A Frequency Hopping Phase-Based Indoor Tracking System using Particle Filter for Passive RFID Tags

被引：0

作者：

Xia, Chenhui ^{[1
]}

Xie, Liangbo ^{[1
]}

Zhou, Mu ^{[1
]}

Wang, Yong ^{[1
]}

Nie, Wei ^{[1
]}

Li, Yuyang ^{[1
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China

来源：

2022 IEEE 10TH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION, APCAP | 2022年

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1109/APCAP56600.2022.10069130

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a particle filter (PF) based RFID tag tracking method is designed. Based on the tag phase information, the multiple signal classification algorithm (MUSIC) and the Chinese remainder theorem (CRT) algorithm are designed to obtain the angle and distance information respectively, and the PF algorithm is designed through the angle and distance information model. Simulation results show that the system can achieve a median tracking error of 1.94cm.

引用

页数：2

共 3 条

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