基于神经网络的色散补偿优化

2022 20th International Conference on Optical Communications and Networks (ICOCN) Pub Date : 2022-08-12 DOI:10.1109/ICOCN55511.2022.9901302

Dengpan Chang, Xiatao Huang, Jing Zhangl, Bo Xu, X. Yi, Kun Qiu

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引用次数: 0

摘要

提出了一种基于神经网络的色散补偿算法。通过在相干光学系统中400 km SSMF上传输120 gb /s 16 qam信号的仿真，验证了该方法的有效性。

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Dispersion Compensation Optimization Based on Neural Network

In this paper, a dispersion compensation algorithm based on neural network is proposed. We conduct a simulation to transmit a 120-Gb/s 16-QAM signal over 400-km SSMF in coherent optical systems to prove the effectiveness.

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来源期刊

2022 20th International Conference on Optical Communications and Networks (ICOCN)

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