Off-line monitoring of OSNR/CD/PMD degradation effects using neural-network-based training sequences

Author

Wu, Xiaoxia ; Jargon, Jeffrey ; Willner, Alan E.

Author_Institution

Dept. of Electr. Eng. - Syst., Univ. of Southern California, Los Angeles, CA

fYear

2008

fDate

21-25 Sept. 2008

Firstpage

1

Lastpage

2

Abstract

A technique using artificial neural networks to simultaneously identify OSNR, CD, and PMD from eye-diagram parameters is demonstrated both via simulation and experimentally in 40 Gb/s OOK and DPSK systems. A correlation coefficient of 0.99 is obtained for the testing data of both systems.

Keywords

differential phase shift keying; learning (artificial intelligence); optical fibre dispersion; optical fibre networks; optical fibre polarisation; optical modulation; telecommunication computing; CD degradation effects; DPSK systems; OOK system; OSNR degradation effects; PMD degradation effects; bit rate 40 Gbit/s; chromatic dispersion; neural-network-based training sequences; off-line monitoring; optical fibre networks; optical signal-to-noise ratio; polarization-mode dispersion; Artificial neural networks; Degradation; Monitoring; Neurons; Optical distortion; Optical filters; Optical noise; Optical receivers; Optical signal processing; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Optical Communication, 2008. ECOC 2008. 34th European Conference on

Conference_Location

Brussels

Print_ISBN

978-1-4244-2227-2

Electronic_ISBN

978-1-4244-2228-9

Type

conf

DOI

10.1109/ECOC.2008.4729353

Filename

4729353