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.
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页数：3
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