Chinese Journal of Lasers, Volume. 46, Issue 4, 0406001(2019)

Light Source Distribution for Visible Light Communication in Coal Mine Working Face Based on Position and Power Co-Optimization

Chunxia You1、*, Qingsong Hu2、*, Shidang Li1, Yong Ma1, and Hao Chen1
Author Affiliations
  • 1 School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China
  • 2 School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221008, China
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    The system model of visible light communication in coal mine working face is analyzed. Two optimization methods of LED light source distribution in coal mine working face are designed. One is be used to optimize the two-dimensional position of each LED light source on the top of working space, and the other is used to co-optimize the two-dimensional position and its power weight of each LED light source. The fireworks algorithm is adopted and the signal-to-noise ratio (SNR) factor of the receiving plane is set as the target function of the group optimization algorithm as well as the indicator for evaluating the uniformity of signals in the receiving plane. The research results show that after optimization with these two methods, the SNR factors of signals in the receiving plane are reduced by 16.6% and 24.6%, respectively, compared with that under the uniform array distribution of LED light sources with equal powers. The SNR fluctuation is significantly improved, the optical signal uniformity is also improved, and thus the same communication quality among different users is ensured.

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    Chunxia You, Qingsong Hu, Shidang Li, Yong Ma, Hao Chen. Light Source Distribution for Visible Light Communication in Coal Mine Working Face Based on Position and Power Co-Optimization[J]. Chinese Journal of Lasers, 2019, 46(4): 0406001

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    Paper Information

    Category: fiber optics and optical communications

    Received: Sep. 14, 2018

    Accepted: Jan. 14, 2019

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/CJL201946.0406001

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