摘要
基于异步延时采样结合神经网络的方法,提出一种利用广义回归神经网络(GRNN)对光信噪比(OSNR)和色散(CD)的监测方法,主要在40 Gbit/s 16QAM通信系统以及非线性信道环境中,通过异步采样方法提取特征量,用GRNN实现OSNR、CD的监测。GRNN方法不仅可以实现OSNR、CD的监测,与其他神经网络方法相比还具有参数少、算法效率高、易于优化的特点。
A method of using asynchronous delay sampling and generalized regression neural network(GRNN)to monitor optical signal noise ratio(OSNR)and chromatic dispersion(CD)is proposed.In the40Gbit/s16QAM communication systems and the nonlinear channel environment,the feature quantities are extracted by asynchronous sampling,and GRNN is used to realize OSNR and CD monitoring.Comparing with other neural network methods,GRNN method can not only realize the monitoring of OSNR and CD,but also has the advantages of fewer parameters,high efficiency algorithm and easy optimization.
作者
张肃
王目光
ZHANG Su;WANG Mu-guang(Key Laboratory of All Optical Network and Advanced Telecommunication Network of Ministry of Education,Institute of Lightwave Technology,Beijing Jiaotong University,Beijing 100044,China)
出处
《光电技术应用》
2018年第1期30-35,70,共7页
Electro-Optic Technology Application
基金
国家自然科学基金(61475015 61775015)资助
关键词
光性能监测
广义回归神经网络
色散
光信噪比
optical performance monitoring
generalized regression neural network
chromatic dispersion (CD)
optical signal noise ratio (OSNR)
