期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Multiparameter performance monitoring of pulse amplitude modulation channels using convolutional neural networks
1
作者 Si-Ao Li Yuanpeng Liu +7 位作者 Yiwen Zhang Wenqian Zhao tongying shi Xiao Han Ivan B.Djordjevic Changjing Bao Zhongqi Pan Yang Yue 《Advanced Photonics Nexus》 2024年第2期75-89,共15页
A designed visual geometry group(VGG)-based convolutional neural network(CNN)model with small computational cost and high accuracy is utilized to monitor pulse amplitude modulation-based intensity modulation and direc... A designed visual geometry group(VGG)-based convolutional neural network(CNN)model with small computational cost and high accuracy is utilized to monitor pulse amplitude modulation-based intensity modulation and direct detection channel performance using eye diagram measurements.Experimental results show that the proposed technique can achieve a high accuracy in jointly monitoring modulation format,probabilistic shaping,roll-off factor,baud rate,optical signal-to-noise ratio,and chromatic dispersion.The designed VGG-based CNN model outperforms the other four traditional machine-learning methods in different scenarios.Furthermore,the multitask learning model combined with MobileNet CNN is designed to improve the flexibility of the network.Compared with the designed VGG-based CNN,the MobileNet-based MTL does not need to train all the classes,and it can simultaneously monitor single parameter or multiple parameters without sacrificing accuracy,indicating great potential in various monitoring scenarios. 展开更多
关键词 pulse amplitude modulation optical performance monitoring intensity modulation optical fiber communication neural network applications
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部