Using Kalman Filters to Reduce Noise from RFID Location System

• Type: Article in International Scientific Journal
• Date: 2014

Authors

Pedro Henriques Abreu (Author) Other; José Xavier (Author) FEUP; Daniel Castro Silva (Author) FEUP; Luís Paulo Reis (Author) FEUP; Marcelo Petry (Author) FEUP

Journal

Title: The Scientific World Journal

Vol. 2014 No. 1

Pages: 1-9

ISSN: 2356-6140

Publisher: Hindawi

Indexing

ISI Web of Knowledge - 10 Citations

Scopus - 14 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-009-60K

DOI: 10.1155/2014/796279

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).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9