Paper
28 February 2023 Research on OSNR monitoring technology based on deep neural network
XiaoMeng Xia, BoZhong Li, HongBing Huang, YiZe Tang, WenJie Kong
Author Affiliations +
Proceedings Volume 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022); 125961B (2023) https://doi.org/10.1117/12.2672152
Event: International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 2022, Changsha, China
Abstract
The OSNR monitoring based on machine learning has achieved some results in coherent optical communication system, but it is not widely researched in intensity-modulation and direct detection system. In this paper, an electrical domain signal processing scheme based on deep neural network is proposed for monitoring link OSNR of intensity-modulation and direct detection system. We successfully estimate the OSNR of the 4GBaud OOK signal with the mean absolute error less than 0.81dB in the range of eight to 18 dB by a five layers deep neural network using 550,000 datasets.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
XiaoMeng Xia, BoZhong Li, HongBing Huang, YiZe Tang, and WenJie Kong "Research on OSNR monitoring technology based on deep neural network", Proc. SPIE 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 125961B (28 February 2023); https://doi.org/10.1117/12.2672152
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KEYWORDS
Education and training

Machine learning

Neural networks

Optical transmission

Optical communications

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