A Phase and RSSI-Based Method for Indoor Localization Using Passive RFID System With Mobile Platform

被引:8
|
作者
Liu, Zheng [1 ]
Fu, Zhe [1 ]
Li, Tongyun [1 ]
White, Ian H. [2 ]
Penty, Richard, V [1 ]
Yang, Xiaojun [3 ]
Du, Rui [3 ]
Crisp, Michael [1 ]
机构
[1] Univ Cambridge, Dept Engn, Elect Div, Cambridge CB3 1PZ, England
[2] Univ Bath, Bath BA2 7AY, Avon, England
[3] Beijing Inst Aerosp Control Devices, Beijing 100854, Peoples R China
基金
英国工程与自然科学研究理事会;
关键词
Location awareness; Trajectory; Three-dimensional displays; Robots; Radiofrequency identification; Antennas; Robot kinematics; RFID; phase-based; localization; SAR-BASED METHOD; TAGS;
D O I
10.1109/JRFID.2022.3179620
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 phase and RSSI-based method for indoor localization of UHF RFID tags is proposed and demonstrated. The proposed method exploits the received phase and RSSI profile combined with the location of the moving antenna to locate target tags. The phase and RSSI measurements are collected by a mobile robot carrying a RFID reader and antennas. By analyzing the received RSSI, of which the strength can indicate whether the signal is stable or not, a valid phase profile can be obtained. After obtaining valid phase profile according to the received RSSI, the location of the target along the antenna trajectory is calculated from the stationary point of the phase curve. The location orthogonal to the antenna trajectory distance is estimated by finding the integer number of wavelengths at the point of closest approach which fits the phase profile. 2D localization requires only one straight-line trajectory while 3D localization requires an L-shape trajectory. After estimating the x and y coordinate using the stationary point on each trajectory, the height of the target can be calculated by considering the integer number of wavelengths at the point of the closest approach. A 12 cm 2D localization error and 14 cm 3D localization error are demonstrated.
引用
收藏
页码:544 / 551
页数:8
相关论文
共 50 条
  • [11] RSSI-Based Indoor Localization With the Internet of Things
    Sadowski, Sebastian
    Spachos, Petros
    IEEE ACCESS, 2018, 6 : 30149 - 30161
  • [12] RSSI-Based Smooth Localization for Indoor Environment
    Wang, Yujian
    Zhao, Bin
    Jiang, Zhaohui
    SCIENTIFIC WORLD JOURNAL, 2014,
  • [13] Novel RSSI-Based Techniques for Indoor Localization
    Du, Jinze
    Diouris, Jean-Francois
    Wang, Yide
    2017 IEEE RADIO AND ANTENNA DAYS OF THE INDIAN OCEAN (RADIO), 2017,
  • [14] A Modified RSSI-Based Indoor Localization Method in Wireless Sensor Network
    Chen, Zhe
    Han, Wenting
    Jiang, Yuchao
    Yin, Fuliang
    PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON MECHATRONICS, CONTROL AND ELECTRONIC ENGINEERING, 2014, 113 : 216 - 220
  • [15] A Heterogeneous RSSI-based Localization System for Indoor and Outdoor Sports Activities
    Pricone, Marco
    Caracas, Alexandru
    2014 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2014, : 274 - 280
  • [16] Environmental-Adaptive RSSI-Based Indoor Localization
    Ahn, Hyo-Sung
    Yu, Wonpil
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2009, 6 (04) : 626 - 633
  • [17] RSSI-based Fingerprint Map Building for Indoor Localization
    Lee, Yu-Cheol
    Park, Seung-Hwan
    2013 10TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2013, : 292 - 293
  • [18] RSSI-based indoor localization using two-step XGBoost
    Kosaka, Taisei
    Wandale, Steven
    Ichige, Koichi
    IEICE COMMUNICATIONS EXPRESS, 2023, 12 (12): : 647 - 650
  • [19] Indoor RSSI-based Localization using Fuzzy Path Loss Models
    Tomazic, Simon
    Skrjanc, Igor
    2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2018,
  • [20] RSSI-based Indoor Localization using Antenna Diversity and Plausibility Filter
    Fink, Andreas
    Beikirch, Helmut
    WPNC: 2009 6TH WORKSHOP ON POSITIONING, NAVIGATION AND COMMUNICATION, PROCEEDINGS, 2009, : 159 - 165