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

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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.
Citation: Optics Express
Volume: 18
Issue: 5
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: PDF Document Click here to retrieve PDF version of paper (443KB)