Deep learning assisted pre-carrier phase recovery EVM estimation for coherent transmission systemsShow others and affiliations
2021 (English)In: Optics InfoBase Conference Papers 2021 Article number STh1F.2, The Optical Society , 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. © OSA 2021, © 2021 The Author(s)
Place, publisher, year, edition, pages
The Optical Society , 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
Telecommunications
Identifiers
URN: urn:nbn:se:ri:diva-57361Scopus ID: 2-s2.0-85120063779ISBN: 9781557528209 (print)OAI: oai:DiVA.org:ri-57361DiVA, id: diva2:1623465
Conference
CLEO: Science and Innovations, CLEO:S and I 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021, 9 May 2021 through 14 May 2021
Note
Funding details: Vetenskapsrådet, VR, 2016-04510, 2019-05197; Funding text 1: This work was supported by the ERDF-funded project CARAT (1.1.1.2/VIAA/4/20/660), by the Vetenskapsr?det projects PHASE (2016-04510) and 2019-05197, and RISE project ?AI in optical transmission?.; Funding text 2: This work was supported by the ERDF-funded project CARAT (1.1.1.2/VIAA/4/20/660), by the Vetenskapsrådet projects PHASE (2016-04510) and 2019-05197, and RISE project “AI in optical transmission”.
2021-12-292021-12-292024-03-04Bibliographically approved