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Laser Linewidth Tolerant EVM Estimation Approach for Intelligent Signal Quality Monitoring Relying on Feedforward Neural Networks
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0001-5783-8996
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0003-4906-1704
RISE Research Institutes of Sweden.ORCID iD: 0000-0003-3754-0265
Chalmers University of Technology, Sweden.
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2021 (English)In: 2021 European Conference on Optical Communication (ECOC), 2021Conference paper, Published paper (Refereed)
Abstract [en]

Robustness against the large linewidth semiconductor laser-induced impairments in coherent systems is experimentally demonstrated for a feedforward neural network-enabled EVM estimation scheme. A mean error of 0.4% is achieved for 28 Gbaud square and circular QAM signals and linewidths up to 12.3 MHz.

Place, publisher, year, edition, pages
2021.
Keywords [en]
Semiconductor lasers, Quadrature amplitude modulation, Estimation, Europe, Feature extraction, Robustness, Optical fiber communication
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:ri:diva-57455DOI: 10.1109/ECOC52684.2021.9605837OAI: oai:DiVA.org:ri-57455DiVA, id: diva2:1623258
Conference
2021 European Conference on Optical Communication (ECOC). 13-16 Sept. 2021
Available from: 2021-12-28 Created: 2021-12-28 Last updated: 2024-03-05Bibliographically approved

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Fan, YuchuanPang, XiaodanUdalcovs, AleksejsOzolins, Oskars

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