Abstract

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

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