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Communication Dans Un Congrès Année : 2014

Accurate 2-D localization of RFID tags using antenna transmission power control

Jean-Michel Akré
  • Fonction : Auteur
Xiaofei Zhang
  • Fonction : Auteur
Sébastien Baey
Brigitte Kervella
Anne Fladenmuller
Mario Zancanaro
  • Fonction : Auteur
  • PersonId : 971443
Mauro Fonseca
  • Fonction : Auteur

Résumé

Localization of tagged objects with sufficient precision is a main issue in many industrial applications. In this paper, a new approach is proposed for the localization of UHF passive tags simply using the environment learning approach. This method uses, for a given passive tag located in a 2-D space, an aggregate function of the Received Signal Strength Indicator (RSSI) for all the possible RFID reader's transmission powers. Based on these measurements, we define a location signature, which is compared with those of other tags located at known positions in the neighborhood. We then implement a method based on the k-Nearest Neighbor (k-NN) algorithm to estimate the position of the target tag. Using a realistic test case involving seventy tags and four antennas, we show a very significant improvement of the localization accuracy in comparison with the results obtained using a single RSSI value.
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Dates et versions

hal-01212741 , version 1 (07-10-2015)

Identifiants

Citer

Jean-Michel Akré, Xiaofei Zhang, Sébastien Baey, Brigitte Kervella, Anne Fladenmuller, et al.. Accurate 2-D localization of RFID tags using antenna transmission power control. IFIP Wireless Days 2014, Nov 2014, Rio de Janeiro, Brazil. pp.1-6, ⟨10.1109/WD.2014.7020802⟩. ⟨hal-01212741⟩
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