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The Scientific World Journal
Volume 2014, Article ID 796279, 9 pages
Research Article

Using Kalman Filters to Reduce Noise from RFID Location System

1Department of Informatics Engineering, University of Coimbra/Centre for Informatics and Systems, University of Coimbra, Pólo II, Pinhal de Marrocos, 3030-290 Coimbra, Portugal
2Department of Informatics Engineering, Faculty of Engineering, University of Porto/LIACC-Artificial Intelligence and Computer Science Laboratory, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
3Department of Information Systems, School of Engineering, University of Minho/LIACC-Artificial Intelligence and Computer, Science Laboratory, Campus de Azurm, 4800-058 Guimares, Portugal

Received 29 August 2013; Accepted 27 November 2013; Published 27 January 2014

Academic Editors: G. R. Amin, H. Chen, and F. Di Martino

Copyright © 2014 Pedro Henriques Abreu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • K. K. L. B. Adikaram, M. A. Hussein, M. Effenberger, and T. Becker, “Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression,” The Scientific World Journal, vol. 2014, pp. 1–12, 2014. View at Publisher · View at Google Scholar
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  • Abdulkadir Eryildirim, and Mehmet Burak Guldogan, “A Bernoulli Filter for Extended Target Tracking Using Random Matrices in a UWB Sensor Network,” IEEE Sensors Journal, vol. 16, no. 11, pp. 4362–4373, 2016. View at Publisher · View at Google Scholar
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  • Victor Plácido da Conceição, José Vieira Duque, and M. Filomena Teodoro, “Kalman filtering applied to low-cost navigation systems: A preliminary approach,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10961, pp. 509–524, 2018. View at Publisher · View at Google Scholar