Deep Learning Assisted Pre-Carrier Phase Recovery EVM Estimation for Coherent Transmission SystemsShow others and affiliations
2021 (English)In: 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2021Conference paper, Published paper (Refereed)
Abstract [en]
We exploit deep supervised learning and amplitude histograms of coherent optical signals captured before carrier phase recovery (CPR) to perform time-sensitive and accurate error vector magnitude (EVM) estimation for 32 Gbaud mQAM signal monitoring purposes.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021.
Keywords [en]
Electric power transmission, Optical fiber communication, Optical fibers, Signal reconstruction, Amplitude histograms, Carrier phase recovery, Coherent optical, Coherent transmission systems, Error vector, Magnitude estimation, Monitoring purpose, Optical signals, Signal monitoring, Vector magnitude, Deep learning
National Category
Computer Engineering Atom and Molecular Physics and Optics Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-313856ISI: 000831479802468Scopus ID: 2-s2.0-85120461952OAI: oai:DiVA.org:kth-313856DiVA, id: diva2:1668254
Conference
2021 Conference on Lasers and Electro-Optics, CLEO 2021, Virtual, Online, 9-14 May 2021
Note
Part of proceedings: ISBN 978-1-943580-91-0
QC 20220613
2022-06-132022-06-132023-09-20Bibliographically approved