Laser & Optoelectronics Progress, Volume. 58, Issue 17, 1706008(2021)

Indoor Visible Light Fingerprint Positioning Scheme Based on Convolution Neural Network

Hao Xu, Xudong Wang*, and Nan Wu
Author Affiliations
  • Information Science Technology College, Dalian Maritime University, Dalian , Liaoning 116026, China
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    References(18)

    [8] Dong W J. High precision indoor visible light localization algorithm[D], 8-13(2019).

    [9] Wang X D, Wu N, Hu Q Q. Indoor visible light positioning based on multiple illuminated areas cooperation[J]. Journal of Optoelectronics·Laser, 28, 388-395(2017).

    [12] Xu S W, Wu Y, Wang X F. Visible light positioning algorithm based on sparsity adaptive and location fingerprinting[J]. Acta Optica Sinica, 40, 1806003(2020).

    [13] Xu S W, Wu Y, Su G D. Fingerprint matching and localization algorithm based on orthogonal frequency division multiplexing modulation for visible light communication[J]. Laser & Optoelectronics Progress, 56, 090601(2019).

    [15] Dong W J, Wang X D, Wu N. A hybrid RSS/AOA algorithm for indoor visible light positioning[J]. Laser & Optoelectronics Progress, 55, 050603(2018).

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    Hao Xu, Xudong Wang, Nan Wu. Indoor Visible Light Fingerprint Positioning Scheme Based on Convolution Neural Network[J]. Laser & Optoelectronics Progress, 2021, 58(17): 1706008

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Nov. 18, 2020

    Accepted: Dec. 14, 2020

    Published Online: Sep. 14, 2021

    The Author Email: Xudong Wang (wxd@dlmu.edu.cn)

    DOI:10.3788/LOP202158.1706008

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