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Experimental comparison of performance monitoring using neural networks trained with parameters derived from delay-tap plots and eye diagrams

Published

Author(s)

Jeffrey Jargon, Xiaoxia Wu, Chih-Ming Wang, Alan Willner

Abstract

We experimentally demonstrate the use of artificial neural networks trained with parameters derived from both delay-tap plots and eye diagrams for multi-impairment monitoring in a 40-Gbit/s non-return-to-zero on-off keying system.
Conference Dates
March 21-25, 2010
Conference Location
San Diego, CA
Conference Title
Tech. Dig., Optical Fiber Communication Conf. (OFC)

Keywords

artificial neural networks, delay-tap plots, eye diagrams, optical performance monitoring

Citation

Jargon, J. , Wu, X. , Wang, C. and Willner, A. (2021), Experimental comparison of performance monitoring using neural networks trained with parameters derived from delay-tap plots and eye diagrams, Tech. Dig., Optical Fiber Communication Conf. (OFC), San Diego, CA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=904127 (Accessed September 19, 2021)
Created January 24, 2021, Updated January 25, 2021