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基于烟花算法的可见光通信光源功率优化方法

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为了改善室内可见光通信系统接收平面光信号信噪比波动大的问题,提高可见光通信系统的整体性能,设计了基于群体优化算法——烟花算法的可见光通信系统的光源功率优化算法.该算法以无线光接收平面的信噪比因子为优化目标,优化每个LED(Light Emitting Diode)光源的发射功率,获取接收平面最优信噪比因子,有效降低光接收平面光信号波动度.结果表明,当光源数量为16个点光源时,接收平面信噪比因子比等功率的光源分布降低了45％,显著改善了接收光信号的波动幅度,从而保证不同位置点的光通信用户获得同等通信质量.该方法适用于任意数量和位置的LED光源,不受光源数量和位置的限制.对比分析发现,增加光源数量,接收平面信噪比因子更小,信噪比分布均匀性更优.
A Power Optimization Method of Light Sources Based on Fireworks Algorithm in Visible Light Communications
To solve the large fluctuation problem of signal-to-noise ratio of optical signals on the received plane in the indoor visible light communication system and improve the overall performance of the visible light communication sys-tem,a light source power optimization algorithm for the visible light communication system based on the swarm optimiza-tion algorithm—fireworks algorithm is proposed. The algorithm takes the signal-to-noise ratio factor of the wireless light-receiving plane as the optimization goal,optimizes the transmit power of each LED (Light Emitting Diode) light source,ob-tains the optimal signal-to-noise ratio factor on the receiving plane,and effectively reduces the optical signal fluctuation of the light-receiving plane. The results show that when the number of light sources is 16 point light sources,the signal-to-noise ratio factor on the receiving plane is reduced by 45％ compared with the equal power light sources,which significant-ly improves the fluctuation amplitude of the received optical signal,thereby ensuring that the optical communication users at different positions can obtain the same communication quality. This method is suitable for any number and position of LED light sources,and is not limited by the number and positions of light sources. The comparative analysis shows that the signal-to-noise ratio factor of the receiving plane is smaller and the uniformity of the signal-to-noise ratio distribution is bet-ter with the increase of the number of light sources.

visible light communicationfireworks algorithmswarm optimization algorithmpower optimization of light sourcessignal-to-noise ratio factor

游春霞、胡青松、李世党

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江苏师范大学物理与电子工程学院,江苏徐州 221116

中国矿业大学信息与控制工程学院,江苏徐州 221008

可见光通信 烟花算法 群体优化算法 光源功率优化 信噪比因子

国家自然科学基金国家自然科学基金江苏省产学研合作项目江苏师范大学校博士科研基金项目

5187429962371451BY202058018XLRS015

2024

10.12263/DZXB.20220193

电子学报
中国电子学会

电子学报

CSTPCD北大核心
影响因子：1.237
ISSN：0372-2112
年,卷(期)：2024.52(6)
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