多方位分组式WiFi室内定位算法  

Multi-directional grouping WiFi indoor positioning algorithm

作　　者：罗宇锋[1] 候利军 LUO Yufeng;HOU Lijun(School of Electrical Engineering&Automation,Henan Polytechnic University,Jiaozuo 454003,China)

机构地区：[1]河南理工大学电气与自动化学院,河南焦作454003

出　　处：《传感器与微系统》2021年第4期139-141,145,共4页Transducer and Microsystem Technologies

基　　金：河南理工大学博士基金资助项目(72515/168)。

摘　　要：WiFi信号的多径传播受到室内环境很强的制约性,障碍物的遮挡和阻隔造成部分接入点(AP)的信号传输发生折射和衍射使得信号强度减弱,基于接收信号强度指示(RSSI)测距时易产生和真实距离很大的测量误差。与其他的室内定位技术相比,RSSI测距的WiFi室内定位技术在定位精度、功耗和成本方面具有很大的优势。本文提出一种新的定位算法,将多方位RSSI测距进行分组定位的方法与加权质心算法相结合,用多方位测距减小障碍物的遮挡和阻隔引起的测量误差。室内定位精度提升了近40%。The multipath propagation of WiFi signals is strongly restricted by the indoor environment.The screening and blocking of obstacles cause the signal transmission of some accept points(AP)to be refracted and diffracted,which weakens the signal strength.Therefore,the results based on received signal strength indication(RSSI)ranging is likely to produce a large measurement error comparing with real distance.Compared with other indoor positioning technologies,WiFi indoor positioning technology based on RSSI ranging has great advantages in positioning precision,power consumption and cost.A new localization algorithm which combines the method of multi-directional grouping RSSI ranging with the weighted centroid algorithm is proposed.This algorithm uses multi-directional ranging to reduce the measurement error caused by the screening and blocking of obstacles in RSSI.Thus,indoor positioning precision is increased by nearly 40%.

关 键 词：加权质心定位 接收信号强度指示(RSSI)测距 室内定位 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]