Joint estimation of IQ phase and gain imbalances using convolutional neural networks on eye diagrams

Stefano Savian, Ju´lio Ce´sar Medeiros Diniz, Pak Tao Lau, Faisal Nadeem Khan, Simone Gaiarin, Rasmus Jones, Darko Zibar

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-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 publicationCLEO
Subtitle of host publicationScience and Innovations, CLEO_SI 2018
PublisherOSA - The Optical Society
VolumePart F94-CLEO_SI 2018
ISBN (Electronic)9781557528209
DOIs
Publication statusPublished - 1 Jan 2018
EventCLEO: Science and Innovations, CLEO_SI 2018 - San Jose, United States
Duration: 13 May 201818 May 2018

Conference

ConferenceCLEO: Science and Innovations, CLEO_SI 2018
Country/TerritoryUnited States
CitySan Jose
Period13/05/1818/05/18

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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