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Using Kalman Filters to Reduce Noise from RFID Location System
Joint Authors
Henriques Abreu, Pedro
Xavier, José
Castro Silva, Daniel
Reis, Luís Paulo
Petry, Marcelo
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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).
American Psychological Association (APA)
Henriques Abreu, Pedro& Xavier, José& Castro Silva, Daniel& Reis, Luís Paulo& Petry, Marcelo. 2014. Using Kalman Filters to Reduce Noise from RFID Location System. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051066
Modern Language Association (MLA)
Henriques Abreu, Pedro…[et al.]. Using Kalman Filters to Reduce Noise from RFID Location System. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1051066
American Medical Association (AMA)
Henriques Abreu, Pedro& Xavier, José& Castro Silva, Daniel& Reis, Luís Paulo& Petry, Marcelo. Using Kalman Filters to Reduce Noise from RFID Location System. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051066
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051066