A Dual-Frequency Phase-Based Indoor Localization Algorithm using Particle Filter for Passive RFID Tags

被引：0

作者：

Xia, Chenhui ^{[1
]}

Xie, Liangbo ^{[1
]}

Zhou, Mu ^{[1
]}

Yang, Xiaolong ^{[1
]}

机构：

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

来源：

2022 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT) | 2022年

基金：

中国国家自然科学基金;

关键词：

RFID; indoor localization; particle filter; multipath suppression; dual-frequency selection;

D O I：

10.1109/ICMMT55580.2022.10023210

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, an RFID tag localization method based on phase particle filtering using dual-frequency phases is proposed. In order to reduce the phase error due to the multipath effect, frequency hopping technique is employed to emulate a large virtual bandwidth, and multipath suppression algorithm (MSA) is realized with the help of coarse estimation distance obtained by Inverse Fast Fourier Transform (IFFT) operation. Then an optimal dual-frequency selection strategy based on MSA is proposed. The phase ambiguity is solved by particle filter with the optimal dual-frequency phase information, which achieves high accuracy localization. Experhnental results show that the system can achieve a median localization error of 6.68 cm.

引用

页数：3