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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Abstract
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.
Date issued
2013-12
URI
http://hdl.handle.net/1721.1/97212
Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics; Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Journal
Proceedings of the 2013 IEEE Global Communications Conference (GLOBECOM)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
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).
Version: Author's final manuscript
ISBN
978-1-4799-1353-4
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