系统仿真学报 ›› 2018, Vol. 30 ›› Issue (11): 4484-4491.doi: 10.16182/j.issn1004731x.joss.201811052

• 仿真应用工程 • 上一篇    下一篇

融合ZigBee的改进射频识别室内定位算法研究

严大虎, 徐杨杰   

  1. 江南大学 物联网技术应用教育部工程研究中心,无锡 214122
  • 收稿日期:2018-06-11 修回日期:2018-07-05 发布日期:2019-01-04
  • 作者简介:严大虎(1974-),男,江苏无锡,硕士,副教授,研究方向为制造业信息化;徐杨杰(1992-),男,江苏盐城,硕士生,研究方向为RFID定位算法。
  • 基金资助:
    江苏省产学研联合创新资金-前瞻性联合研究项目(BY2016022-24)

Indoor Positioning Algorithm Based on ZigBee and Improved Radio Frequency Identification

Yan Dahu, Xu Yangjie   

  1. Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Wuxi 214122, China
  • Received:2018-06-11 Revised:2018-07-05 Published:2019-01-04

摘要: 针对传统的RFID定位方案依赖网络,定位过程中受到识别距离限制以及VIRE算法精度不高等问题,提出了一种基于Zig Bee与改进VIRE的RFID室内定位算法。该算法引入Zig Bee节点实现组建网络完成信息传输,以代替传统的有线通信;采用高斯卡尔曼滤波对有限预选参考点的信号强度采样数据进行预处理;采用信号传播损耗模型计算虚拟参考标签的RSS值,使其更接近于真实标签的值。估算待测标签位置时引入动态阈值的思想完成定位。实验结果表明,该算法精度优于传统的RFID定位方法,提高了室内定位方法的工作效率。

关键词: RFID, Zig Bee, 高斯卡尔曼滤波, 动态阀值, 改进VIRE算法

Abstract: Since the traditional RFID positioning technology relies on the Internet and is especially constrained by the positioning distance in the process of positioning the tags with poor positioning accuracy, a novel positioning algorithm is proposed based on the ZigBee and improved VIRE algorithm. By using the proposed algorithm, ZigBee nodes are adopted to achieve the formation of network information transmission to replace the traditional wired communication. Gaussian-Kalman filter is used to deal with the sampling data of the limited preselected reference node signal strength. The algorithm adopts signal propagation loss model to calculate the RSSI values of virtual reference tags, so as to be more close to the values of real tags. The Dynamic threshold is employed to predict the positioned tags. Simulation results show that compared with the traditional RFID method, the proposed algorithm performs better in terms of positioning accuracy, which improves working efficiency of the indoor positioning method.

Key words: RFID, ZigBee, Gaussian-Kalman filter, adaptive threshold, improved VIRE algorithm

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