Joint Osnr, Skew, Rof Monitoring Of Coherent Channel Using Eye Diagram Measurement And Deep Learning

2019 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO)(2019)

引用 3|浏览49
暂无评分
摘要
CNN-based deep learning is used to monitor coherent channel performance with eye diagram measurement. For 32GBd-QPSK signals, 99.57% prediction accuracy is achieved for 15 to 40dB OSNR, -15 to 15ps skew, 0.02 to 1 ROF. (C) 2019 The Author(s)
更多
查看译文
关键词
joint OSNR,ROF monitoring,eye diagram measurement,CNN-based deep learning,coherent channel performance,32GBd-QPSK signals
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要