基于Co-LSTM的光纤链路建模与ASE噪声跟踪,用于远程连贯光学传输
Optics letters
|April 1, 2024
概括
一个新的通道建模方案使用面向中心的长短期内存 (Co-LSTM) 网络来准确地建模光纤非线性. 这种方法提高了长途传输的波形精度,同时大大减少了计算时间.
科学领域:
- 视觉通信工程 视觉通信工程
- 非线性光学是一种非线性光学.
- 机器学习应用程序 机器学习应用程序
背景情况:
- 精确的光纤通道建模对于高性能远程通信系统至关重要.
- 传统的方法,如分步里叶变换 (SSFM),可能是计算密集的.
- 非线性和色差分散是影响光纤信号完整性的关键因素.
研究的目的:
- 为光纤传输提出一种新的通道建模方案.
- 提高光通道建模的精度和计算效率.
- 为了有效地建模光纤跨度中的复杂非线性效应.
主要方法:
- 基于级联色差分散-非线性特征脱模块的通道建模方案的开发.
- 采用面向中心的长短期内存 (Co-LSTM) 网络结构,以模拟每个光纤跨度中的非线性.
- 在每个光纤跨度的输出处跟踪放大自发发射 (ASE) 噪声.
主要成果:
- 拟议的基于Co-LSTM的方案实现了高波形精度的长距离连贯光学传输.
- 该方法证明了显著的计算节省,与SSFM相比,大约缩短了大约一个数量级的计算时间.
- 实现了色彩分散和非线性特征的有效解.
结论:
- 基于Co-LSTM的新通道建模方案为远程光学传输提供了更准确,更有效的方法.
- 这种方法为传统技术提供了一个有希望的替代方案,平衡精度和计算成本.
- 这些发现有助于推进高容量光通信系统的发展.
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