Jargon, J.
, Wu, X.
, Christen, L.
and Willner, A.
(2008),
Training of neural networks to perform optical performance monitoring of a combination of accumulated signal nonlinearity, CD, PMD, and OSNR, The 21st Annual Meeting of The IEEE Lasers & Electro-Optics Society, Newport Beach, CA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=33153
(Accessed March 27, 2025)
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Training of neural networks to perform optical performance monitoring of a combination of accumulated signal nonlinearity, CD, PMD, and OSNR
Published
Author(s)
, Xiaoxia Wu, Louis Christen, Alan Willner
Abstract
We propose a technique using artificial neural networks to simultaneously identify fiber nonlinearity, OSNR, CD, and PMD from eye-diagram and eye-histogram parameters. A correlation coefficient of 0.97 is obtained for a set of testing data.Proceedings Title
The 21st Annual Meeting of The IEEE Lasers & Electro-Optics Society
Conference Dates
November 9-13, 2008
Conference Location
Newport Beach, CA
Pub Type
Conferences
Download Paper
Keywords
Artificial neural network, chromatic dispersion, nonlinearity, optical signal-to-noise ratio, performance monitoring, polarization-mode dispersion.
Citation
Issues
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Created November 1, 2008, Updated February 19, 2017