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Item-Level Indoor Localization With Passive UHF RFID Based on Tag Interaction Analysis
KTH, School of Information and Communication Technology (ICT), Electronic Systems. KTH, School of Information and Communication Technology (ICT), Centres, VinnExcellence Center for Intelligence in Paper and Packaging, iPACK.
KTH, School of Information and Communication Technology (ICT), Electronic Systems.ORCID iD: 0000-0003-0061-3475
KTH, School of Information and Communication Technology (ICT), Electronic Systems.
KTH, School of Information and Communication Technology (ICT), Electronic Systems.
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2013 (English)In: IEEE transactions on industrial electronics (1982. Print), ISSN 0278-0046, E-ISSN 1557-9948, Vol. 61, no 4, 2122-2135 p.Article in journal (Refereed) Published
Abstract [en]

Radio-frequency identification (RFID) with a received signal strength indicator (RSSI) is a low-cost and low-complexity approach for item-level indoor localization. Although RSSI-based algorithms suffer from multipath effect and other environmental factors, reference tags and RSSI changes can be utilized to further improve the localization accuracy. However, the current algorithms lack deep analysis of the influence of tag interaction on localization accuracy and faces the challenge of simultaneously locating multiple close targets. In this paper, we propose an analysis method about how tag interaction affects a tag antenna radiation pattern and an RSSI change. The tag interaction analysis guides us to improve the design of RSSI-based localization algorithms. We take the k-nearest neighbor (k-NN) algorithm and the Simplex algorithm as two examples. The experimental results show that the revised k-NN and the revised Simplex algorithms are robust to different numbers, spacing, and materials of target objects, and they are superior to other RFID localization schemes, considering cost, capability of simultaneous localization of multiple targets, and location estimation errors.

Place, publisher, year, edition, pages
2013. Vol. 61, no 4, 2122-2135 p.
Keyword [en]
Item-level indoor localization, passive ultrahigh frequency (UHF) radio-frequency identification (RFID), received signal strength indicator (RSSI), RSSI variance, tag interaction analysis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-120055DOI: 10.1109/TIE.2013.2264785ISI: 000326245900044Scopus ID: 2-s2.0-8488730570OAI: oai:DiVA.org:kth-120055DiVA: diva2:613262
Note

QC 20131024. Updated from Accepted to Published.

Available from: 2013-03-26 Created: 2013-03-26 Last updated: 2017-12-06Bibliographically approved
In thesis
1. Networked RFID Systems for the Internet of Things
Open this publication in new window or tab >>Networked RFID Systems for the Internet of Things
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The Internet of Things (IoT) utilizes trillions of uniquely identifiable smart objects to connect anything at anytime and anywhere. Radio frequency identification (RFID) techniques are a powerful promising enabler for realizing the IoT. Around how to build hierarchical networked RFID systems for the IoT, this dissertation formulates and addresses problems in three key areas, i.e., communication protocols, simulation approaches, and RFID applications.

Communication protocols are essential for designing high-performance networked RFID systems. First, we propose to use time hopping pulse-position modulation (TH-PPM) impulse radio ultra wideband (IR-UWB) for the tag-to-reader link. We analyze different parts of the system delay and propose relevant strategies to shorten the delay. Second, we give the concept of code division multiple access (CDMA) UWB RFID systems. We analyze the asynchronous matched filter receiver and decorrelating receiver for multi-tag detection, and propose a new communication process that fully exploits the multiple-access capability of the two detection schemes.

Simulations are widely used to evaluate the performance of wireless networks. We propose a new approach for simulating networked RFID systems with multiple wireless standards within one case in OMNeT++. It is realized by partitioning and modeling the protocol stacks of different standards and designing a multi-radio module. Moreover, we propose a CO-Simulation framework with MATLAB and OMNeT++ (COSMO). COSMO has the ability of self-validation. It combines the strengths of MATLAB and OMNeT++ by compiling prebuilt models in MATLAB to header files and shared libraries and integrating them into OMNeT++.

RFID technology gains popularity because it can be used to track and monitor objects in real time. We implement two typical networked RFID applications, i.e., wide area RFID sensor network and item-level indoor RFID localization. We design a two-layered wide area RFID sensor network for fresh food tracking. It adopts GSM/GPRS for the communication between the server and master nodes, and semi IR-UWB for the communication between master nodes and slave nodes. We develop the control platform and implement the all-in-one sensor nodes. For indoor RFID localization, we give insights about the influence of tag interaction on tag antenna radiation pattern and localization accuracy. Two examples, i.e., the k-NN algorithm and the Simplex algorithm, are taken to show how to utilize tag interaction analysis to improve the design of localization algorithms.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. xvi, 87 p.
Series
Trita-ICT-ECS AVH, ISSN 1653-6363 ; 13:06
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
SRA - ICT
Identifiers
urn:nbn:se:kth:diva-120056 (URN)978-91-7501-695-5 (ISBN)
Public defence
2013-05-07, Sal/Hall D, Forum, ICT-KTH, Isafjordsgatan 39, Kista, 09:00 (English)
Opponent
Supervisors
Note

QC 20130409

Available from: 2013-04-09 Created: 2013-03-26 Last updated: 2013-04-09Bibliographically approved

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Lu, Zhonghai

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