DocumentCode
1824963
Title
Optical performance monitoring by use of artificial neural networks trained with parameters derived from delay-tap asynchronous sampling
Author
Jargon, Jeffrey A. ; Wu, Xiaoxia ; Willner, Alan E.
Author_Institution
Nat. Inst. of Stand. & Technol., Boulder, CO
fYear
2009
fDate
22-26 March 2009
Firstpage
1
Lastpage
3
Abstract
We demonstrate a technique for optical performance monitoring by simultaneously identifying optical signal-to-noise ratio (OSNR), chromatic dispersion (CD), and polarization mode dispersion (PMD) using artificial neural networks trained with parameters derived from delay-tap asynchronous sampling.
Keywords
neural nets; optical fibre communication; artificial neural networks; chromatic dispersion; delay-tap asynchronous sampling; optical performance monitoring; optical signal-to-noise ratio; polarization-mode dispersion; Artificial neural networks; Condition monitoring; Delay estimation; Neurons; Optical computing; Optical fiber networks; Optical receivers; Optical signal processing; Sampling methods; Signal to noise ratio; (060.2330) Fiber optics communications; (100.4996) Pattern recognition, neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Optical Fiber Communication - incudes post deadline papers, 2009. OFC 2009. Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-1-4244-2606-5
Electronic_ISBN
978-1-55752-865-0
Type
conf
Filename
5032659
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