Opportunistic Fusion of Ranges From Different Sources for Indoor Positioning

Ultra-Wide Band (UWB) technology stands out as one of the most promising technologies for locating user in indoor scenarios new 5G mobile generation. As a drawback, it requires dense infrastructure. For this study, simulation real environment with UWB and Long Term Evolution (LTE) base stations positioning users is presented, tracked by an Extended Kalman Filter (EKF). The proposed method uses information that unusable alone, combines LTE location, improving precision latter enabling sparse infrastructure deployments.