基于粒子群遗传融合优化的多模光纤出射光斑聚焦研究

徐宇帆; 杨宣兵; 周泽宇; 熊益彬; 周峰

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基于粒子群遗传融合优化的多模光纤出射光斑聚焦研究

光通信技术 | 更新时间：2026-03-24

- 基于粒子群遗传融合优化的多模光纤出射光斑聚焦研究
- Multi-mode optical fiber spot focusing based on particle swarm genetic fusion optimization algorithm
- 光学技术 2026年52卷第2期页码：183-189
- 作者机构：
  
  湖南理工学院人工智能学院信息光子学与空间光通信湖南省重点实验室，湖南岳阳 414000
- 作者简介：
  
  徐宇帆（2000— ），男，硕士研究生，从事多模光纤成像研究。xuyufan8160@163.com
  周峰（1986— ），男，副教授，博士，从事智能光学成像研究。zhoufeng0803@hnist.edu.cn
- 基金信息：
  
  湖南省教育厅科学研究项目(21A0410)
- DOI：
  中图分类号： TP394.1;TH691.9
- 收稿：2025-06-05，
  
  修回：2026-01-12，
  
  纸质出版：2026-03-20
- 稿件说明：
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徐宇帆,杨宣兵,周泽宇等.基于粒子群遗传融合优化的多模光纤出射光斑聚焦研究[J].光学技术,2026,52(02):183-189.

XU Yufan,YANG Xuanbing,ZHOU Zeyu,et al.Multi-mode optical fiber spot focusing based on particle swarm genetic fusion optimization algorithm[J].OPTICAL TECHNIQUE,2026,52(02):183-189.
徐宇帆,杨宣兵,周泽宇等.基于粒子群遗传融合优化的多模光纤出射光斑聚焦研究[J].光学技术,2026,52(02):183-189. DOI：

XU Yufan,YANG Xuanbing,ZHOU Zeyu,et al.Multi-mode optical fiber spot focusing based on particle swarm genetic fusion optimization algorithm[J].OPTICAL TECHNIQUE,2026,52(02):183-189. DOI：

摘要

为提高多模光纤出射光斑聚焦的精度和效率，提出并实验论证了一种基于粒子群遗传融合优化的多模光纤光斑聚焦方案。方案首先测定多模光纤的光学传输矩阵，利用初始传输矩阵实现光斑聚焦，然后以聚焦增强因子为目标函数，通过粒子群遗传融合算法对光学传输矩阵进行优化以提升聚焦性能。实验分别对单点聚焦和多点聚焦进行了研究讨论，结果显示，在单点聚焦中，经融合算法优化后大部分目标位置的聚焦增强因子可提升至原来的2倍左右，其中中心位置光斑的增强因子值可达45.08，是未优化时的2.41倍，融合算法相较于粒子群和遗传算法优化聚焦分别提升了73.62%和34.09%；在多点聚焦中，融合优化算法的双点聚焦增强因子由未优化的10.90增长到了27.02，较粒子群和遗传分别提高了44.49%和3.86%；在三点聚焦中增强因子20.65更是达到了未优化时的2.83倍，同样高于粒子群算法的15.55以及遗传算法的19.02。结果表明，所提方案可有效提升多模光纤系统的出射光斑聚焦性能。

Abstract

To enhance the precision and efficiency of spot focusing using multimode optical fibers

this paper proposes and experimentally validates a novel spot focusing scheme based on a hybrid particle swarm-genetic optimization algorithm. The proposed scheme begins with the measurement of the optical transmission matrix of the multimode fiber

utilizing the initial transmission matrix to achieve spot focusing. Subsequently

the focusing enhancement factor is employed as the objective function to optimize the optical transmission matrix and improve focusing performance through the hybrid particle swarm-genetic algorithm. Experiments were conducted to investigate both single-point and multi-point focusing scenarios. The results demonstrate that in single-point focusing

the enhancement factor for most target positions can be approximately doubled after optimization with the hybrid algorithm. Specifically

the enhancement factor at the central position reached 45.08

which is 2.41 times the value before optimization. Compared to the particle swarm and genetic algorithms individually

the hybrid algorithm improved focusing performance by 73.62% and 34.09%

respectively. In multi-point focusing

the dual-point focusing enhancement factor increased from 10.90 before optimization to 27.02 with the hybrid algorithm

representing improvements of 44.49% and 3.86% over the particle swarm and genetic algorithms

respectively. For three-point focusing

the enhancement factor of 20.65achieved with the hybrid algorithm was 2.83 times the pre-optimization value

surpassing the results of 15.55 and 19.02 obtained with the particle swarm and genetic algorithms

respectively. These findings indicate that the proposed scheme significantly enhances the spot focusing performance of multimode optical fiber systems.

关键词

Keywords

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