Training of neural networks to perform optical performance monitoring of a combination of accumulated signal nonlinearity, CD, PMD, and OSNR

Author

Wu, Xiaoxia ; Jargon, Jeffrey ; Christen, Louis ; Willner, Alan

Author_Institution

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

fYear

2008

Firstpage

543

Lastpage

544

Abstract

We propose a technique using artificial neural networks to simultaneously identify fiber nonlinearity, OSNR, CD, and PMD from eye-diagram and eye-histogram parameters. A correlation coefficient of 0.97 is obtained for a set of testing data.

Keywords

neural nets; nonlinear optics; optical fibre dispersion; optical fibre networks; optical fibre polarisation; optical fibre testing; telecommunication computing; CD; OSNR; PMD; accumulated signal nonlinearity; artificial neural networks training; chromatic dispersion; correlation coefficient; eye-diagram parameters; eye-histogram parameters; fiber nonlinearity identification; first-order polarization-mode-dispersion; high performance optical network monitoring; optical signal-to-noise-ratio; Artificial neural networks; Monitoring; Neural networks; Neurons; Optical computing; Optical fiber networks; Optical noise; Optical receivers; Optical scattering; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

IEEE Lasers and Electro-Optics Society, 2008. LEOS 2008. 21st Annual Meeting of the

Conference_Location

Acapulco

Print_ISBN

978-1-4244-1931-9

Electronic_ISBN

978-1-4244-1932-6

Type

conf

DOI

10.1109/LEOS.2008.4688732

Filename

4688732