online: Aug. 1, 2024

    The Author Email:

    DOI:10.13921/j.cnki.issn1002-5561.2024.02.006

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