中国光学（中英文）2025，Vol.18Issue(2)：207-215,9.DOI:10.37188/CO.2024-0155
标签分布不平衡的涡旋光束轨道角动量识别
Recognition method for vortex beams orbital angular momentum with imbalanced label
摘要
Abstract
To identify the vortex beams orbital angular momentum(OAM)with imbalanced labels,this pa-per proposes a derived model based on global cost SMOTE and deep extreme learning machine(DELM).Unlike typical machine learning methods,the proposed model can obtain the analytical expression of the mapping model.It avoids repeated parameter optimization,thus building a suitable model for time-varying engineering applications.In the data generation stage,the inverse matrix of covariance was used to remove the influence of dimensions,and the differences among samples within the same category were effectively measured.In the model selection stage,considering the transmission characteristics of light signals in atmo-spheric turbulence,the DELM was adopted to quantify the mapping relationship between light spots and la-bels.Then the FISTA algorithm was used to calculate the model's analytical expression.Experiments were carried out on different intensity atmospheric turbulence data sets.The representative comparative methods include WELM and k-nearest neighbor.Experimental results show that the proposed method's root mean square error(RMSE)achieves 0.2049 and 0.0894,which are superior to the comparison methods under dif-ferent turbulence intensities.This proves that the proposed method can fully explore the characteristics of OAM spot collection and has a better recognition effect.关键词
大气湍流/轨道角动量/不平衡数据/深度极限学习机Key words
atmosphere turbulence/orbital angular momentum/imbalanced data/deep extreme learning ma-chine分类
信息技术与安全科学引用本文复制引用
于海洋,尚凡华,王宇兴,王大涛,陈纯毅..标签分布不平衡的涡旋光束轨道角动量识别[J].中国光学（中英文）,2025,18(2):207-215,9.基金项目
国家自然科学基金(No.62305030,No.62275033) （No.62305030,No.62275033）
吉林省科技发展计划项目(No.20240602123RC) Supported by the National Natural Science Foundation of China(No.62305030,No.62275033) （No.20240602123RC）
Science and Technology Development Project of Jilin Province(No.20240602123RC) （No.20240602123RC）
