Optical Technique, Volume. 51, Issue 1, 108(2025)

Indoor visible light positioning method based on self-attention neural network

MA Rui*
Author Affiliations
  • School of Art and Design, Zhengzhou University of Industrial Technology, Zhengzhou 451150, China
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    References(4)

    [2] [2] Mohammed M M A, He C, Cincotta S, et al. Communication aspects of Visible Light Positioning (VLP) systems using a Quadrature Angular Diversity Aperture(QADA) receiver[J].Sensors,2020,20(7):1977—1984.

    [12] [12] Zhu J, Lin M, Xing J, et al. Tilted-angle insensitive received signal strength in visible light positioning systems using a deep neural network trained by synthetic data[J].AIP Advances,2023,13(6):33—41.

    [13] [13] Su D, Wang X, Liu S, et al. Four-dimensional indoor visible light positioning: A deep-learning-based perspective[J]. J.Frankl.Inst.2023,360(1):4071—4090.

    [18] [18] Afroza U, Choudhury P K. An efficient three-dimensional indoor visible light positioning algorithm using multiple transmitters and single receiver[J].Results in Optics,2021,4(5):10—17.

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    MA Rui. Indoor visible light positioning method based on self-attention neural network[J]. Optical Technique, 2025, 51(1): 108

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    Paper Information

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    Received: Jan. 19, 2024

    Accepted: Feb. 18, 2025

    Published Online: Feb. 18, 2025

    The Author Email: Rui MA (maolijunxa@126.com)

    DOI:

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