基于非线性傅里叶变换的光纤模型辨识

45th European Conference on Optical Communication (ECOC 2019) Pub Date : 2019-01-01 DOI:10.1049/CP.2019.1060

P. Koster, S. Wahls

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引用次数: 1

摘要

基于非线性傅里叶变换的光纤收发器采用无损路径平均模型近似链路。我们提出了一种在光纤参数未知的情况下，从时域输入输出数据中识别合适的无损模型的新方法。不需要特殊的训练信号。

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Fibre model identification for nonlinear Fourier transform-based transmission

Fibre-optic transceivers based on nonlinear Fourier transforms approximate the link by a lossless path-average model. We propose a new method that identifies a suitable lossless model from time-domain input-output data when fibre parameters are unknown. No special training signals are needed.

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来源期刊

45th European Conference on Optical Communication (ECOC 2019)

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