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
收藏
页数：3
相关论文
共 50 条
  • [41] An Accurate Passive RFID Indoor Localization System Based on Sense-a-Tag and Zoning Algorithm
    Rostamian, Majed
    Wang, Jing
    Bolic, Miodrag
    AD HOC NETWORKS, ADHOCNETS 2016, 2017, 184 : 270 - 281
  • [42] RSSI-Based Maximum Likelihood Localization of Passive RFID Tags Using a Mobile Cart
    Siachalou, Stavroula
    Bletsas, Aggelos
    Sahalos, John
    Dimitriou, Antonis G.
    2016 IEEE WIRELESS POWER TRANSFER CONFERENCE (WPTC), 2016,
  • [43] Improved innovation-based adaptive Kalman filter for dual-frequency navigation using carrier phase
    Lu ChenXi
    Tan YunHua
    Zhu BoCheng
    Zhou LeZhu
    SCIENCE CHINA-INFORMATION SCIENCES, 2010, 53 (12) : 2653 - 2663
  • [44] An Extended Kalman Filter for Direct, Real-Time, Phase-Based High Precision Indoor Localization
    Lipka, Melanie
    Sippel, Erik
    Vossiek, Martin
    IEEE ACCESS, 2019, 7 : 25288 - 25297
  • [45] Improved innovation-based adaptive Kalman filter for dual-frequency navigation using carrier phase
    LU ChenXi
    ScienceChina(InformationSciences), 2010, 53 (12) : 2653 - 2663
  • [46] Improved innovation-based adaptive Kalman filter for dual-frequency navigation using carrier phase
    ChenXi Lu
    YunHua Tan
    BoCheng Zhu
    LeZhu Zhou
    Science China Information Sciences, 2010, 53 : 2653 - 2663
  • [47] Localization and Tracking of an Indoor Autonomous Vehicle Based on the Phase Difference of Passive UHF RFID Signals
    Zhang, Yunlei
    Gong, Xiaolin
    Liu, Kaihua
    Zhang, Shuai
    SENSORS, 2021, 21 (09)
  • [48] RFID based object localization system using ceiling cameras with particle filter
    Kamol, Prachya
    Nikolaidis, Stefanos
    Ueda, Ryuichi
    Arai, Tamio
    PROCEEDINGS OF FUTURE GENERATION COMMUNICATION AND NETWORKING, WORKSHOP PAPERS, VOL 2, 2007, : 37 - 42
  • [49] Iterative Phase Reconstruction and Weighted Localization Algorithm for Indoor RFID-Based Localization in NLOS Environment
    Ma, Yongtao
    Zhou, Liuji
    Liu, Kaihua
    Wang, Jinlong
    IEEE SENSORS JOURNAL, 2014, 14 (02) : 597 - 611
  • [50] High precision nodes localization algorithm based on optimal dual-frequency comparison ranging
    Tao-Yun Z.
    Bao-wang L.
    Yi Z.
    International Journal of Computers and Applications, 2020, 42 (04) : 415 - 421
12345