Optical Performance Monitoring of PSK Data Channels Using Artificial Neural Networks Trained with Parameters Derived from Delay-Tap Asynchronous Diagrams via Balanced Detection
Conference: ECOC 2009 - 35th European Conference on Optical Communication
09/20/2009 - 09/24/2009 at Vienna, Austria
Proceedings: ECOC 2009
Pages: 2Language: englishTyp: PDF
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Authors:
Wu, Xiaoxia; Willner, Alan E. (Dept. of Electrical Engineering - Systems, University of Southern California)
Jargon, Jeffrey A. (Dept. of Commerce, National Institute of Standards and Technology - NIST)
Jia, Zhensheng; Skoog, Ronald A. (Optical Networking Research, Telcordia Technologies, Inc.)
Paraschis, Loukas (Optical Networking, Advanced Technology and Planning, Cisco Systems, Inc.)
Abstract:
We demonstrate a technique of using artificial neural networks for optical performance monitoring of PSK data signals. Parameters for training are derived from delay-tap asynchronous diagrams using balanced detection. We also compare the results with the case of using direct detection.