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https://hdl.handle.net/10316/109691
Título: | Using Kalman filters to reduce noise from RFID location system | Autor: | Abreu, Pedro Henriques Xavier, José Silva, Daniel Castro Reis, Luís Paulo Petry, Marcelo |
Data: | 2014 | Editora: | Hindawi | Projeto: | iCIS Project (CENTRO- 07-ST24-FEDER-002003) which is cofinanced by QREN, in the scope of the Mais Centro Program and FEDER project INTELLWHEELS, Intelligent Wheelchair with Flexible Multimodal Interface, supported by the Portuguese Foundation for Science and Technology, with Grant no. FCT/RIPD/ADA/109636/2009 |
Título da revista, periódico, livro ou evento: | The Scientific World Journal | Volume: | 2014 | Resumo: | 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). | URI: | https://hdl.handle.net/10316/109691 | ISSN: | 2356-6140 1537-744X |
DOI: | 10.1155/2014/796279 | Direitos: | openAccess |
Aparece nas coleções: | I&D CISUC - Artigos em Revistas Internacionais FCTUC Eng.Informática - Artigos em Revistas Internacionais |
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Ficheiro | Descrição | Tamanho | Formato | |
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Using-Kalman-filters-to-reduce-noise-from-RFID-location-systemThe-Scientific-World-Journal.pdf | 4.49 MB | Adobe PDF | Ver/Abrir |
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