Real-time localization of an UAV using Kalman filter and a Wireless Sensor Network

Osé-Luis Rullán-Lara (1) , Sergio Salazar (2) , Rogelio Lozano (1, 2)

1 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]
2 LAFMIA - Laboratoire Franco-Mexicain d'Informatique et d'Automatique

A real-time localization algorithm is presented in this paper. The algorithm presented here uses an Extended Kalman Filter and is based on time difference of arrivals (TDOA) measurements of radio signal. The position and velocity of an Unmanned Aerial Vehicle (UAV) are successfully estimated in closed-loop in real-time in both hover and path following flights. Relatively small position errors obtained from the experiments, proves a good performance of the proposed algorithm.

Domaines: Automatique

Osé-Luis Rullán-Lara, Sergio Salazar, Rogelio Lozano. Real-time localization of an UAV using Kalman filter and a Wireless Sensor Network. Journal of Intelligent and Robotic Systems, 2012, 65, pp.1-4. ⟨10.1007/s10846-011-9599-8⟩. ⟨hal-00940246⟩