用于长途光纤通信系统非线性均衡的相干全光存储计算

Guanju Peng, Yaping Liu, Zheng Li, Kunpeng Zhu, Zhiqun Yang, Jianping Li, Shigui Zhang, Zhanhua Huang, Lin Zhang
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引用次数: 0

摘要

光子储层计算(RC)作为一种前景广阔的光信号处理范例,近年来在光纤非线性均衡领域引起了广泛关注。针对实际的长途传输场景,我们提出了一种在相干方案中运行的全光 RC,以减轻高速信号的非线性失真。与直接决策架构相比,在 3960 千米的光纤传输中,所提出的 RC 对单波长系统可显著提高 Q 因子 2.6 dB,对 7 信道波分复用(WDM)系统可显著提高 Q 因子 1.9 dB。此外,通过对不同训练序列的研究,相干全光 RC 的鲁棒性也得到了验证。相干全光 RC 在长途光纤传输的实时非线性缓解方面显示出巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coherent all-optical reservoir computing for nonlinear equalization in long-haul optical fiber communication systems
Photonic reservoir computing (RC), as a promising paradigm of optical signal processing, has attracted a great deal of attention in fiber nonlinearity equalization recently. For real long-haul transmission scenarios, we propose an all-optical RC operated in a coherent scheme to mitigate the nonlinear distortion of high-speed signals. Compared with the direct decision architecture, the proposed RC can dramatically improve the Q factor by 2.6 dB for a single-wavelength system and 1.9 dB for a 7-channel wavelength-division multiplexing (WDM) system over 3960-km fiber transmission. Furthermore, the robustness of the coherent all-optical RC is also verified by conducting studies on different training sequences. The coherent all-optical RC shows great potential in real-time nonlinearity mitigation for long-haul fiber transmissions.
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