基于超宽带技术的室内定位方法研究  

Research on Indoor Positioning Technique

作　　者：杨潇 张晓如[1] YANG Xiao;ZHANG Xiao-ru(School of Computer Science,Jiangsu University of Science and Technology,Zhenjiang 212003,China)

机构地区：[1]江苏科技大学计算机学院,江苏镇江212003

出　　处：《软件导刊》2020年第9期97-100,共4页Software Guide

摘　　要：在国家数字与智能化建设推动下,为实现更安全、便利的管控,越来越多的企业采用智能化监管系统。大型工厂建筑结构复杂,场地开阔,现有室内定位技术难以满足企业对人员进行精确实时定位的需求。因此提出一种基于超宽带技术的人员定位方法。该方法采用对称双向双边测距算法,同时结合传统三边算法与粒子群算法进行对比计算以提高定位精度。实验结果表明,定位精度可提高5%,该方法可为工厂智能化管理提供技术参考。Under the promotion of national digital construction and intelligent construction,more and more enterprises now adopt intelligent supervision system and security control of equipment to achieve safer and more convenient control. Due to the complexity of structure with large open areas in factories,in order to facilitate the monitoring and management of service personnel in large factories for precise real-time positioning,a personnel positioning scheme based on UWB technology which adopts the bidirectional bilateral symmetry ranging algorithm is proposed to effectively restrain the mobile label and position between the base station distance measurement error due to crystals drift. At the same time,traditional trilateral algorithm is compared with particle swarm algorithm to calculate to improve the positioning accuracy. The experimental results show that the precision positioning precision improved by 5%. This proposed scheme has the advantage of improving the positioning accuracy and can provide a reference for improving the real-time positioning accuracy of personnel in factory management.

关 键 词：超宽带技术 双向双边测距 粒子群算法 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]