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|Author(s):||Jeffrey A. Jargon; Xiaoxia Wu; Alan Willner;|
|Title:||Optical performance monitoring of QPSK data channels by use of neural networks trained with parameters derived from asynchronous constellation diagrams|
|Published:||March 01, 2010|
|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.|
|Pages:||pp. 4931 - 4938|
|Keywords:||artificial neural network, asynchronous, constellation diagram, dispersion, optical performance monitoring, quadrature phase-shift keying|
|Research Areas:||Electronics & Telecommunications, Optoelectronics|
|PDF version:||Click here to retrieve PDF version of paper (443KB)|