NIST logo

Publication Citation: Optical Performance Monitoring Using Artificial Neural Networks Trained with Parameters Derived from Delay-Tap Asynchronous Sampling

NIST Authors in Bold

Author(s): Jeffrey A. Jargon; Xiaoxia Wu; Alan Willner;
Title: Optical Performance Monitoring Using Artificial Neural Networks Trained with Parameters Derived from Delay-Tap Asynchronous Sampling
Published: March 20, 2009
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.
Proceedings: Tech. Dig., Optical Fiber Communication Conf. (OFC)
Pages: 3 pp.
Location: San Diego, CA
Dates: March 22-26, 2009
Keywords: artificial neural network; asynchronous sampling; chromatic dispersion; optical performance monitoring; optical signal-to-noise ratio; polarization-mode dispersion
Research Areas: Optoelectronics
PDF version: PDF Document Click here to retrieve PDF version of paper (151KB)