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Publication Citation: Training of neural networks to perform optical performance monitoring of a combination of accumulated signal nonlinearity, CD, PMD, and OSNR

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Author(s): Jeffrey A. Jargon; Xiaoxia Wu; Louis Christen; Alan Willner;
Title: Training of neural networks to perform optical performance monitoring of a combination of accumulated signal nonlinearity, CD, PMD, and OSNR
Published: November 01, 2008
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: The 21st Annual Meeting of The IEEE Lasers & Electro-Optics Society
Pages: pp. 543 - 544
Location: Newport Beach, CA
Dates: November 9-13, 2008
Keywords: Artificial neural network; chromatic dispersion; nonlinearity; optical signal-to-noise ratio; performance monitoring; polarization-mode dispersion.
Research Areas: Data and Informatics
PDF version: PDF Document Click here to retrieve PDF version of paper (361KB)