Abstract
Artificial neural network model trained with eye diagrams parameters is developed for optical performance monitoring of PAM4 signal. The simulation results shows that the developed ANN model can simultaneously identify optical signal-to-noise ratio, chromatic dispersion, and differential group delay of 56Gbps optical PAM4 signal.
© 2017 Optical Society of America
PDF ArticleMore Like This
Jun-sen Lai, Ai-ying Yang, Lin Zuo, and Yu-nan Sun
83100M Asia Communications and Photonics Conference and Exhibition (ACP) 2011
Jeffrey A. Jargon, Xiaoxia Wu, and Alan E. Willner
OThH1 Optical Fiber Communication Conference (OFC) 2009
Junsen Lai, Aiying Yang, and Yunan Sun
C216 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2011