Block-Based Mode Decomposition in Few-Mode Fibers

被引：0
|
作者：
Wang, Chenyu [1 ,2 ]
Zhang, Jianyong [1 ,2 ]
Yan, Baorui [2 ]
Mi, Shuchao [2 ]
Fan, Guofang [2 ]
Wang, Muguang [2 ]
Zhang, Peiying [3 ]
机构：
[1] Beijing Jiaotong Univ, Key Lab All Opt Network & Adv Telecommun Network, Minist Educ, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Inst Lightwave Technol, Beijing 100044, Peoples R China
[3] China Univ Petr East China, Qingdao Inst Software, Coll Comp Sci & Technol, Qingdao 266580, Peoples R China
来源：
PHOTONICS | 2025年 / 12卷 / 01期
基金：
中国国家自然科学基金;
关键词：
mode decomposition; few-mode fibers; fiber characterization; LASER;
D O I：
10.3390/photonics12010066
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A block-based mode decomposition (BMD) algorithm is proposed in this paper, which reduces computational complexity and enhances noise resistance. The BMD uses randomly selected sample blocks of the beam images to restore mode coefficients instead of all pixels in the beam images. It allows for blocks of any shape, such as triangles. In noise-free simulations, compared to the spatially degenerated mode decomposition (SPMD) algorithm, the BMD algorithm requires only 1% of the multiplication operations, thereby significantly increasing the computational efficiency while maintaining a high mode decomposition accuracy. In simulations with noise, increasing the signal-to-noise ratio (SNR) reduces decomposition errors across all configurations. The amplitude error of BMD can outperform SPMD by 15 dB. The experimental results show that BMD has a better performance than SPMD.
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页数：10
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