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Publication Citation: Optical performance monitoring of PSK Data Channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection

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Author(s): Jeffrey A. Jargon; Xiaoxia Wu; Zhensheng Jia; Loukas Paraschis; Ronald Skoog; Alan Willner;
Title: Optical performance monitoring of PSK Data Channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection
Published: September 20, 2009
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.
Proceedings: 35th European Conference on Optical Communications
Pages: 2 pp.
Location: Vienna, -1
Dates: September 20-24, 2009
Keywords: artificial neural network; asynchronous sampling; balanced detection; optical performance monitoring
Research Areas: Optoelectronics
PDF version: PDF Document Click here to retrieve PDF version of paper (498KB)