Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Optical performance monitoring of PSK Data Channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection

Published

Author(s)

Jeffrey A. Jargon, Xiaoxia Wu, Zhensheng Jia, Loukas Paraschis, Ronald Skoog, Alan Willner

Abstract

We demonstrate a technique of using artificial neural networks for optical performance monitoring of PSK data signals. Parameters for training are derived from delay-tap asynchronous diagrams using balanced detection. We also compare the results with the case of using direct detection.
Proceedings Title
35th European Conference on Optical Communications
Conference Dates
September 20-24, 2009
Conference Location
Vienna

Keywords

artificial neural network, asynchronous sampling, balanced detection, optical performance monitoring

Citation

Jargon, J. , Wu, X. , Jia, Z. , Paraschis, L. , Skoog, R. and Willner, A. (2009), Optical performance monitoring of PSK Data Channels using artificial neural networks trained with parameters derived from delay-tap asynchronous diagrams via balanced detection, 35th European Conference on Optical Communications, Vienna, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=902574 (Accessed June 24, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created September 20, 2009, Updated February 19, 2017