STPP: Spatial-Temporal Phase Profiling-Based Method for Relative RFID Tag Localization
STPP: Spatial-Temporal Phase Profiling-Based Method for Relative RFID Tag Localization
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DOI：
10.1109/tnet.2016.2590996
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发表时间：
2017-02-01
影响因子：
3.7
通讯作者：
Liu, Yunhao
中科院分区：
文献类型：
--
作者：
Shangguan, Longfei;Yang, Zheng;Liu, Yunhao
许多对象定位应用程序需要一组对象的相对位置，而不是它们的绝对位置。虽然目前已经提出了许多利用射频识别（RFID）标签进行目标定位的方案，但它们大多集中在绝对目标定位上，由于误差大和对硬件的特殊要求，不适合用于相对目标定位。在本文中，我们提出了一种称为时空相位分析（STPP）的方法来实现基于rfid的相对目标定位。STPP的基本思想是，通过将读取器移动到一组标签上，在此期间，读取器不断询问标签，对于每个标签，读取器从标签随时间的响应中获得一系列RF相位值，我们称之为相位曲线。STPP通过分析相位曲线的时空动态，计算出标签间的空间排序。与先前的绝对目标定位方案相比，STPP既不需要专用的基础设施，也不需要特殊的硬件。我们实现了STPP并在两个实际应用程序中评估了它的性能：在图书馆中查找丢失的书籍和在机场确定行李顺序。实验结果表明，该算法对错置图书的排序准确率为84%，对行李处理的排序准确率为95%。我们进一步利用可控读取器天线并升级STPP来推断每对标签之间的间距。结果表明，STPP在距离测距方面具有良好的性能。
Many object localization applications need the relative locations of a set of objects as oppose to their absolute locations. Although many schemes for object localization using radio frequency identification (RFID) tags have been proposed, they mostly focus on absolute object localization and are not suitable for relative object localization because of large error margins and the special hardware that they require. In this paper, we propose an approach called spatial-temporal phase profiling (STPP) to RFID-based relative object localization. The basic idea of STPP is that by moving a reader over a set of tags during which the reader continuously interrogating the tags, for each tag, the reader obtains a sequence of RF phase values, which we call a phase profile, from the tag's responses over time. By analyzing the spatial-temporal dynamics in the phase profiles, STPP can calculate the spatial ordering among the tags. In comparison with prior absolute object localization schemes, STPP requires neither dedicated infrastructure nor special hardware. We implemented STPP and evaluated its performance in two real-world applications: locating misplaced books in a library and determining the baggage order in an airport. The experimental results show that STPP achieves about 84% ordering accuracy for misplaced books and 95% ordering accuracy for baggage handling. We further leverage the controllable reader antenna and upgrade STPP to infer the spacing between each pair of tags. The result shows that STPP could achieve promising performance on distance ranging.