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Home > Archive>Volume 10, Issue 6, 2018 >749-753. DOI:10.13878/j.cnki.jnuist.2018.06.013
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Indoor moving-target localization using RFID and adaptive Kalman filter
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    Abstract:

    The UHF-RFID-based moving-target localization problem is investigated in this paper.In addition,a novel localization method,named B-AFK method,which integratesthe adaptive Kalman filter and the conventional BVIRE method,is presented.First,the UHF-RFID system is used to initialize the location of a mobile robot.Then,considering the uncertainties in the model and the statistical properties of the UHF-RFID localization system,an adaptive Kalman filter method is used to predict and update the robot's position.Further,an adaptive factor is introduced to compensate for the uncertainties in the noise covariance.Finally,a UHF-RFID-based localization platform is established and experiments are carried out to show that the proposed method outperforms the conventional BVIRE and linear Kalman filter in terms of precision and robustness.

    Reference
    [1] Gueaieb W,Miah M S.An intelligent mobile robot navigation technique using RFID technology[J].IEEE Transactions on Instrumentation and Measurement,2008,57(9):1908-1917
    [2] Zhou J R,Zhang H J,Zhou H L.Localization of pallets in warehouses using passive RFID system[J].Journal of Central South University,2015,22(8):3017-3025
    [3] Catarinucci L,Tedesco S,Tarricone L.Customized ultra high frequency radio frequency identification tags and reader antennas enabling reliable mobile robot navigation[J].IEEE Sensors Journal,2013,13(2):783-791
    [4] Han S,Lim H S,Lee J M.An efficient localization scheme for a differential-driving mobile robot based on RFID system[J].IEEE Transactions on Industrial Electronics,2007,54(6):3362-3369
    [5] Khaliq A A,Pecora F,Saffiotti A.Inexpensive,reliable and localization-free navigation using an RFID floor[C]//European Conference on Mobile Robots,IEEE,2015:1-7
    [6] Lionel M N,Liu Y,Lau Y C,et al.LANDMARC:indoor location sensing using active RFID[J].Wireless Networks,2004,10(6):701-710
    [7] Han S,Lim H,Lee J.An efficient localization scheme for a differential-driving mobile robot based on RFID system[J].IEEE Trans Ind Electron,2007,54(6):3362-3369
    [8] Chon H D,Jun S,Jung H,et al.Using RFID for accurate positioning[J].J Global Positioning Syst,2004,3(1/2):32-39
    [9] Yamano K,Tanaka K,Hirayama M,et al.Self-localization of mobile robots with RFID system by using support vector machine[C]//Proc IEEE/RSJ Int Conf Intell Robots Syst,2004:3756-3761.
    [10] Matsumoto O,Komoriya K,Hatase T,et al.Autonomous traveling control of the ‘TAO Aicle’ intelligent wheelchair[C]//Proc IEEE/RSJ Int Conf Intell Robots Syst,2006:4322-4327
    [11] Park S,Hashimoto S.Autonomous mobile robot navigation using passive RFID in indoor environment[J].IEEE Transactions on Industrial Electronics,2009,56(7):2366-2373
    [12] Digiampaolo E,Martinelli F.Mobile robot localization using the phase of passive UHF RFID signals[J].IEEE Transactions on Industrial Electronics,2014,61(1):365-376
    [13] Martinelli F.A robot localization system combining RSSI and phase shift in UHF-RFID signals[J].IEEE Transactions on Control Systems Technology,2015,23(5):1782-1796
    [14] Emidio D,Francesco M.Mobile robot localization using the phase of passive UHF RFID signals[J].IEEE Transactions on Industrial Electronics,2014,61(1):365-376
    [15] 石勇,韩崇昭.自适应UKF算法在目标跟踪中的应用[J].自动化学报,2011,37(6):755-759 SHI Yong,HAN Chongzhao.Adaptive UKF algorithm with applications to target tracking[J].Acta Automatica Sinica,2011,37(6):755-759
    [16] 张文安,陈国庆,杨旭升.UHF-RFID环境下的移动机器人定位方法[J].控制与决策,2017,DOI:10.13195/j.kzyjc.2017.0741 ZHANG Wen'an,CHEN Guoqing,YANG Xusheng.Mobile robot localization in UHF-RFID environment[J].Control and Decision,2017,DOI:10.13195/j.kzyjc.2017.0741
    [17] Kunkel S,Bieber R,Huang M S,et al.A concept for infrastructure independent localization and augmented reality visualization of RFID tags[C]//2009 IEEE MTT-S International Microwave Workshop on Wireless Sensing,Local Positioning,and RFID,2009:1-4
    [18] Schwiegelshohn F,Nick T,Gotze J.Localization based on fusion of RFID and stereo image data[C]//201310th Workshop on Positioning,Navigation and Communication(WPNC),2013:1-6
    [19] 俱莹,刘开华,史伟光,等.基于RFID的边界虚拟参考标签定位算法[J].计算机工程,2011,37(6):274-276 JU Ying,LIU Kaihua,SHI Weiguang,et al.BVIRE localization algorithm based on RFID[J].Computer Engineering,2011,37(6):274-276
    [20] 薛丽,高社生,胡高歌.自适应Sage-Husa粒子滤波及其在组合导航中的应用[J].中国惯性技术学报,2013,21(1):84-88 XUE Li,GAO Shesheng,HU Gaoge.Adaptive Sage-Husa particle filtering and its application in integrated navigation[J].Journal of Chinese Inertial Technology,2013,21(1):84-88
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YIN Shu, CHEN Yuanyuan, QIU Xiang. Indoor moving-target localization using RFID and adaptive Kalman filter[J]. Journal of Nanjing University of Information Science & Technology,2018,10(6):749-753

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  • Received:July 19,2018
  • Online: December 18,2018
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