Multi-Sensor Wireless Location System with Extended Kalman Filter

The ability to determine the position of a device has fundamental importance in context-aware and location dependent mobile computing. Most previously proposed location systems may not be appropriate for nomadic applications such as home service robots due to low update rate and insufficient accuracy. In this paper, we propose a multi-sensor wireless location system that provides accurate location for nomadic applications. We employ advanced algorithms like an extended Kalman filter (EKF) to achieve high accuracy and fast update rate. The performance of the proposed location system is confirmed by experimental results.