采用CNN的MIMO-OFDM可见光通信接收机  

Research on CNN-based MIMO-OFDM visible light communication receiver

作　　者：聂康宁 林邦姜[2] 骆加彬 万翔宇 潘亚东 NIE Kangning;LIN Bangjiang;LUO Jiabin;WAN Xiangyu;PAN Yadong(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou,Fujian 350108,China;Quanzhou Equipment Manufacturing Research Center,Haixi Institute,Chinese Academy of Sciences,Quanzhou,Fujian 362000,China)

机构地区：[1]福州大学电气工程与自动化学院,福建福州350108 [2]中国科学院海西研究院泉州装备制造研究中心,福建泉州362000

出　　处：《福州大学学报（自然科学版）》2024年第2期161-167,共7页Journal of Fuzhou University(Natural Science Edition)

基　　金：福建省自然科学基金资助项目(2022J01499);福建省重点技术创新及产业化资助项目(2023G006)。

摘　　要：为了克服多输入多输出(MIMO)-正交频分复用(OFDM)可见光通信(VLC)系统中存在的信号串扰、高峰均功率比、发光二极管(LED)的带宽受限和非线性效应等问题,提出一种基于卷积神经网络(CNN)的VLC接收机.该接收机通过对接收端失真信号和发射端原始信号的学习,能够实现MIMO-OFDM可见光通信系统的信号解调,有效提升系统对非线性失真的抑制能力并具有较低的复杂度.实验结果表明,与最小二乘法接收机相比,CNN接收机能有效补偿信号受到的线性和非线性失真以及不同用户间的信号串扰,平均误码率提升超过一个数量级,同时有效克服LED带宽受限问题,比特传输速率提升53%.To overcome challenges such as signal interference,high peak-to-average power ratio,limited bandwidth of light-emitting diodes(LED),and nonlinear effects in multiple-input multiple-output(MIMO)-orthogonal frequency-division multiplexing(OFDM)visible light communication(VLC)systems,a VLC receiver based on convolutional neural network(CNN)is proposed.The receiver can learn from the distorted signal at the receiver and the original signal at the transmitter to achieve signal demodulation in MIMO-OFDM visible light systems,effectively improving the system’s ability to suppress nonlinear distortion and having lower complexity.The experimental results show that compared with the least square receiver,the CNN receiver can effectively compensate for the linear and nonlinear distortions of the signal as well as the inter-user signal interference,and the average bit error rate is improved by more than an order of magnitude.At the same time,it can effectively overcome the problem of LED bandwidth limitation,and the bit transmission rate is increased by 53%compared with the least square receiver.

关 键 词：多输入多输出 正交频分复用 卷积神经网络 信号补偿 可见光通信 

分 类 号：TN256[电子电信—物理电子学]