A Comparison of Linear Regression and Deep Learning Model for EVM Estimation in Coherent Optical Systems 2022 (English)In: 2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE) , 2022Conference paper, Published paper (Refereed)

Abstract [en]

We experimentally investigate EVM estimation approaches based on linear regression and deep learning for 28 Gbaud coherent optical systems. We show that the estimation performances are comparable when the modulation format is known.

Place, publisher, year, edition, pages

Institute of Electrical and Electronics Engineers (IEEE) , 2022.

National Category

Telecommunications

Identifiers

URN: urn:nbn:se:kth:diva-344570DOI: 10.1109/CLEO-PR62338.2022.10432177Scopus ID: 2-s2.0-85187000900OAI: oai:DiVA.org:kth-344570DiVA, id: diva2:1845958

Conference

2022 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2022, Sapparo, Japan, Jul 31 2022 - Aug 5 2022

Note

Part of ISBN 9798350350012

Duplicate in Scopus 2-s2.0-85166472370

QC 20240322

Available from: 2024-03-20 Created: 2024-03-20 Last updated: 2024-07-18Bibliographically approved

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Fan, YuchuanPang, XiaodanSchatz, RichardPopov, SergeiOzolins, Oskars

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Fan, YuchuanPang, XiaodanSchatz, RichardPopov, SergeiOzolins, Oskars

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