中国激光, 2018, 45(5): 0506003, 网络出版: 2019-05-08
Optimization Algorithm of Receiver Optical Power Uniformity in Indoor Visible Light Communication
1重庆邮电大学工业物联网与网络化控制教育部重点实验室, 重庆 400065
2重庆邮电大学光纤通信技术重点实验室, 重庆 400065
光通信 可见光通信 自适应遗传算法 半功率角 阵列间距离 接收光功率 optical communications visible light communication adaptive genetic algorithm half-power angle distance between arrays received optical power
针对室内可见光通信接收光功率分布不均匀造成通信性能不均衡的问题,提出一种LED阵列独立均匀分布布局,并运用改进自适应遗传算法优化LED阵列间距离和LED半功率角。优化遗传算法中的选择算子,并重新设计算法中的交叉和变异操作,采用改进自适应遗传算法优化影响系统性能的LED半功率角和LED阵列间距离。仿真结果表明:接收平面的接收功率方差从未优化前的3.02 dBm降低到1.16 dBm,照明强度范围从优化前的374~862 lx改善至417~765 lx。相比现有的接收光功率的优化方法,该算法的性能与收敛速度均得到改善。
To slove the problem of unbalanced communication performance due to uneven distribution of received optical power in indoor visible light communication, we propose an independent uniform distribution of LED arrays and an improved adaptive genetic algorithm, which is used to optimize the distance between LED arrays and LED half-power angle.The selection operator in genetic algorithm is improved, and the crossover and mutation operations in the algorithm are redesigned. The improved adaptive genetic algorithm is used to optimize the LED half-power angle and the distance between LED arrays.The simulation results show that the received power variance of the receiving plane is reduced from 3.02 dBm to 1.16 dBm and the range of illumination intensity is improved from 374~862 lx to 417~765 lx. Compared with the existing methods of optimizing received optical power, the performance and convergence speed of the algorithm are improved.