We demonstrate a technique for optical performance monitoring 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 delay-tap asynchronous sampling.
© 2009 Optical Society of America
(060.0060) Fiber optics and optical communications : Fiber optics and optical communications
(060.2330) Fiber optics and optical communications : Fiber optics communications
(100.0100) Image processing : Image processing
(100.4996) Image processing : Pattern recognition, neural networks
J. A. Jargon, X. Wu, and A. E. Willner, "Optical Performance Monitoring by Use of Artificial Neural Networks Trained with Parameters Derived from Delay-Tap Asynchronous Sampling," in Optical Fiber Communication Conference and National Fiber Optic Engineers Conference, OSA Technical Digest (CD) (Optical Society of America, 2009), paper OThH1.
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