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Coupling characteristics of 1×4 power splitter based on multicore photonic crystal fiber with square-lattice configuration
Author(s): Shu Xiao; Zhenpeng Wang; Qianhui Dong; Kai Tong; Xiaoxu Rong; Mingxin Yin
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Paper Abstract

We propose a novel structure of 1×4 power splitter based on multi-core square-lattice photonic crystal fiber (PCF) that is composed of four neighboring outer cores and a central incident core. The coupled-mode theory for five identical propagation cores is demonstrated to understand the coupling characteristics for the proposed multi-core PCF splitter. The coupling behaviors along longitudinal propagation direction between the central and neighboring cores are accurately investigated by using the finite element method (FEM) and the beam propagation method (BPM). Through the numerical analysis, it is shown that the optical power launched into the central incident core is able to be equally divided into other neighboring four cores with about 25% of coupling ratio in a several-millimeter long PCF at the operating wavelength of 1.55 μm. The power coupling characteristics obtained through the BPM are in very good agreement with that calculated from coupled-mode theory.

Paper Details

Date Published: 8 February 2019
PDF: 7 pages
Proc. SPIE 10843, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing and Imaging, 108430Y (8 February 2019); doi: 10.1117/12.2506359
Show Author Affiliations
Shu Xiao, Harbin Engineering Univ. (China)
Zhenpeng Wang, Harbin Engineering Univ. (China)
Sichuan Academy of Aerospace Technology (China)
Qianhui Dong, Harbin Engineering Univ. (China)
Kai Tong, Sichuan Academy of Aerospace Technology (China)
Xiaoxu Rong, Sichuan Academy of Aerospace Technology (China)
Mingxin Yin, Sichuan Academy of Aerospace Technology (China)


Published in SPIE Proceedings Vol. 10843:
9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing and Imaging
Yadong Jiang; Xiaoliang Ma; Xiong Li; Mingbo Pu; Xue Feng; Bernard Kippelen, Editor(s)

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