Paper
24 November 2021 Research on uniform illumination distribution of indoor visible light communication
Chong Wang, Jing Wang, Jinyu Zhang, Jing Wang, Huan Du, Jinghua Wang
Author Affiliations +
Proceedings Volume 12062, AOPC 2021: Optoelectronics and Nanophotonics; 120620A (2021) https://doi.org/10.1117/12.2604175
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China
Abstract
For the problem of indoor visible light communication fairness, a constrained least squares method is proposed to generate a uniform power distribution by optimizing the beam angle and power weight of the light-emitting diodes sources. The improved Fibonacci uniform allocation procedure is employed to determine the position of the sources. The initial power of the sources is constant, and the average value of the received optical power is taken as the target power matrix of the least squares method. The element range of the power distribution weight matrix is set according to the limit of the actual light source power adjustment, and the power of the light source is redistributed to improve the signal uniformity in the receiving surface. The simulation results show that the proposed method can improve the uniformity of the received power and the signal-noise ratio in the room. And the relative standard deviation (RSD) between the received and target power is less than 0.1. When the number of the light sources is constant, the semi-angle at the half power of the sources is optimized so that the RSD value is minimum.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chong Wang, Jing Wang, Jinyu Zhang, Jing Wang, Huan Du, and Jinghua Wang "Research on uniform illumination distribution of indoor visible light communication", Proc. SPIE 12062, AOPC 2021: Optoelectronics and Nanophotonics, 120620A (24 November 2021); https://doi.org/10.1117/12.2604175
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KEYWORDS
Light emitting diodes

Light sources

Visible radiation

Telecommunications

Signal to noise ratio

Evolutionary algorithms

Optimization (mathematics)

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