摘要
A fiber nonlinearity compensation scheme based on an unsupervised-learning neural network is proposed. In the proposed scheme, labels in the training data and weights of the neural network are iteratively updated until converging. To validate the proposed scheme, a 3200 km dual-polarization 16-QAM simulation link and an 1800 km single-polarization experimental link were carried out. Simulation and experiment results validate that the proposed method can achieve the same equalization performance as the supervised-learning-neural-network-based scheme, without any pre-defined training data.
源语言 | 英语 |
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主期刊名 | 2021 International Conference on Optical Instruments and Technology |
主期刊副标题 | Optical Communication and Optical Signal Processing |
编辑 | Jian Chen, Yi Dong, Shilong Pan, Yang Qiu, Fabien Bretenaker |
出版商 | SPIE |
ISBN(电子版) | 9781510655614 |
DOI | |
出版状态 | 已出版 - 2022 |
活动 | 2021 International Conference on Optical Instruments and Technology: Optical Communication and Optical Signal Processing - Virtual, Online, 中国 期限: 8 4月 2022 → 10 4月 2022 |
出版系列
姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
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卷 | 12278 |
ISSN(印刷版) | 0277-786X |
ISSN(电子版) | 1996-756X |
会议
会议 | 2021 International Conference on Optical Instruments and Technology: Optical Communication and Optical Signal Processing |
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国家/地区 | 中国 |
市 | Virtual, Online |
时期 | 8/04/22 → 10/04/22 |
指纹
探究 'Unsupervised-Learning Neural Network for Fiber Nonlinearity Compensation' 的科研主题。它们共同构成独一无二的指纹。引用此
He, P., Wu, F., Yang, M., Yang, A., Guo, P., Qiao, Y., & Xin, X. (2022). Unsupervised-Learning Neural Network for Fiber Nonlinearity Compensation. 在 J. Chen, Y. Dong, S. Pan, Y. Qiu, & F. Bretenaker (编辑), 2021 International Conference on Optical Instruments and Technology: Optical Communication and Optical Signal Processing 文章 122780I (Proceedings of SPIE - The International Society for Optical Engineering; 卷 12278). SPIE. https://doi.org/10.1117/12.2616544