光通信技术2025，Vol.49Issue(1)：38-43,6.DOI:10.13921/j.cnki.issn1002-5561.2025.01.007
6G短距离可见光通信信道估计与均衡
Channel estimation and equalization of short distance visible light communication in 6G
摘要
Abstract
To improve the transmission rate and communication quality of indoor visible light communication(VLC),a VLC channel estimation and equalization method based on orthogonal time-frequency space(OTFS)modulation and residual convolu-tional neural network(ResCNN)is proposed.First,an indoor VLC system based on OTFS modulation is constructed,and a time-fre-quency domain channel estimation model based on training sequences is proposed.Then,ResCNN learns the mapping relationship between the least squares(LS)channel estimation and the optimized channel to solve the inter-symbol interference problem and improve the accuracy of channel estimation.Finally,the visible light channel is estimated and equalized using ResCNN.The ex-perimental results show that when the signal transmission distance is 1 m and the transmission rate is 512 Mb/s to 1.5 Gb/s,the bit error rate estimated by the proposed method is lower than 3.8x103,effectively improving the transmission rate and communication quality of indoor short-distance VLC.关键词
可见光通信/短距离通信/信道估计/信道均衡化/深度学习Key words
visible light communication/short distance communication/channel estimation/channel equalization/deep learning分类
电子信息工程引用本文复制引用
姜彬,周鹏..6G短距离可见光通信信道估计与均衡[J].光通信技术,2025,49(1):38-43,6.基金项目
江苏省第五期333工程科研项目(BRA2018220)资助 （BRA2018220）
南通市自然科学基金项目(JCZ2023029)资助. （JCZ2023029）
