RFID indoor positioning based on probabilistic RFID map and Kalman Filtering

Abdelmoula Bekkali*, Horacio Sanson, Mitsuji Matsumoto

*この研究の対応する著者

研究成果: Conference contribution

193 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007
DOI
出版ステータスPublished - 2007
イベント3rd IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2007 - White Plains, NY
継続期間: 2007 10 82007 10 10

Other

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

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 通信
  • 電子工学および電気工学

フィンガープリント

「RFID indoor positioning based on probabilistic RFID map and Kalman Filtering」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル