Journal of Applied Optics, Volume. 43, Issue 3, 453(2022)

K-means+SSA-Elman network visible light indoor location awareness algorithm

Baoyu LI1,*... Feng ZHANG1, Xia PENG2 and Yenan LIU1 |Show fewer author(s)
Author Affiliations
  • 1School of Electronic Information Engineering, Xi'an Technological University, Xi'an 710065, China
  • 2Xi'an Institute of Applied Optics, Xi'an 710065, China
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    References(4)

    [2] Yunfei CHEN, Taihang DU, Chundong JIANG, et al. Indoor location method of interference source based on deep learning of spectrum fingerprint features in Smart Cyber-Physical systems. EURASIP Journal on Wireless Communications and Networking, 2019, 8-12(2019).

    [3] J C TORRES, A MONTES, S L MENDOZA, et al. A low-cost visible light positioning system for indoor positioning. Sensors, 20, 1(2020).

    [7] Yuhui WU, Jingbo LIU, Jiaan ZHANG, et al. Short-term forecast of photovoltaic power generation output based on improved PSO-Elman neural network. IOP Conference Series:Earth and Environmental Science, 675, 3-7(2021).

    [13] [13] XUE Jiankai. Research application of a new swarm intelligence optimization technology[D]. Shanghai: Donghua University, 2020.

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    Baoyu LI, Feng ZHANG, Xia PENG, Yenan LIU. K-means+SSA-Elman network visible light indoor location awareness algorithm[J]. Journal of Applied Optics, 2022, 43(3): 453

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    Paper Information

    Category: OE INFORMATION ACQUISITION AND PROCESSING

    Received: Dec. 22, 2021

    Accepted: --

    Published Online: Jun. 7, 2022

    The Author Email: LI Baoyu (lby5422698@163.com)

    DOI:10.5768/JAO202243.0302005

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