基于RFID载波相位的室内EKF定位算法

doi:10.11959/j.issn.1000-436x.2022048

Abstract

Abstract:

In order to solve the problem of low localization accuracy caused by indoor environment interference in the existing UHF RFID localization methods, an indoor extended Kalman filter (EKF) localization algorithm based on frequency hopping assisted RFID carrier phase was proposed.The virtual large bandwidth obtained by frequency hopping was used for rough distance estimation to realize multipath suppression, and the reliable dual frequency point selection and parameter optimization were completed through the phase after multipath suppression.Finally, EKF algorithm was used to realize high-precision and fast localization.Experimental results show that the average localization error of the proposed algorithm is 9.35 cm, and the real-time performance of the localization solution is nearly 10 times higher than the traditional integer solution method based on Chinese remainder theorem (CRT).

Key words: indoor localization, RFID, carrier phase, EKF

CLC Number:

TN92

Liangbo XIE, Xixi LIU, Yong WANG, Mu ZHOU, Zengshan TIAN. Indoor EKF localization algorithm based on RFID carrier phase[J]. Journal on Communications, 2022, 43(3): 124-134.

Figures/Tables 17

References 22

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设备	用途
英频杰R420	与标签建立通信，频点为924.125 MHz
无源标签	英频杰H47反射信号
USRP N210	共4台，一台用于发射780~900 MHz的跳频纯载波信号，3台用于接收标签反射信号
PC主机	控制发射和接收设备、处理实验数据
时钟源	（OctoClock-G CDA-2990）用于USRP发射端和接收端时钟源同步
射频天线	采用圆极化天线

Indoor EKF localization algorithm based on RFID carrier phase

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