Chan-IDW算法在信号干扰下的UWB精确定位研究  

UWB of Chan IDW algorithm under signal interference research on precise positioning

作　　者：黄琴 兰小机[1] 夏益强 傅静雅 Huang Qin;Lan Xiaoji;Xia Yiqiang;Fu Jingya(School of Civil and Surveying and Mapping Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)

机构地区：[1]江西理工大学土木与测绘工程学院,赣州341000

出　　处：《电子测量技术》2023年第9期1-7,共7页Electronic Measurement Technology

基　　金：江西省研究生创新专项(YC2021-S556)项目资助。

摘　　要：随着人们对室内定位需求不断增加,具有良好通信功能以及定位性能的超宽带(UWB)技术在室内定位领域发挥着重要作用。针对UWB通信信号在室内复杂环境中容易受到干扰,造成定位误差的问题,本文建立K-means算法对采集数据进行聚类分析,剔除有信号干扰时产生的错误测距数值,并在经典Chan算法的基础上进行改进创建出Chan-IDW模型来确定靶点位置的实际坐标,再通过均方差误差(RMSE)来衡量出该定位模型的精度。实验结果计算出在信号干扰下定位的靶点二维坐标平均误差为5.67 cm,三维坐标平均误差为11.34 cm,误差均在厘米级别,表明该模型求解靶点坐标与其真实坐标非常接近。因此得出结论,Chan-IDW模型可有效解决室内信号干扰下的UWB精确定位问题。With the increasing demand for indoor positioning,ultra wide band(UWB)technology with good communication functions and positioning performance plays an important role in the field of indoor positioning.In view of the problem that UWB communication signals are susceptible to interference in indoor complex environment,resulting in positioning errors,this paper establishes the K-means algorithm to conduct cluster analysis of the collected data,eliminates the wrong ranging values generated when there is signal interference,and improves on the basis of the classic Chan algorithm to create a Chan-IDW model to determine the actual coordinates of the target location,and then measures the accuracy of the positioning model by mean squared error(RMSE).The experimental results calculated that the average error of the two-dimensional coordinates of the target located under signal interference was 5.67 cm,and the average error of the three-dimensional coordinates was 11.34 cm,and the error was in the centimeter level,indicating that the coordinates of the target solved by the model were very close to the real coordinates.Therefore,it is concluded that the Chan-IDW model can effectively solve the problem of accurate UWB positioning under indoor signal interference.

关 键 词：UWB测距 Chan-IDW算法 K-MEANS算法 室内精确定位 

分 类 号：P288.4[天文地球—地图制图学与地理信息工程]