射频识别动态定位方法

doi:10.3969/j.issn.1000-436x.2013.04.017

摘要/Abstract

摘要：

提出一种新型的通过参考标签和移动RFID射频读写器进行定位的方法。该定位方法的主要优点是不需要记录任何测量信息如 TOA、RSSI 等，而是通过移动读写器，不断对目标标签和参考标签进行读取，经椭圆还原算法对读区域进行还原，最终以交集计算实现定位。该方法思路简单，但实现了较高精度的RFID室内定位。实验结果表明，该定位方法的精度可在最小的参考标签单元格内（可到达数十厘米级），同时建立的原型定位系统具有成本低、易于部署等特点，存在应用于大规模RFID仓储定位管理的可行性。

关键词: 射频识别, 室内定位, 移动读写器, 参考标签

Abstract:

A novel proximity method-RFID dynamic positioning method was presented,using a moving radio frequency identification (RFID) reader to accurately position the target based on reference tag arrays.The major advantage of the method was that through reading tags without any measurement data,e.g.,the time of arrival (TOA) or the received signal strength indication (RSSI),it improved the accuracy of positioning target based on reference tags and a moving reader.The algorithm was simple but useful.Based on the performance of the prototype system,it demonstrated that the proposed system could accurately position in one of the smallest reference tag cell (within dozens of centimeters) and could be deployed easily with low cost,thus has potential application in RFID warehouse management.

Key words: RFID, indoor positioning, moving reader, reference tags

李程,钱松荣. 射频识别动态定位方法[J]. 通信学报, 2013, 34(4): 144-148.

Cheng LI,Song-rong QIAN. RFID dynamic positioning method[J]. Journal on Communications, 2013, 34(4): 144-148.

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参考文献 13

[1]	ZHOU J Y , SHI J . RFID localization algorithms and applications a review[J]. Journal of Intelligent Manufacturing, 2009,20(6): 695-707.
[2]	HIGHTOWER J , VAKILI C , BORRIELLO C , et al. Design and Calibration of the Spot on ad-hoc Location Sensing System[R]. Washing ton:Department of Computer Science and Engineering,University of Washington, Seattle,WA, 2001.
[3]	REZA A , GEOK T K , DIMYATI K . Tracking via square grid of RFID reader positioning and diffusion algorithm[J]. Wireless Personal Communications, 2011,61(1): 227-250.
[4]	HE T , HUANG C D , BLUM B M , et al. Range-free localization schemes for large scale sensor networks[A]. MobiCom'03 Proceedings of the 9th Annual International Conference on Mobile Computing and Networking[C]. 2003.
[5]	SIMICS N , SASTRY S . Distributed localization in wireless ad hoc networks[A]. Proceedings of Acoustics,Speech,and Signal Processing[C]. 2001. 2037-2040.
[6]	SONG J C , HAAS C T , CALDAS C H . A proximity-based method for locating RFID tagged objects. Advanced Engineering Informatics, 2007,21: 367-376.
[7]	NI L M , LIU Y H , LAU Y C , et al. LANDMARC:indoor location sensing using active RFID[J]. Wireless Networks, 2004,10: 701-710.
[8]	DIRK H , WOLFRAM B , DIETER F , et al. Mapping and localization with RFID technology[A]. Proceedings of the 2004 IEEE International Conference on Robotics＆Automation[C]. 2004. 1015-1020.
[9]	WANG C , WU H Y , TZENG N F , et al. RFID-based 3-D positioning schemes[A]. IEEE INFOCOM International Conference on Computer Communications[C]. 2007. 1235-1243.
[10]	ALIBERTI R , GIAMPAOLO E D , MARROCCO G . A model to estimate the RFID read-region in real environments[A]. The 38th European Microwave Conference[C]. 2008. 1711-1714.
[11]	CHEN Z N , QING X M , CHUNG H L . A universal UHF RFID reader antenna[J]. IEEE Transactions on Microwave Theory and Techniques, 2009,57(5): 1275-1282.
[12]	FITZGIBBON A W , PILU M , FISHER R B . Direct least squares fitting of ellipses[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999,21(5): 476-480.
[13]	TAUBIN G . Estimation of planar curves,surfaces and non planar space curves defined by implicit equations,with applications to edge and range image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991,13(1): 1115-1138.

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