Chinese Journal of Lasers, Volume. 48, Issue 3, 0306003(2021)

Indoor 3D Visible Light Positioning Algorithm Based on Fingerprint Reconstruction and Sparse Training Nodes

Kaihua Liu, Shudan Yan*, and Xiaolin Gong*
Author Affiliations
  • School of Microelectronics, Tianjin University, Tianjin 300072, China
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    References(21)

    [3] Swook H, Kim J H, Jung S Y et al. White LED ceiling lights positioning systems for optical wireless indoor applications[C]∥ 36th European Conference and Exhibition on Optical Communication, September 19-23, 2010, Torino, Italy., 11636889(2010).

    [6] Yang J, Lee H, Moessner K. Multilateration localization based on singular value decomposition for 3D indoor positioning[C]∥2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), October 4-7, 2016, Alc, 1-8(2016).

    [14] Xu S W, Wu Y, Wang X F. Visible light positioning algorithm based on sparsity adaptive and location fingerprinting[J]. Acta Optica Sinica, 40, 38-46(2020).

    [17] Komine T, Nakagawa M. Fundamental analysis for visible-light communication system using LED lights[J]. IEEE Transactions on Consumer Electronics, 50, 100-107(2004).

    [19] Huang G B, Zhou H M, Ding X J et al. Extreme learning machine for regression and multiclass classification[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 42, 513-529(2012).

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    Kaihua Liu, Shudan Yan, Xiaolin Gong. Indoor 3D Visible Light Positioning Algorithm Based on Fingerprint Reconstruction and Sparse Training Nodes[J]. Chinese Journal of Lasers, 2021, 48(3): 0306003

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    Paper Information

    Category: fiber optics and optical communications

    Received: Aug. 14, 2020

    Accepted: Sep. 7, 2020

    Published Online: Feb. 2, 2021

    The Author Email: Yan Shudan (2018232071@tju.edu.cn), Gong Xiaolin (2018232071@tju.edu.cn)

    DOI:10.3788/CJL202148.0306003

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