Jargon, J.
, Wu, X.
, Willner, A.
and Paraschis, L.
(2011),
Optical performance monitoring of (Q)PSK data channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams, IEEE Photonics Technology Letters
(Accessed October 1, 2025)
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Optical performance monitoring of (Q)PSK data channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams
Published
Author(s)
, Xiaoxia Wu, Alan Willner, Loukas Paraschis
Abstract
We demonstrate a technique of using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams for optical performance monitoring of phase shift keying (PSK) data signals. We show that asynchronous diagrams from balanced detection give superior results compared to direct detection in a 40 Gb/s binary PSK system. Experimental demonstration in a 100 Gb/s quadrature PSK system verifies the effectiveness of the proposed technique.Citation
IEEE Photonics Technology Letters
Pub Type
Journals
Keywords
neural networks, optical fiber communication, optical performance monitoring, phase modulation
Citation
Issues
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Created February 15, 2011, Updated February 19, 2017