Acta Optica Sinica, Volume. 42, Issue 22, 2206002(2022)
Multi-Task Optical Performance Monitoring Based on Convolutional Neural Network
Fig. 1. Flow chart of multi-task optical performance monitoring scheme based on convolutional neural net
Fig. 3. Block diagram of polarization multiplexing coherent optical fiber communication system
Fig. 4. Intensity profile and intensity fluctuation diagrams of PDM-QPSK/-8PSK/-8QAM/-16QAM/-32QAM/-64QAM with different OSNR. (a) Intensity profile diagram; (b) intensity fluctuation diagram
Fig. 5. MAE of DM-QPSK/-8QAM/-16QAM/-32QAM/-64QAM under different input features. (a) PDM-QPSK; (b) PDM-8QAM; (c) PDM-16QAM; (d) PDM-32QAM; (e) PDM-64QAM
Fig. 6. Comparison of MAE and RMSE under different modulation formats. (a) MAE; (b) RMSE
Fig. 7. Comparison of RMSE and MAE under different residual chromatic dispersions. (a) RMSE; (b) MAE
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Jingze Ju, Qingtian Liu, Hongzhao Li, Wei Hu, Tianxiong Feng, Lin Jiang, Lianshan Yan. Multi-Task Optical Performance Monitoring Based on Convolutional Neural Network[J]. Acta Optica Sinica, 2022, 42(22): 2206002
Category: Fiber Optics and Optical Communications
Received: Apr. 22, 2022
Accepted: May. 24, 2022
Published Online: Nov. 7, 2022
The Author Email: Lin Jiang (linjiang@swjtu.edu.cn)