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多芯光纤中的最佳串扰抑制

Optimal crosstalk suppression in multicore fibers.

作者信息

Jaramillo Ávila B, Torres J M, León-Montiel R de J, Rodríguez-Lara B M

机构信息

CONACYT-Instituto Nacional de Astrofísica, Óptica y Electrónica, Calle Luis Enrique Erro No. 1. Sta. Ma. Tonantzintla, Pue., C.P. 72840, Mexico.

Instituto de Física, Benémerita Universidad Autónoma de Puebla, Apdo. Postal J-48, Puebla, 72750, Mexico.

出版信息

Sci Rep. 2019 Oct 31;9(1):15737. doi: 10.1038/s41598-019-51854-x.

DOI:10.1038/s41598-019-51854-x
PMID:31673010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6823476/
Abstract

We study propagation in a cyclic symmetric multicore fiber where the core radii randomly fluctuate along the propagation direction. We propose a hybrid analytic-numerical method to optimize the amplitude and frequency of the fluctuations that suppress power transfer between outer and inner cores. This framework allows us to analytically find noise amplitude parameters that optimally suppress crosstalk. Our predictions are confirmed by numerical experiments using finite difference beam propagation methods for realistic C-band fibers. The analytic part of our method is general, provides the optimum fluctuation amplitude independent of the array geometry, as long as normal modes can be calculated. It works for both correlated and uncorrelated fluctuations allowing its use for any given optical system described by coupled mode theory.

摘要

我们研究了在一种循环对称多芯光纤中的传播情况,其中纤芯半径沿传播方向随机波动。我们提出了一种混合解析 - 数值方法,用于优化波动的幅度和频率,以抑制内外纤芯之间的功率传输。该框架使我们能够通过解析找到能最佳抑制串扰的噪声幅度参数。我们的预测通过使用有限差分光束传播方法对实际C波段光纤进行的数值实验得到了证实。我们方法的解析部分具有通用性,只要能计算正常模式,就能提供与阵列几何形状无关的最佳波动幅度。它适用于相关和不相关的波动,可用于由耦合模理论描述的任何给定光学系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/6823476/64dbb9fa028a/41598_2019_51854_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/6823476/a17b16db3c10/41598_2019_51854_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/6823476/a7aaf3f5ff9b/41598_2019_51854_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/6823476/935086d551dd/41598_2019_51854_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/6823476/64dbb9fa028a/41598_2019_51854_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/6823476/a17b16db3c10/41598_2019_51854_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/6823476/a7aaf3f5ff9b/41598_2019_51854_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/6823476/935086d551dd/41598_2019_51854_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52af/6823476/64dbb9fa028a/41598_2019_51854_Fig4_HTML.jpg

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