Joint Estimation of IQ Phase and Gain Imbalances Using Convolutional Neural Networks on Eye Diagrams

Stefano Savian, Júlio César Medeiros Diniz, Alan Pak Tao Lau, Faisal Nadeem Khan, Simone Gaiarin, Rasmus Thomas Jones, Darko Zibar

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

A machine learning-based low-cost monitoring technique for transmitter IQ phase and gain imbalances is proposed. Simulations with formats up to NRZ-64QAM (28 GBd) show 95%-confidence estimation within 1.5° for phase and 0.06 for gain imbalances.
Original languageEnglish
Title of host publication2018 Conference on Lasers and Electro-Optics (CLEO)
Number of pages2
PublisherOptical Society of America
Publication date2018
Pages1-2
ISBN (Print)978-1-943580-42-2
DOIs
Publication statusPublished - 2018
EventCLEO: Science and Innovations 2018 - San Jose, United States
Duration: 13 May 201818 May 2018

Conference

ConferenceCLEO: Science and Innovations 2018
CountryUnited States
CitySan Jose
Period13/05/201818/05/2018

Bibliographical note

From the session: Machine Learning for Communication (STh1C)

Keywords

  • Gain
  • Optical transmitters
  • Optical noise
  • Signal to noise ratio
  • Monitoring
  • Modulation
  • Adaptive optics

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