Post-processing optimization of piecewise indoor trajectories based on IMU and RSS measurements

Kersane Zoubert-Ousseni (1, 2) , Christophe Villien (2) , François Le Gland (1, 3)

1 ASPI - Applications of interacting particle systems to statistics
2 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information
3 IRMAR - Institut de Recherche Mathématique de Rennes

Post-processing indoor navigation is interesting, for example to develop crowdsourcing analysis. The post-processing framework allows to provide a better estimation than in a real-time framework. The main contribution of this paper is to present a piecewise parametrization using inertial measurement unit (IMU) and received signal strength (RSS) measurements only which lead to an optimization problem. A Levenberg-Marquardt algorithm improved with simulated annealing and an adjustment of RSS measurements data leads to a good estimation (55% of the error less than 5 meters) of the trajectory.

Domaines: Probabilités [math.PR]; Traitement du signal et de l'image [eess.SP]

Kersane Zoubert-Ousseni, Christophe Villien, François Le Gland. Post-processing optimization of piecewise indoor trajectories based on IMU and RSS measurements. Proceedings of the 8th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sep 2017, Sapporo, Japan. ⟨10.1109/IPIN.2017.8115903⟩. ⟨hal-01671149⟩