摘要
随着物联网技术的发展,无源超高频无线射频识别(UHF RFID)定位技术的应用环境日益扩大。但在室内复杂多径的信道条件下,其定位精度往往由于多径干扰而大幅下降。为此,对多径环境下的无源RFID进行定位误差分析,并根据误差模型提出一种基于多维标度的RFID定位算法。利用阅读器获取参考标签和定位标签的相位差,通过相位差构建参考标签和定位标签之间的距离矩阵,并采用多维标度方法获取定位标签的位置信息。仿真结果表明,在存在较强直视路径的多径环境中,该算法仅使用少量的参考标签即可有效对抗多径干扰。
With the development of the Internet of Things （IoT） technologies,passive UHF RFID localization techniques is widely applied in many fields.However,in complicated indoor multipath channel environment,the localization accuracy drops a lot due to multipath interfere.To solve this problem,this paper analyses the passive UHF RFID localization errors in multipath environment,and proposes a passive UHF RFID localization algorithm based on Multidimensional Scaling （MDS）.This algorithm extracts the Phase Difference of Arrival （PDOA） information of the tag to be located and the reference tags.With the PDOA information,it can construct the distance matrix of the tag to be located and the reference tags,and obtain the location of the tag using MDS method.The simulation result indicates that in multipath environment with a relatively strong LOS path,this algorithm can reduce the localization error caused by multipath interfere effectively just using several reference tags.
出处
《计算机工程》
CAS
CSCD
2014年第8期33-37,共5页
Computer Engineering
关键词
超高频无线射频识别
室内定位
多径信道
多维标度
欧氏距离
UHF RFID
indoor localization
multipath channel
Multidimensional Scaling （MDS）
Euclidean distance
