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http://dx.doi.org/10.5515/KJKIEES.2009.20.9.954

Indoor Positioning System Using Robust Outlier Extended Kalman Filter  

Kim, Dong-Seon (Department of Electronic Computer Communication Engineering, Hanyang University)
Yeom, Hak-Sun (Department of Electronic Computer Communication Engineering, Hanyang University)
Kim, Sun-Woo (Department of Electronic Computer Communication Engineering, Hanyang University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.20, no.9, 2009 , pp. 954-960 More about this Journal
Abstract
In this paper, Indoor Positioning System based on Wi-Fi system which is one of the key technology in LBS(Location Based Service) is proposed. The proposed system estimates distance between MS(Mobile Station) and AP(Access Point) using RSSI(Received Signal Strength Indicator). RSSI is affected by outlier that originate from indoor environment complexity and obstacle. In this paper, we introduce a Robust outlier Extended Kalman Filter that can ignore, real-time outlier in the observations. To demonstrate performance of proposed indoor positioning system, we used a PDA as the MS.
Keywords
Indoor Positioning System; RSSI; EKF; Outlier;
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