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Accurate Localization Using Augmented UHF RFID System for Internet-of-Things

Authors:
Jing Wang
Miodrag Bolic

Keywords: Internet-of-Things, augmented UHF RFID system, indoor localization, WCL, Monte Carlo estimation.

Abstract:
This work addresses the problem of accurate indoor localization with an augmented ultra-high-frequency (UHF) radio-frequency-identification (RFID) system. In augmented UHF RFID system, a semi-passive component, called ST (from sense-a-tag), can communicate with the RFID reader as a passive tags, and can also capture the backscattering communication between RFID reader and passive tags within its proximity. The system requires that a grid of passive RFID tags is deployed and ST is attached to object of interest. As such it allows for fine-grained proximity-based localization. ST is localized based on the aggregated binary measurements according to localization algorithms, such as weighted centroid localization (WCL). The aforementioned algorithm assumes that the aggregated binary measurements simply depends on the distance between landmark tags and ST. However, it is not the case for ST-to-tag backscattering communication. To improve the localization accuracy, this paper proposes to use a Monte Carlo-based estimation with the detection probability model of ST-to-tag. The performance of the proposed algorithm is demonstrated by extensive computer simulation.

Pages: 107 to 112

Copyright: Copyright (c) IARIA, 2017

Publication date: July 23, 2017

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-61208-572-2

Location: Nice, France

Dates: from July 23, 2017 to July 27, 2017