RFID indoor positioning based on probabilistic RFID map and Kalman Filtering

Abdelmoula Bekkali, Horacio Sanson, Mitsuji Matsumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

157 Citations (Scopus)

Abstract

Radio Frequency Identification (RFID) is a rapidly developing technology which uses wireless communication for automatic identification of objects. The localization of RFID tagged objects in their environment is becoming an important feature for the ubiquitous computing applications. In This paper we introduce a new positioning algorithm for RFID tags using two mobile RFID readers and landmarks which are passive or active tags with known location and distributed randomly. We present an analytical method for estimating the location of the unknown tag by using the multilateration with the landmarks and a probabilistic RFID map-based technique with Kalman Filtering to enhance the location estimation of the tag. This algorithm is independent from the readers coordinates, and hence it can be more practical due to its mobility and its low cost to achieve a high deployment of this emerging technology. Results obtained after conducting extensive simulations demonstrate the validity and suitability of the proposed algorithm to provide high performance level in terms of accuracy and scalability.

Original languageEnglish
Title of host publication3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007
DOIs
Publication statusPublished - 2007
Event3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007 - White Plains, NY
Duration: 2007 Oct 82007 Oct 10

Other

Other3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007
CityWhite Plains, NY
Period07/10/807/10/10

Fingerprint

Radio frequency identification (RFID)
radio
Ubiquitous computing
Scalability
Identification (control systems)
Communication
simulation
communication
Costs
costs
performance

Keywords

  • Indoor location estimation
  • Kalman filtering
  • Probabilistic map matching
  • RFID

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication
  • Electrical and Electronic Engineering

Cite this

Bekkali, A., Sanson, H., & Matsumoto, M. (2007). RFID indoor positioning based on probabilistic RFID map and Kalman Filtering. In 3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007 [4390815] https://doi.org/10.1109/WIMOB.2007.4390815

RFID indoor positioning based on probabilistic RFID map and Kalman Filtering. / Bekkali, Abdelmoula; Sanson, Horacio; Matsumoto, Mitsuji.

3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007. 2007. 4390815.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bekkali, A, Sanson, H & Matsumoto, M 2007, RFID indoor positioning based on probabilistic RFID map and Kalman Filtering. in 3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007., 4390815, 3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007, White Plains, NY, 07/10/8. https://doi.org/10.1109/WIMOB.2007.4390815
Bekkali A, Sanson H, Matsumoto M. RFID indoor positioning based on probabilistic RFID map and Kalman Filtering. In 3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007. 2007. 4390815 https://doi.org/10.1109/WIMOB.2007.4390815
Bekkali, Abdelmoula ; Sanson, Horacio ; Matsumoto, Mitsuji. / RFID indoor positioning based on probabilistic RFID map and Kalman Filtering. 3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007. 2007.
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