可见光信号传输的非线性失真补偿方法  

Nonlinear distortion compensation method of visible light signal transmission

作　　者：曹仰之 李斌 CAO Yangzhi;LI Bin(Modern Industrial Innovation Practice Center,Dongguan Polytechnic,Dongguan 523000,China;Electronic Information School,Dongguan Polytechnic,Dongguan 523000,China)

机构地区：[1]东莞职业技术学院现代工业创新实践中心,广东东莞523000 [2]东莞职业技术学院电子信息学院,广东东莞523000

出　　处：《光学技术》2024年第5期587-593,共7页Optical Technique

基　　金：广东省普通高校特色创新项目(2020KTSCX320);东莞职业技术学院国家双高计划电子信息工程技术专业群专项经费资助项目(ZXD202301);东莞职业技术学院国家双高计划科研骨干项目(ZXC202202)。

摘　　要：针对可见光通信系统在高速传输中的非线性失真问题,提出一种基于深度学习的可见光通信系统高速传输的非线性失真补偿方法。首先,通过滑动窗口提取高速帧中目标符号前后相邻的若干个符号,构建包含目标符号的上下文符号序列;然后,采用一维卷积神经网络提取上下文序列的空间特征,使用双向长短期记忆网络提取上下文序列的前后时序依赖关系。实验结果表面,所提方法对可见光信号的失真进行了补偿,降低了可见光通信系统的高速传输误码率。To address the problem of nonlinear distortion of high-speed transmission in the visible light communication system,a deep learning based nonlinear distortion compensation method of high-speed transmission in the visible light communication system is proposed.Firstly,a few forward and backward neighbor symbols of the target symbol in the high-speed frames are extracted by a sliding window,which construct a context symbol sequence including the target symbol.Then,the one-dimensional convolutional neural network is used to extract the space feature of the context sequence,and the bi-directional long short term memory network is used to extract the forward and backward temporal dependency.Experimental results show that,the proposed method compensates the distortion of the visible light signals,and it reduces the bit error rate of high-speed transmission in the visible light communication system.

关 键 词：可见光通信系统 光学技术 无线通信 室内通信 高阶失真 非线性补偿 

分 类 号：TP394.1[自动化与计算机技术—计算机应用技术] TH691.9[自动化与计算机技术—计算机科学与技术]