Path-loss model of embroidered passive RFID tag on human body for indoor positioning applications

2014 IEEE RFID Technology and Applications Conference (RFID-TA) Pub Date : 2014-10-23 DOI:10.1109/RFID-TA.2014.6934222

M. Hasani, E. Lohan, L. Sydänheimo, L. Ukkonen

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引用次数: 15

Abstract

This paper presents a novel method for accurate indoor localization, utilizing the embroidered passive Radio Frequency Identification (RFID) tags. The feasibility of RFID tags for positioning and localization applications is studied here and a comparison to WLAN system is done. An indoor localization system based on the received signal strength (RSS) measurement requires the determination of the suitable path-loss model of the measurement environment for creating a low complexity positioning estimators. In this paper the path-loss model and its parameters, using an embroidered passive RFID tag is introduced. The backscattered power measurement of the embroidered passive tag on human body, for certain measurement points, in indoor environment, is performed. The path-loss model is calculated utilizing the collected RSS data and deconvolution approaches. We show that the RFID RSS values are slightly more stable than the WLAN RSS values (i.e., lower shadowing variance) and that the two-parameter path-loss models are suitable to characterize the RFID RSS fluctuations.

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用于室内定位的人体刺绣无源RFID标签路径损耗模型

本文提出了一种利用绣花无源射频识别(RFID)标签进行室内精确定位的新方法。研究了RFID标签在定位和定位应用中的可行性，并与WLAN系统进行了比较。基于接收信号强度(RSS)测量的室内定位系统需要确定合适的测量环境路径损耗模型，以创建低复杂度的定位估计器。本文介绍了绣花无源RFID标签的路径损耗模型及其参数。在室内环境下，对特定测量点进行了绣花被动标签在人体上的后向散射功率测量。利用收集的RSS数据和反卷积方法计算路径损失模型。我们发现RFID的RSS值比WLAN的RSS值更稳定(即，更低的阴影方差)，并且双参数路径损耗模型适用于表征RFID RSS波动。

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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2014 IEEE RFID Technology and Applications Conference (RFID-TA)

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