光通信技术2025，Vol.49Issue(3)：1-9,9.DOI:10.13921/j.cnki.issn1002-5561.2025.03.001
面向中大型仓库的可见光通信系统目标定位
Target localization of visible light communication system for medium and large warehouses
摘要
Abstract
To address the issue of goods position estimation in medium and large intelligent warehouse systems,this paper pro-poses an indoor visible light positioning model based on contrastive learning and received signal strength(RSS),namely the con-trastive learning transformer(CLTf)model.First,hundreds of optical power values are filtered to select the highest-intensity light-emitting diode(LED)signals for constructing the optical power vector.Then,the Transformer model is employed to capture long-sequence dependencies,while contrastive learning techniques are integrated to mine anchor point prior knowledge for fea-ture representation optimization.The simulation results show that in a medium to large warehouse space of 50 m×20 m×3 m,the average positioning errors of the CLTf model on the 1st to 5th shelves are 0.292,0.344,0.375,1.133,and 2.471 cm,respectively,with a positioning accuracy of centimeter level,significantly better than traditional methods.关键词
智能仓储系统/中大型仓库/位置估计/室内定位/可见光通信Key words
intelligent warehouse system/medium and large warehouse/position estimation/indoor position/visible light com-munication分类
信息技术与安全科学引用本文复制引用
蒋菲..面向中大型仓库的可见光通信系统目标定位[J].光通信技术,2025,49(3):1-9,9.基金项目
国家社会科学基金项目(24CGJ108))资助 （24CGJ108）
国家社会科学基金项目(20CFX047)资助 （20CFX047）
广西高校中青年教师科研基础能力提升项目(2022KY1252)资助. （2022KY1252）
