现代电子技术2025，Vol.48Issue(11)：8-16,9.DOI:10.16652/j.issn.1004-373x.2025.11.002
一种基于阿基米德优化算法的室内超宽带定位方法
An indoor ultra-wideband positioning method based on Archimedes optimization algorithm
摘要
Abstract
Ultra-wideband(UWB)positioning is an emerging and promising technique for precise localization,yet its effectiveness can be compromised in scenarios involving non-line-of-sight(NLOS)environments.Although many methods have been proposed for non-directional identification and compensation in complex indoor environments,they are limited to specific environments or require enough line-of-sight conditions for effective measurement by base stations.In view of this,a novel measurement method based on UWB indoor positioning is proposed to tackle these challenges comprehensively.In this method,an indoor environment's intricacy is preprocessed initially,and antenna delay parameters and Kalman filtering parameters are adjusted via a control terminal.And then,the Archimedes optimization algorithm is employed for preliminary convergence processing of positioning data,followed by utilizing the Taylor algorithm for further optimization of the obtained data.The experimental results show that the proposed positioning method achieves a ranging error of less than 3 cm and a positioning error of approximately 7 cm under the line-of-sight conditions.Moreover,it outperforms conventional methods by achieving superior positioning accuracy even in scenarios characterized by non-line-of-sight conditions.关键词
超宽带/阿基米德优化算法/定位方法/卡尔曼滤波/室内定位/定位精度Key words
UWB/Archimedes optimization algorithm/positioning method/Kalman filtering/indoor positioning/positioning accuracy分类
电子信息工程引用本文复制引用
李恒风,金哲俊,郭美佳,梅竹青,孙浩原,莱昂尼德·切尔诺戈尔,郑宇,刘田,蔺发军,孙中森..一种基于阿基米德优化算法的室内超宽带定位方法[J].现代电子技术,2025,48(11):8-16,9.基金项目
国家重点研发计划"战略性国际科技合作与创新计划"(2018YFE0206500) （2018YFE0206500）
