计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (13): 210-213.

• 信号处理 • 上一篇    下一篇

密集环境下RFID系统滤波方法研究

郭凤鸣1,2,李  兵1,2,何怡刚2   

  1. 1.湖南机电职业技术学院,长沙 410151
    2.湖南大学 电气与信息工程学院,长沙 410082
  • 出版日期:2014-07-01 发布日期:2015-05-12

Research on RFID filtering approach in dense environments

GUO Fengming1,2, LI Bing1,2, HE Yigang2   

  1. 1.Hunan Mechanical & Electrical Polytechnic, Changsha 410151, China
    2.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
  • Online:2014-07-01 Published:2015-05-12

摘要: 从海量射频识别(RFID)标签数据中滤除冗余标签信息成为RFID应用中亟需解决的问题。读滤波方法标签数据源数量大,滤波效率较低。基于阅读器读滤波算法及空中接口标签群管理方法,提出利用几何方法的空中接口滤波算法;结合读滤波及空中接口滤波算法,提出一种新的RFID系统滤波方法。利用查询概率模型及滤波时间测试方法,对所提出滤波方法进行仿真测试。测试结果表明,相较于读滤波方法,该方法滤波效率提高了50%。

关键词: 射频识别, 几何方法, 空中接口滤波, 密集环境

Abstract: It is critical to filter out the unnecessary ID data because of the huge volumes of RFID data in practical application requirements. The data source of traditional reader-filter method is extensive, which reduces system filtering efficiency. Based on the methods of reader-filter and RFID tag population management in air-protocol, a geometrical filtering algorithm for air-protocol is derived. Combining with the traditional reader-filter, a complete system filtering method is presented. Utilizing the probabilistic model of inventory operation and the means of analytical filtering time measurement, the performance of the method proposed is evaluated. The simulation results show that the novel system filtering method reduces the overall filtering time by almost 50% compared to the reader-filer technique.

Key words: Radio Frequency Identification(RFID), geometrical approach, air-protocol filtering, dense environments