概括
本研究介绍了一种新的架构,它结合了L-MDBP和自适应等级,以减轻WDM系统中的光纤非线性,提高性能和降低计算复杂性.
科学领域:
- 光学通信是指光学通信.
- 信号处理 信号处理
背景情况:
- 在高 baud率的WDM系统中,光纤非线性构成了重大挑战,限制了传输范围和通道容量.
- 传统的数字反向传播 (DBP) 方法用于缓解非线性是计算密集的.
研究的目的:
- 为有效的光纤非线性缓解提出和评估一种新的架构.
- 为了减少计算复杂性,同时提高WDM系统的性能.
主要方法:
- 这是一种混合方法,它结合了学习修改数字反向传播 (L-MDBP) 来实现通道内部非线性,以及双阶段决策定向最小平均平方 (DDLMS) 均衡器来实现通道间非线性.
- 利用全球优化的模型参数和自适应式通道估计.
- 实施在线转移学习 (TL) 技术,以提高适应能力.
主要成果:
- 在1600公里SSMF的8×64Gbaud16-QAM实验系统中观察到0.30dB的Q2因子改善.
- 与使用8个SPS的传统DBP相比,计算复杂性减少了82.3%.
- 在线TL技术只需要2%的初始培训时间来适应.
结论:
- 拟议的架构为光纤非线性缓解提供了卓越的性能和显著较低的计算复杂性.
- 集成L-MDBP和DDLMS为先进的WDM系统提供了有效的解决方案.
- 开发的TL技术提高了架构的适应性,培训开销最小.
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