Multiple-impairment monitoring for 40-Gbps RZ-OOK using artificial neural networks trained with reconstructed eye diagram parameters

Junsen Lai, Aiying Yang, Yunan Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationConference on Lasers and Electro-Optics/Pacific Rim, CLEOPR 2011
Pages563-565
Number of pages3
Publication statusPublished - 2011
EventConference on Lasers and Electro-Optics/Pacific Rim, CLEOPR 2011 - Sydney, Australia
Duration: 28 Aug 20111 Sept 2011

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Conference

ConferenceConference on Lasers and Electro-Optics/Pacific Rim, CLEOPR 2011
Country/TerritoryAustralia
CitySydney
Period28/08/111/09/11

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