基于深度神经网络的OSNR监测技术研究

Xiaomeng Xia, Bozhong Li, Hongbing Huang, Yize Tang, Wenjie Kong
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引用次数: 0

摘要

基于机器学习的OSNR监测在相干光通信系统中取得了一定的成果,但在强度调制和直接检测系统中还没有得到广泛的研究。本文提出了一种基于深度神经网络的强调制直接检测系统链路OSNR监测的电域信号处理方案。利用550,000个数据集,我们成功地估计了4GBaud OOK信号在8 ~ 18 dB范围内的平均绝对误差小于0.81dB的OSNR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on OSNR monitoring technology based on deep neural network
The OSNR monitoring based on machine learning has achieved some results in coherent optical communication system, but it is not widely researched in intensity-modulation and direct detection system. In this paper, an electrical domain signal processing scheme based on deep neural network is proposed for monitoring link OSNR of intensity-modulation and direct detection system. We successfully estimate the OSNR of the 4GBaud OOK signal with the mean absolute error less than 0.81dB in the range of eight to 18 dB by a five layers deep neural network using 550,000 datasets.
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