A smartphone localization algorithm using RSSI and inertial sensor measurement fusion
Author(s)Li, William Wei-Liang; Iltis, Ronald A.; Win, Moe Z.
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Indoor navigation using the existing wireless infrastructure and mobile devices is a very active research area. The major challenge is to leverage the extensive smartphone sensor suite to achieve location tracking with high accuracy. In this paper, we develop a navigation algorithm which fuses the WiFi received signal strength indicator (RSSI) and smartphone inertial sensor measurements. A sequential Monte Carlo filter is developed for inertial sensor based tracking, and a radiolocation algorithm is developed to infer mobile location based on RSSI measurements. The simulation results show that the proposed algorithm significantly outperforms the extended Kalman filter (EKF), and achieves competitive location accuracy compared with the round trip time (RTT) based ultra-wideband (UWB) system.
DepartmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics; Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Proceedings of the 2013 IEEE Global Communications Conference (GLOBECOM)
Institute of Electrical and Electronics Engineers (IEEE)
Li, William Wei-Liang, Ronald A. Iltis, and Moe Z. Win. “A Smartphone Localization Algorithm Using RSSI and Inertial Sensor Measurement Fusion.” 2013 IEEE Global Communications Conference (GLOBECOM) (December 2013).
Author's final manuscript