Wi-Fi positioning techniques for location based services

Abstract

Location-aware computing becomes an exciting research as recent advancements in RF circuits and wireless communication stacks. In this thesis, we present a fingerprinting based location assessment. The proposed method uses WLAN signal Strength to estimate the global position of mobile users in an indoor environments. The system uses the signal strength from several base stations rather than angle for determining the location of mobile station. The project deal with two algorithms to calibrate signals received from access points and stored it in the radio map (fingerprinting) is called calibration phase. In localization phase the stored values are compared with calibrate one to predict the user locations. Therefore a fingerprinting algorithm that was introduced is used to improvement of the presented work and with multi sensors which enhance the accuracy of fingerprinting algorithms and tracking of the users.