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Computer Engineering ›› 2012, Vol. 38 ›› Issue (14): 276-279. doi: 10.3969/j.issn.1000-3428.2012.14.082

• Networks and Communications • Previous Articles     Next Articles

Analysis and Simulation of RFID Location Method Oriented to Indoor Environment

LI Jun-huai, ZHANG Guo-mou, YU Lei, ZHANG Jing   

  1. (School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China)
  • Received:2011-12-21 Online:2012-07-20 Published:2012-07-20

面向室内环境的RFID定位方法分析与仿真

李军怀,张果谋,于 蕾,张 璟   

  1. (西安理工大学计算机科学与工程学院,西安 710048)
  • 作者简介:李军怀(1969-),男,教授、博士,主研方向:物联网技术,网络计算;张果谋,硕士研究生;于 蕾,讲师、硕士;张 璟,教授
  • 基金资助:
    国家自然科学基金资助项目(61172018);陕西省科技攻关计划基金资助项目(2009K08-24, 2011NXC01-12);陕西省教育厅科 技基金资助项目(09JK659, 2010JC15);西安市科技基金资助项目(CXY09020)

Abstract: This paper analyzes two classic indoor location methods based on Radio Frequency Identification(RFID), LANDMARC and VIRE, and presents a location method based on the virtual reference label space. It constructs Virtual Reference Tag Space(VRTS), real reference tags and readers in location space. In the method which uses K-nearest Neighbor(KNN) to locate coordinates, it brings in Q-function to calculate the weight of each neighbor. It reduces the shadow effect caused by normal random variable-standard deviation. Experimental results show that this method can decrease the location error greatly, and make the deployment of reference tags flexible.

Key words: Radio Frequency Identification(RFID), indoor location, Virtual Reference Tag Space(VRTS), Received Signal Strength Indicator(RSSI)

摘要: 通过分析2种经典室内无线射频识别定位方法LANDMARC和VIRE,提出一种基于虚拟参考标签空间的定位方法。在定位区域中构建虚拟参考标签空间、实体参考标签和读写器结合的定位空间,并在采用K近邻方法进行定位坐标的计算中,引入Q-function计算每个邻居的权值,减小正态随机变量标准差带来的阴影效应。实验结果表明,该方法具有灵活的设备部署方式以及较高的定位精度。

关键词: 无线射频识别, 室内定位, 虚拟参考标签空间, 接收信号强度指示器

CLC Number: