Extended Kalman filter for a low cost TDoA/IMU pedestrian localization system

@article{Lategahn2014ExtendedKF,
  title={Extended Kalman filter for a low cost TDoA/IMU pedestrian localization system},
  author={Julian Lategahn and Marcel M{\"u}ller and Christof R{\"o}hrig},
  journal={2014 11th Workshop on Positioning, Navigation and Communication (WPNC)},
  year={2014},
  pages={1-6}
}
Pedestrian localization systems require the knowledge of a user's position for manifold applications in indoor and outdoor environments. For this purpose several methods can be used, such as a Global Navigation Satellite System (GNSS) or an Inertial Navigation Systems (INS). Since GNSS are not available in indoor environments or street canyons a Time… CONTINUE READING