室内阵列可见光通信多用户信噪比优化算法  

Signal-to-noise ratio optimization algorithm for multi-user indoor array visiblelight communication

作　　者：任嘉伟[1] 汪涛[1] 王超[1] 李盾 张光伟[1] REN Jiawei;WANG Tao;WANG Chao;LI Dun;ZHANG Guangwei(Information System Engineering College,PLA Strategic Support Information Engineering University,Zhengzhou 450000,China)

机构地区：[1]解放军战略支援部队信息工程大学信息系统工程学院,郑州450000

出　　处：《光通信技术》2020年第9期18-22,共5页Optical Communication Technology

摘　　要：针对室内可见光多灯阵列多用户通信信噪比优化问题,提出基于遗传算法的阵列通信灯选择优化算法。通过量化分析每个发光二极管(LED)灯信号发射路径延迟特性作为基因对信噪比的贡献度量值,以该度量值作为基因交叉和变异时的依据,采用最大信噪比贡献保留和最小信噪比贡献消除方法来改进一般遗传算法的交叉和变异过程。仿真结果表明:相比一般遗传算法,该优化算法收敛速度更快,获得的信噪比更高。Aiming at the optimization of signal-to-noise ratio of indoor visible light multi-user communication,an optimization algorithm based on genetic algorithm is proposed.By quantificationally analyzing the delay characteristics of each light emitting diode(LED)lamp signal emission path as the measurement value of gene contribution to signal-to-noise ratio,the maximum signal-to-noise ratio contribution retention and minimum signal-to-noise ratio contribution elimination methods are used to improve the crossover and mutation process of genetic algorithm.The simulation results reveal that for the LED selection problem,the proposed method converges faster and obtains better signal-to-noise ratio than the general evolutionary algorithm.

关 键 词：可见光通信 遗传算法 室内通信 基因交叉 基因变异 

分 类 号：TN256[电子电信—物理电子学]