RLLL: Accurate Relative Localization of RFID Tags with Low Latency

Xuan Liu, Quan Yang, Shigeng Zhang, Bin Xiao
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引用次数: 7

Abstract

Radio frequency identification (RFID) has been widely used in many smart applications. In many scenarios, it is essential to know the ordering of a set of RFID tags. For example, to quickly detect misplaced books in smart libraries, we need to know the relative ordering of the tags attached to the books. Although several relative RFID localization algorithms have been proposed, they usually suffer from large localization latency and cannot support applications that require real-time detection of tag (product) positions like automatic manufacturing on an assembly line. Moreover, existing approaches face significant degradation in ordering accuracy when the tags are close to each other. In this paper, we propose RLLL, an accurate Relative Localization algorithm for RFID tags with Low Latency. RLLL reduces localization latency by proposing a novel geometry-based approach to identifying the V-zone in the phase reading sequence of each tag. Moreover, RLLL uses only the data in the V-zone to calculate relative positions of tags and thus avoids the negative effects of low-quality data collected when the tag is far from the antenna. Experimental results with commercial RFID devices show that RLLL achieves an ordering accuracy of higher than 0.986 with latency less than 0.8 seconds even when the tags are spaced only 7 mm from adjacent tags, in which case the state-of-the-art solutions only achieve ordering accuracy of lower than 0.8 with localization latency larger than 3 seconds.
rll:低延迟RFID标签的精确相对定位
射频识别技术(RFID)在许多智能应用中得到了广泛的应用。在许多情况下,了解一组RFID标签的顺序是非常重要的。例如,为了快速检测智能图书馆中放错位置的图书,我们需要知道附加在图书上的标签的相对顺序。虽然已经提出了几种相对的RFID定位算法,但它们通常存在较大的定位延迟,并且不能支持需要实时检测标签(产品)位置的应用,例如装配线上的自动制造。此外,当标签彼此接近时,现有的方法在排序精度上面临显著的下降。在本文中,我们提出了一种精确的低延迟RFID标签相对定位算法RLLL。RLLL通过提出一种新颖的基于几何的方法来识别每个标签的相位读取序列中的v区,从而减少了定位延迟。此外,RLLL只使用v区数据来计算标签的相对位置,从而避免了标签远离天线时采集到的低质量数据所带来的负面影响。商用RFID设备的实验结果表明,即使标签与相邻标签之间的间隔仅为7毫米,RLLL的排序精度也高于0.986,延迟小于0.8秒,在这种情况下,最先进的解决方案只能在定位延迟大于3秒的情况下实现低于0.8的排序精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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