Trio: Utilizing Tag Interference for Refined Localization of Passive RFID
Trio: Utilizing Tag Interference for Refined Localization of Passive RFID
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DOI：
10.1109/infocom.2018.8486313
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发表时间：
2018-04
期刊：
影响因子：
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通讯作者：
H. Ding;Jinsong Han;Chen Qian;Fu Xiao;Ge Wang;Nan Yang;Wei Xi;Jian Xiao
中科院分区：
文献类型：
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作者：
H. Ding;Jinsong Han;Chen Qian;Fu Xiao;Ge Wang;Nan Yang;Wei Xi;Jian Xiao
本文研究了一个新的问题--精化定位。假定对象位于相对较小的区域(如桌子表面)，精细定位可高精度地计算对象的位置。精确的定位在许多网络物理系统中都很有用，例如工业自主机器人。现有的基于视觉的方法存在一些缺点，包括良好的光照条件、视线、预学习过程和较高的计算开销。此外，基于视觉的方法无法区分具有相似颜色和形状的对象。本文提出了一种新的精细化定位系统，称为TRIO，它使用无源射频识别(RFID)标签来实现低成本和易部署。TRIO通过对耦合标签的等效电路进行建模，为利用射频干扰进行标签定位提供了一个新的角度。我们使用商用现成的RFID读取器和标签来实现我们的原型。大量的实验结果表明，Trio算法有效地达到了较高的定位精度，即对几种主流标签的定位误差为<；1厘米。
We study a new problem, refined localization, in this paper. Refined localization calculates the location of an object in high precision, given that the object is in a relatively small region such as the surface of a table. Refined localization is useful in many cyber-physical systems such as industrial autonomous robots. Existing vision-based approaches suffer from several disadvantages, including good lighting conditions, line of sight, pre-learning process, and high computation overhead. Also vision-based approaches cannot differentiate objects with similar colors and shapes. This paper presents a new refined localization system, called Trio, which uses passive Radio Frequency Identification (RFID) tags for low cost and easy deployment. Trio provides a new angle to utilize RF interference for tag localization by modeling the equivalent circuits of coupled tags. We implement our prototype using commercial off-the-shelf RFID reader and tags. Extensive experiment results demonstrate that Trio effectively achieves high accuracy of refined localization, i.e., < 1 cm errors for several types of main stream tags.