Jargon, J.
, Wu, X.
, Jia, Z.
, Paraschis, L.
, Skoog, R.
and Willner, A.
(2009),
Optical performance monitoring of PSK Data Channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection, 35th European Conference on Optical Communications, Vienna, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=902574
(Accessed October 25, 2025)
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Optical performance monitoring of PSK Data Channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection
Published
Author(s)
, Xiaoxia Wu, Zhensheng Jia, Loukas Paraschis, Ronald Skoog, Alan Willner
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 Title
35th European Conference on Optical Communications
Conference Dates
September 20-24, 2009
Conference Location
Vienna
Pub Type
Conferences
Download Paper
Keywords
artificial neural network, asynchronous sampling, balanced detection, optical performance monitoring
Citation
Issues
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Created September 20, 2009, Updated February 19, 2017