arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2003.05029eess.SP
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无源UHF-RFID标签的基于相位的变量最大似然定位

Phase-based Variant Maximum Likelihood Positioning for Passive UHF-RFID Tags

Chenglong Li, Emmeric Tanghe, David Plets, Pieter Suanet, Nico Podevijn, Jeroen Hoebeke, Eli De Poorter, Luc Martens, Wout Joseph

摘要:

射频识别(RFID)技术为物联网带来了巨大的进步,特别是在供应链和智能库存管理方面。与基于信号强度的方法相比,基于相位的无源超高频RFID标签定位方法具有对传播环境和标签对象特性不敏感的特点,因此引起了人们极大的兴趣。本文提出了一种基于相位的最大似然标签定位估计方法。为了消除相位不确定性,通过三角变换重建似然函数。构造权重以减少意外干扰的影响并增强定位性能。实验结果表明,该算法实现了标签的细粒度定位,横向定位精度达到厘米级,纵向定位精度小于15厘米。

英文摘要:

Radio frequency identification (RFID) technology brings tremendous advancement in Internet-of-Things, especially in supply chain and smart inventory management. Phase-based passive ultra high frequency RFID tag localization has attracted great interest, due to its insensitivity to the propagation environment and tagged object properties compared with the signal strength based method. In this paper, a phase-based maximum-likelihood tag positioning estimation is proposed. To mitigate the phase uncertainty, the likelihood function is reconstructed through trigonometric transformation. Weights are constructed to reduce the impact of unexpected interference and to augment the positioning performance. The experiment results show that the proposed algorithms realize fine-grained tag localization, which achieve centimeter-level lateral accuracy, and less than 15-centimeters vertical accuracy along the altitude of the racks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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