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非线性光纤传播的EGN模型。

EGN model of non-linear fiber propagation.

作者信息

Carena Andrea, Bosco Gabriella, Curri Vittorio, Jiang Yanchao, Poggiolini Pierluigi, Forghieri Fabrizio

出版信息

Opt Express. 2014 Jun 30;22(13):16335-62. doi: 10.1364/OE.22.016335.

Abstract

The GN-model has been proposed as an approximate but sufficiently accurate tool for predicting uncompensated optical coherent transmission system performance, in realistic scenarios. For this specific use, the GN-model has enjoyed substantial validation, both simulative and experimental. Recently, however, it has been pointed out that its predictions, when used to obtain a detailed picture of non-linear interference (NLI) noise accumulation along a link, may be affected by a substantial NLI overestimation error, especially in the first spans of the link. In this paper we analyze in detail the GN-model errors. We discuss recently proposed formulas for correcting such errors and show that they neglect several contributions to NLI, so that they may substantially underestimate NLI in specific situations, especially over low-dispersion fibers. We derive a complete set of formulas accounting for all single, cross, and multi-channel effects, This set constitutes what we have called the enhanced GN-model (EGN-model). We extensively validate the EGN model by comparison with accurate simulations in several different system scenarios. The overall EGN model accuracy is found to be very good when assessing detailed span-by-span NLI accumulation and excellent when estimating realistic system maximum reach. The computational complexity vs. accuracy trade-offs of the various versions of the GN and EGN models are extensively discussed.

摘要

GN模型已被提出作为一种近似但足够准确的工具,用于预测实际场景中未补偿光相干传输系统的性能。针对这一特定用途,GN模型已经通过模拟和实验得到了大量验证。然而,最近有人指出,当用其预测来获取链路中非线性干扰(NLI)噪声积累的详细情况时,可能会受到严重的NLI高估误差影响,尤其是在链路的起始段。在本文中,我们详细分析了GN模型的误差。我们讨论了最近提出的用于校正此类误差的公式,并表明这些公式忽略了对NLI的几种影响因素,因此在特定情况下,尤其是在低色散光纤上,它们可能会严重低估NLI。我们推导了一组完整的公式,该公式考虑了所有单通道、交叉通道和多通道效应。这组公式构成了我们所称的增强GN模型(EGN模型)。我们通过与几种不同系统场景下的精确模拟进行比较,对EGN模型进行了广泛验证。在评估逐段详细的NLI积累时,发现EGN模型的整体精度非常高;在估计实际系统的最大传输距离时,精度则非常出色。文中还广泛讨论了GN模型和EGN模型各版本在计算复杂度与精度之间的权衡。

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