Study On Optical Communications, Volume. 50, Issue 5, 23005101(2024)
Gain Control Method for FRA based on Neural Network and Numerical Solution of Equations
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Fig. 3. The optimization algorithm for pump parameters based on numerical solution of equations
Fig. 6. The result of the effect of training data gain flatness on the accuracy of FRA output gain
Table 1. The simulation parameters of signals and pumps
View tableView in ArticleTable 1. The simulation parameters of signals and pumps
参数项 数值范围 信号光频率范围/THz 192~196 信号光频率间隔/THz 0.1 信号光输入功率/dBm －20 泵浦光1波长范围/nm 1 414.0~1 437.3 泵浦光2波长范围/nm 1 437.3~1 460.6 泵浦光3波长范围/nm 1 460.6~1 484.0 泵浦光功率范围/mW 0~250
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Kuanlin MU, Yue WU, Jian ZHOU, Shishu YIN. Gain Control Method for FRA based on Neural Network and Numerical Solution of Equations[J]. Study On Optical Communications, 2024, 50(5): 23005101
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Received: Apr. 13, 2023
Accepted: --
Published Online: Oct. 15, 2024
The Author Email: MU Kuanlin (mukuanlin@126.com)
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