Optical Technique, Volume. 49, Issue 2, 184(2023)

Study on non-linear distortion suppression of visible light communication system

YANG Kai*
Author Affiliations
  • [in Chinese]
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    References(13)

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    [10] [10] Zhang G, Hong X, Fei C, et al. Sparsity-aware nonlinear equalization with greedy algorithms for LED-Based visible light communication systems[J]. Journal of Lightwave Technology,2019,37(20):5273-5281.

    [11] [11] Mitra R, Jain S, Bhatia V. Least minimum symbol error rate based Post-distortion for VLC using random fourier features[J]. IEEE Communications Letters,2020,2(19):1-9.

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    [14] [14] Haigh P A, Ghassemlooy Z, Rajbhandari S, et al. Visible light communications: 170Mb/s using an artificial neural network equalizer in a low bandwidth white light configuration[J]. Journal of Lightwave Technology,2014,32(9):1807-1813.

    [15] [15] Guan W, Wu Y, Xie C, et al. High-precision approach to localization scheme of visible light communication based on artificial neural networks and modified genetic algorithms[J]. Optical Engineering,2017,56(10):1-11.

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    [18] [18] Lu X, Zhao M, Liang Q, et al. Non-linear compensation of Multi-CAP VLC system employing Pre-distortion base on clustering of machine learning[C]∥ Optical Fiber Communication Conference. San Diego,USA:IEEE,2018:12-20.

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    YANG Kai. Study on non-linear distortion suppression of visible light communication system[J]. Optical Technique, 2023, 49(2): 184

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    Paper Information

    Category:

    Received: Sep. 8, 2022

    Accepted: --

    Published Online: Apr. 16, 2023

    The Author Email: Kai YANG (chugui_yang@126.com)

    DOI:

    CSTR:32186.14.

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