太赫兹科学与电子信息学报2026，Vol.24Issue(8)：919-925,7.DOI:10.11805/TKYDA2025258
基于1D-CNN均衡的全电子300 GHz太赫兹50 m无线通信系统传输
1D-CNN based equalization for all-electronic 300 GHz terahertz 50 m wireless transmission system
摘要
Abstract
The terahertz(THz)band(0.1~10 THz)has become a key technology direction for future wireless communications due to its large bandwidth and high-speed transmission characteristics.In this paper,a 300 GHz terahertz wireless communication system is designed and implemented based on an all-electronics scheme.Compared with photonics-aided approaches,this system offers advantages of simple structure and low complexity.Through the construction of an experimental platform,wireless transmission tests over 50 m are completed.Residual blocks are incorporated into the One-Dimension Convolutional Neural Network(1D-CNN)in the experiments,which can effectively avoid gradient vanishing and enhance signal equalization performance.The effects of transmission rate and different neural network signal recovery schemes on system performance are analyzed in detail.Meanwhile,the relationship among the number of 1D-CNN neurons,the depth of hidden layers,and transmission performance is discussed.The proposed 1D-CNN signal recovery method effectively compensates for nonlinear effects in the system,reducing the system Bit Error Rate(BER)from 4.6×10-3 to 1.4×10-3.关键词
太赫兹/全电子/机器学习/卷积神经网络/正交幅度调制Key words
terahertz/all-electronics/Machine Learning(ML)/Convolutional Neural Network(CNN)/Quadrature Amplitude Modulation(QAM)分类
信息技术与安全科学引用本文复制引用
马源,徐思聪,龙健宇,周雯,余建军..基于1D-CNN均衡的全电子300 GHz太赫兹50 m无线通信系统传输[J].太赫兹科学与电子信息学报,2026,24(8):919-925,7.基金项目
国家自然科学基金资助项目(62127802 （）
62331004 （）
62305067 （）
U24B20142 （）
U24B20168 （）
62427815) （）
