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 Title: The 21st Annual Meeting of The IEEE Lasers & Electro-Optics Society
Conference Dates: November 9-13, 2008
Conference Location: Newport Beach, CA
Pub Type: Conferences
Artificial neural network, chromatic dispersion, nonlinearity, optical signal-to-noise ratio, performance monitoring, polarization-mode dispersion.