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Optical performance monitoring of QPSK data channels by use of neural networks trained with parameters derived from asynchronous constellation diagrams

Published

Author(s)

Jeffrey A. Jargon, Xiaoxia Wu, Alan Willner

Abstract

We demonstrate a technique for optical performance monitoring of quadrature phase-shift keying (QPSK) data channels by simultaneously identifying optical signal-to-noise ratio (OSNR), chromatic dispersion (CD), and polarization-mode dispersion (PMD) using artificial neural networks trained with parameters derived from asynchronous constellation diagrams. A correlation coefficient of 0.987 is reported for a set of testing data from a 40 Gbps return-to-zero, quadrature phase-shift keying (RZ-QPSK) system. The root-mean-square (RMS) errors are 0.77 dB for OSNR, 18.71 ps/nm for CD, and 1.17 ps for DGD.
Citation
Optics Express
Volume
18
Issue
5

Keywords

artificial neural network, asynchronous, constellation diagram, dispersion, optical performance monitoring, quadrature phase-shift keying

Citation

Jargon, J. , Wu, X. and Willner, A. (2010), Optical performance monitoring of QPSK data channels by use of neural networks trained with parameters derived from asynchronous constellation diagrams, Optics Express, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=904097 (Accessed June 18, 2024)

Issues

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Created March 1, 2010, Updated February 19, 2017