EVM Estimation for Performance Monitoring in Coherent Optical Systems: An Approach of Linear Regression

2022 Conference on Lasers and Electro-Optics (CLEO 2022): Proceedings 2022
Yuchuan Fan, Xiaodan Pang, Aleksejs Udaļcovs, Carlos Natalino, Lu Zhang, Sandis Spolītis, Vjačeslavs Bobrovs, Richard Schatz, Xianbin Yu, Marija Furdek, Sergejs Popovs, Oskars Ozoliņš

We experimentally demonstrate the effectiveness of a simple linear regression scheme for optical performance monitoring when applied after modulation format identification. It outperforms the FFNN-based benchmark scheme providing 0.2% mean absolute error for EVM estimation.

Keywords
Coherent optical systems; Mean absolute error; Modulation formats; Optical performance monitoring; Performance-monitoring; Simple linear regression
Hyperlink
https://ieeexplore.ieee.org/document/9890904

Fan, Y., Pang, X., Udaļcovs, A., Natalino, C., Zhang, L., Spolītis, S., Bobrovs, V., Schatz, R., Yu, X., Furdek, M., Popovs, S., Ozoliņš, O. EVM Estimation for Performance Monitoring in Coherent Optical Systems: An Approach of Linear Regression. In: 2022 Conference on Lasers and Electro-Optics (CLEO 2022): Proceedings, United States of America, San Jose, 15-20 May, 2022. Piscataway: IEEE, 2022, pp.7-11. ISBN 978-1-6654-6666-0. e-ISBN 978-1-957171-05-0. ISSN 2160-8989.

Publication language
English (en)