Using Kalman Filters to Reduce Noise from RFID Location System

Nowadays, there are many technologies that support location systems involving intrusive and nonintrusive equipment and also varying in terms of precision, range, and cost. However, the developers some time neglect the noise introduced by these systems, which prevents these systems from...

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Main Authors:	Pedro Henriques Abreu, José Xavier, Daniel Castro Silva, Luís Paulo Reis, Marcelo Petry
Format:	Article
Language:	English
Published:	Hindawi Limited 2014-01-01
Series:	The Scientific World Journal
Online Access:	http://dx.doi.org/10.1155/2014/796279

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spelling	doaj-fe0e08a56e3e4f48a09d2f6a1c586b812020-11-25T02:15:33ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/796279796279Using Kalman Filters to Reduce Noise from RFID Location SystemPedro Henriques Abreu0José Xavier1Daniel Castro Silva2Luís Paulo Reis3Marcelo Petry4Department of Informatics Engineering, University of Coimbra/Centre for Informatics and Systems, University of Coimbra, Pólo II, Pinhal de Marrocos, 3030-290 Coimbra, PortugalDepartment of Informatics Engineering, Faculty of Engineering, University of Porto/LIACC-Artificial Intelligence and Computer Science Laboratory, Rua Dr. Roberto Frias, 4200-465 Porto, PortugalDepartment of Informatics Engineering, Faculty of Engineering, University of Porto/LIACC-Artificial Intelligence and Computer Science Laboratory, Rua Dr. Roberto Frias, 4200-465 Porto, PortugalDepartment of Information Systems, School of Engineering, University of Minho/LIACC-Artificial Intelligence and Computer, Science Laboratory, Campus de Azurm, 4800-058 Guimares, PortugalDepartment of Informatics Engineering, Faculty of Engineering, University of Porto/LIACC-Artificial Intelligence and Computer Science Laboratory, Rua Dr. Roberto Frias, 4200-465 Porto, PortugalNowadays, there are many technologies that support location systems involving intrusive and nonintrusive equipment and also varying in terms of precision, range, and cost. However, the developers some time neglect the noise introduced by these systems, which prevents these systems from reaching their full potential. Focused on this problem, in this research work a comparison study between three different filters was performed in order to reduce the noise introduced by a location system based on RFID UWB technology with an associated error of approximately 18 cm. To achieve this goal, a set of experiments was devised and executed using a miniature train moving at constant velocity in a scenario with two distinct shapes—linear and oval. Also, this train was equipped with a varying number of active tags. The obtained results proved that the Kalman Filter achieved better results when compared to the other two filters. Also, this filter increases the performance of the location system by 15% and 12% for the linear and oval paths respectively, when using one tag. For a multiple tags and oval shape similar results were obtained (11–13% of improvement).http://dx.doi.org/10.1155/2014/796279
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Pedro Henriques Abreu José Xavier Daniel Castro Silva Luís Paulo Reis Marcelo Petry
spellingShingle	Pedro Henriques Abreu José Xavier Daniel Castro Silva Luís Paulo Reis Marcelo Petry Using Kalman Filters to Reduce Noise from RFID Location System The Scientific World Journal
author_facet	Pedro Henriques Abreu José Xavier Daniel Castro Silva Luís Paulo Reis Marcelo Petry
author_sort	Pedro Henriques Abreu
title	Using Kalman Filters to Reduce Noise from RFID Location System
title_short	Using Kalman Filters to Reduce Noise from RFID Location System
title_full	Using Kalman Filters to Reduce Noise from RFID Location System
title_fullStr	Using Kalman Filters to Reduce Noise from RFID Location System
title_full_unstemmed	Using Kalman Filters to Reduce Noise from RFID Location System
title_sort	using kalman filters to reduce noise from rfid location system
publisher	Hindawi Limited
series	The Scientific World Journal
issn	2356-6140 1537-744X
publishDate	2014-01-01
description	Nowadays, there are many technologies that support location systems involving intrusive and nonintrusive equipment and also varying in terms of precision, range, and cost. However, the developers some time neglect the noise introduced by these systems, which prevents these systems from reaching their full potential. Focused on this problem, in this research work a comparison study between three different filters was performed in order to reduce the noise introduced by a location system based on RFID UWB technology with an associated error of approximately 18 cm. To achieve this goal, a set of experiments was devised and executed using a miniature train moving at constant velocity in a scenario with two distinct shapes—linear and oval. Also, this train was equipped with a varying number of active tags. The obtained results proved that the Kalman Filter achieved better results when compared to the other two filters. Also, this filter increases the performance of the location system by 15% and 12% for the linear and oval paths respectively, when using one tag. For a multiple tags and oval shape similar results were obtained (11–13% of improvement).
url	http://dx.doi.org/10.1155/2014/796279
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Using Kalman Filters to Reduce Noise from RFID Location System

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