DocumentCode
1984383
Title
Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters
Author
Lai, Junsen ; Yang, Aiying ; Sun, Yunan
Author_Institution
Sch. of Optoelectron., Beijing Inst. of Technol., Beijing, China
fYear
2011
fDate
Aug. 28 2011-Sept. 1 2011
Firstpage
563
Lastpage
565
Abstract
A technique using artificial neural networks trained with parameters derived from reconstructed eye diagrams for multi-impairment monitoring in a 40-Gbps RZ-OOK system is demonstrated. The proposed monitoring scheme can accurately identify simultaneous impairments without requiring data clock recovery.
Keywords
amplitude shift keying; neural nets; optical communication; optical engineering computing; optical modulation; RZ-OOK; artificial neural networks; bit rate 40 Gbit/s; data clock recovery; eye diagram reconstruction; multiple impairment monitoring; Artificial neural networks; Monitoring; Optical fiber networks; Optical fibers; Optical pulses; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Quantum Electronics Conference & Lasers and Electro-Optics (CLEO/IQEC/PACIFIC RIM), 2011
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4577-1939-4
Type
conf
DOI
10.1109/IQEC-CLEO.2011.6193685
Filename
6193685
Link To Document