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Real time indoor tracking of tagged objects with a network of RFID readers

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

We propose a method for accurate real time indoor tracking of tagged objects in Ultra High Frequency (UHF) Radio Frequency Identification (RFID) systems. The method is based on aggregated binary measurements and a model that captures the uncertainty in the number of times that a tag is read while it is in the reading range of an RFID reader. The measurements represent numbers of readings of the tags in short time intervals. The implementation of the method is based on particle filtering and its performance is demonstrated by extensive computer simulations.

Original languageEnglish
Title of host publicationProceedings of the 20th European Signal Processing Conference, EUSIPCO 2012
Pages205-209
Number of pages5
StatePublished - 2012
Event20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest, Romania
Duration: Aug 27 2012Aug 31 2012

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference20th European Signal Processing Conference, EUSIPCO 2012
Country/TerritoryRomania
CityBucharest
Period08/27/1208/31/12

Keywords

  • binary sensors
  • particle filtering
  • Radio Frequency Identification (RFID)
  • real time tracking

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