An Opportunistic Indoors Positioning Scheme Based on Estimated Positions

Guodong Kang (1) , Tanguy Pérennou (1, 2) , Michel Diaz (2)

1 ISAE-SUPAERO - Institut Supérieur de l'Aéronautique et de l'Espace
2 LAAS - Laboratoire d'analyse et d'architecture des systèmes

The localization requirements for mobile nodes in wireless (sensor) networks are increasing. However, most research works are based on range measurements between nodes which are often oversensitive to the measurement error. In this paper we propose a location estimation scheme based on moving nodes that opportunistically exchange known positions. The user couples a linear matrix inequality (LMI) method with a barycenter computation to estimate its position. Simulations have shown that the accuracy of the estimation increases when the number of known positions increases, the radio range decreases and the node speeds increase. The proposed method only depends on a maximum RSS threshold to take into account a known position, which makes it robust and easy to implement. To obtain an accuracy of 1 meter, a user may have to wait at the same position for 5 minutes, with 8 pedestrians moving within range on average.

Mots clés: LMI; localization; indoors

Domaines: Sciences de l'information et de la communication

Guodong Kang, Tanguy Pérennou, Michel Diaz. An Opportunistic Indoors Positioning Scheme Based on Estimated Positions. IEEE Symposium on Computers and Communications, 2009. ISCC 2009., Jul 2009, Sousse, Tunisia. pp.844-850, ⟨10.1109/ISCC.2009.5202295⟩. ⟨hal-00388801⟩