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Particle filtering for indoor RFID tag tracking
Technical University of Madrid, Spain. (Signal Processing Applications Group)
Stony Brook University, USA.
University of Ottawa, Canada.
Stony Brook University, USA.
2011 (English)In: Proc. of IEEE Statistical Signal Processing Workshop (SSP), 2011, 193-196 p.Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

In this paper, we propose a particle filtering (PF) method for indoor tracking using radio frequency identification (RFID) based on aggregated binary measurements. We use an Ultra High Frequency (UHF) RFID system that is composed of a standard RFID reader, a large set of standard passive tags whose locations are known, and a newly designed, special semi-passive tag attached to an object that is tracked. This semi-passive tag has the dual ability to sense the backscatter communication between the reader and other passive tags which are in its proximity and to communicate this sensed information to the reader using backscatter modulation. We refer to this tag as a sense-a-tag (ST). Thus, the ST can provide the reader with information that can be used to determine the kinematic parameters of the object on which the ST is attached. We demonstrate the performance of the method with data obtained in a laboratory environment.

Place, publisher, year, edition, pages
2011. 193-196 p.
Keyword [en]
particle filtering, tracking, RFID, tags
National Category
Engineering and Technology Signal Processing Embedded Systems Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-81324DOI: 10.1109/SSP.2011.5967656ISBN: 978-1-4577-0569-4 (print)OAI: oai:DiVA.org:liu-81324DiVA: diva2:551611
Conference
IEEE Statistical Signal Processing Workshop (SSP), Nice, France
Available from: 2012-09-11 Created: 2012-09-11 Last updated: 2012-09-21

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Savic, Vladimir
Engineering and TechnologySignal ProcessingEmbedded SystemsControl Engineering

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
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