DocumentCode :
2057323
Title :
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
Link To Document :
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