系统工程与电子技术 ›› 2019, Vol. 41 ›› Issue (11): 2439-2445.doi: 10.3969/j.issn.1001-506X.2019.11.06

• 电子技术 • 上一篇    下一篇

基于SAW RFID系统的标签距离估计

RUAN Jingping, SHI Ruchuan, YANG Yang, HAN Tao   

  1. 上海交通大学电子信息与电气工程学院, 上海 200240
  • 出版日期:2019-10-30 发布日期:2019-11-04

Range estimation of tags based on SAW RFID system

阮静平, 史汝川, 杨扬, 韩韬   

  1. School of Electronic Information and Electrical Engineering, Shanghai
    Jiao Tong University, Shanghai 200240, China
  • Online:2019-10-30 Published:2019-11-04

摘要: 射频识别技术(radio frequency identification,RFID)在室内定位领域得到广泛的关注及应用。距离估计是实现RFID室内定位的重要基础。将基于多频相位差和中国余数定理的融合方法应用于声表面波(surface acoustic wave,SAW) RFID技术,实现了标签的无模糊距离估计。分析了该方法在SAW RFID系统中实现距离估计所面临的主要误差来源及相应的修正方法。通过仿真实验,得到该方法在理论上要实现高稳定性及高精度的距离估计,则SAW RFID阅读器系统的模糊相位测量误差应不超过3°的系统指标要求。最后,通过实验验证了该方法在SAW RFID系统中的可实现性,结果表明所研制的系统当前能达到的距离估计均方根误差为16.7 cm。

关键词: 声表面波, 多频相位差, 中国余数定理, 射频识别标签, 距离估计

Abstract: Radio frequency identification (RFID) technology has been widely concerned and applied in the field of indoor positioning. Range estimation is the important basis to realize RIFD indoor positioning. In this paper, the fusion method based on multi-frequency phase difference and Chinese remainder theorem (CRT) is applied in surface acoustic wave (SAW) RFID technology for the first time. The unambiguous range estimation is realized. The main error sources and corresponding correction methods of the method to realize range estimation in the SAW RIFD system are analyzed. Through simulation experiments, it is found that the ambiguous phase measurement error of the SAW RFID reader system should not exceed the system index requirement of 3° in theory to achieve high stability and high precision range estimation. Finally, the realization of the method in the SAW RFID system is verified by experiments, and the results show that the root mean square error of range estimation of the current system is 16.7 cm.


Key words: surface acoustic wave (SAW), multi-frequency phase difference, Chinese remainder theorem (CRT), radio frequency identification (RFID) tag, range estimation