A statistical estimation analysis of indoor positioning WLAN based fingerprinting

The indoor positioning is a new topic in today's navigation and positioning research fields, which presents quite various challenging issues. A statistical approach to treat Wireless Local Area Network (WLAN) based fingerprinting using Received Signal Strengths (RSS) is described here. This study structures this approach as a time-series of the RSS and position data. Kalman filter is applied in order to improve the position prediction based on the measured RSS signal.