PINN for Power Evolution Prediction and Raman Gain Spectrum Identification in C plus L-Band Transmission System

被引：0
|
作者：
Song, Yuchen [1 ]
Zhang, Yao [1 ]
Zhang, Chunyu [1 ]
Li, Jin [1 ]
Zhang, Min [1 ]
Wang, Danshi [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
来源：
2023 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC | 2023年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1364/OFC.2023.Th1F.5
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We experimentally demonstrate multi-channel power evolution prediction and identification of frequency-dependent fiber characteristics using PINN. A maximum absolute error of 0.3 dB for power prediction is observed on C+L-band transmission under different loadings. (C) 2023 The Author(s)
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页数：3
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