Optical performance monitoring in duobinary system using artificial neural networks trained with reconstructed eye diagram parameters

摘要：

A technique using artificial neural networks trained with parameters derived from reconstructed eye diagrams for optical performance monitoring in 40-Gbps duobinary system is demonstrated. The proposed monitoring scheme can accurately identify simultaneous impairments without requiring data clock recovery.

关键词： Optical performance monitoring eye diagram reconstruction artificial neural networks

作者: Jun-sen Lai Ai-ying Yang Lin Zuo Yu-nan Sun

作者单位: School of Optoelectronic, Beijing Institute of Technology, Beijing, China Corresponding author

会议类型: 国际会议

会议名称: 2011亚洲光纤通信与光电国际会议

会议地点: 上海

会议语种:英文

页码: 1-3

在线出版日期: 2011-11-13（万方平台首次上网日期，不代表论文的发表时间）