计算机科学

计算机科学 ›› 2023, Vol. 50 ›› Issue (6A): 220500055-6.doi: 10.11896/jsjkx.220500055

• 网络&通信 • 上一篇    下一篇

无源UHF RFID标签缺失定位特征估计算法

赵阳1, 李凌云1, 赵晓霞1, 刘先辉1, 张良2   

  1. 1 中国民航大学电子信息与自动化学院 天津 300300 ;
    2 亚利桑那大学信息学院 亚利桑那州 图森 85721
  • 出版日期:2023-06-10 发布日期:2023-06-12
  • 通讯作者: 赵阳(zhaoy@cauc.edu.cn)
  • 基金资助:
    国家自然科学基金(61802409);中国民航大学科研启动基金项目(2020KYQD13);中央高校基本科研业务费专项资金(3122021035)

Missing Localization Characteristic Estimation Algorithm for Passive UHF RFID Tag

ZHAO Yang1, LI Lingyun1, ZHAO Xiaoxia1, LIU Xianhui1, ZHANG Liang2   

  1. 1 College of Electronic Information and Automation,Civil Aviation University of China,Tianjin 300300,China;
    2 School of Information,University of Arizona,Tucson 85721,USA
  • Online:2023-06-10 Published:2023-06-12
  • About author:ZHAO Yang,born in 1988,Ph.D,lectu-rer,is a member of China Computer Fe-deration.Her main research interests include IoT,wireless sensing and artificial intelligence.
  • Supported by:
    National Natural Science Foundation of China(61802409),Civil Aviation University of China Scientific Research Starting Foundation(2020KYQD13) and Fundamental Research Funds for the Central Universities of Ministry of Education of China(3122021035).

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摘要： 针对无源UHF RFID标签未激活导致的定位特征缺失问题,鉴于精确建立信道模型存在较大困难,提出了一种基于信号强度欧氏距离-空间欧氏距离线性模型的缺失定位特征估计算法,通过增加特征维数以提高场景分析算法定位精度。对于未激活参考标签,可直接基于线性模型估计所缺失定位特征,以提高场景匹配数据的完备性;对于未激活待定位标签,则基于线性模型首先估计待定位标签与多个基准参考标签的间隔距离,引入最小二乘算法初步估计其位置信息,再基于线性模型反向估计出所缺失定位特征,从而完善待定位标签的定位特征。基于实测实验表明,所提出的缺失定位特征估计计算方法不仅能有效提高所有缺失待定位标签的定位精度,还能提高缺失参考标签周围待定位标签的定位精度,且无需增加硬件设备,符合低成本、高精度的应用需求。

关键词: 定位, 无源UHF RFID, 场景分析, 信号强度, 特征估计

Abstract: For the problem of missing localization characteristics caused by the activation failure of passive UHF RFID tags,given the significant challenges in precisely modeling the channel,this paper proposes a missing localization characteristic estimation algorithm based on the linear model of signal strength Euclidean distance-space Euclidean distance to improve the localization accuracy of the scene analysis algorithms by increasing the number of characteristic dimensions.To increase the completeness of the scene matching data for nonactivated reference tags,the missing localization characteristics could be calculated directly by using the linear model.For the nonactivated target tags,the linear model is used to estimate the distance between the target tag and multiple benchmark reference tags,the least squares algorithm is used to estimate the preliminary location information of the target tag,and again the missing localization features are estimated using the linear model in reverse to complete the localization characteristics of the target tags.Experiments show that the proposed algorithm can not only effectively improve the localization accuracy of all missing target tags,but also the target tags around the missing reference tags.In addition,there is no additional hardware equipment included for this algorithm,which meets the application requirements of low-cost and high-precision.

Key words: Localization, Passive UHF RFID, Scene analysis, Signal strength, Characteristic estimation

中图分类号: 

  • TN915
[1]ZHU C,ZHAO S,XIA Y,et al.An improved three-point localization method based on RSS for transceiver separation RFID systems[J].Measurement,2022,187:110283.
[2]SASIKALA M,ATHENA J,RINI A S.Received SignalStrength based Indoor Positioning with RFID[C]//2021 IEEE International Conference on RFID Technology and Applications(RFID-TA).Delhi,India,2021:260-263.
[3]ZHAO S,ZHANG X P,CUI X,et al.A new TOA localization and synchronization system with virtually synchronized periodic asymmetric ranging network[J].IEEE Internet of Things Journal,2021,8(11):9030-9044.
[4]RAO R M,PADAKI A V,NG B L,et al.ToA-Based Localization of Far-Away Targets:Equi-DOP Surfaces,Asymptotic Bounds,and Dimension Adaptation[J].IEEE Transactions on Vehicular Technology,2021,70(10):11089-11094.
[5]HAO B J,WANG L L,LI Z,et al.Location node selection me-thod for TDOA passive location[J].Jounal of Electronics & Information Technology,2019,41(2):462-468.
[6]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.
[7]SCHRÖDER Y,WOLF L.InPhase:Phase-based Ranging andLocalization[J].ACM Transactions on Sensor Networks.2022,18(2):1-39.
[8]FX A,JZA B,DLB C.Precise localization of RFID tags usinghyperbolic and hologram composite localization algorithm[J].Computer Communications,2020,157(2020):451-460.
[9]SKYVALAKIS K,GIANNELOS E,ANDRIANAKIS E,et al.Elliptical DoA Estimation & Localization[C]//2021 IEEE International Conference on RFID Technology and Applications(RFID-TA).Delhi,India,2021:40-43.
[10]HUANG D H,ZHAO Y S,ZHAO Y J,et al.Algebraic solution of single observer passive coherent location based on doa-tdoa-fdoa[J].Jounal of Electronics & Information Technology,2021,43(3):735-744.
[11]ZHAO Y,LIU K,MA Y,et al.Similarity Analysis-Based Indoor Localization Algorithm With Backscatter Information of Passive UHF RFID Tags[J].IEEE Sensors Journal,2017,17(1):185-193.
[12]GENG C,ABRUDAN T E,KOLMONEN V M,et al.Experimental study on probabilistic toa and aoa joint localization in real indoor environments[C]//IEEE International Conference on Communications(ICC 2021).IEEE,2021:1-6.
[13]NI L M,LIU Y,LAU Y C,et al.LANDMARC:Indoor localtion sensing using active RFID[C]//Proceedings of the First IEEE International Conference on Pervasive Computing and Communications.Fort Worth,USA,2003:407-415.
[14]HU B,PENG H J,SUN Z X.LANDMARC Localization Algorithm Based on Weight Optimization[J].Chinese Journal of Electronics,2018,27(6):1291-1296.
[15]TIAN Y F,WANG S C.An optimized LANDMARC RFID positioning system design[J].Computer Science,2016,43(Z6):561-562.
[16]ZHAO Y,LIU Y,NI L M.VIRE:Active RFID-based Localization Using Virtual Reference Elimination[C]//2007 International Conference on Parallel Processing(ICPP 2007).Beijing,China,2007:56-61.
[17]GUAN T,WANG D,SU Y.Research on RFID Virtual Tag Location Algorithm Based on Monte Carlo[C]//2021 IEEE 13th International Conference on Computer Research and Development(ICCRD).Beijing,China,2021:68-72.
[18]SHI W,WONG V W S.MDS-Based Localization Algorithm for RFID Systems[C]//2011 IEEE International Conference on Communications(ICC).Kyoto,Japan,2011:1-6.
[19]GAO Z,MA Y,LIU K,et al.An Indoor Multi-Tag Cooperative Localization Algorithm Based on NMDS for RFID[J].IEEE Sensors Journal,2017,17(7):2120-2128.
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