Accurate signal strength prediction based positioning for indoor WLAN systems

With development of IEEE802.11 based wireless local area networks (WLAN) there are several techniques to provide an accurate estimation of the location of mobile devices in indoor environment were presented. As the only available information at receiver side is the received signal strength indication (RSSI) from each WLAN access points (AP), technique called RSSI fingerprinting was proposed [1]. However one of the main drawbacks of RSSI based location is the extensive calibration phase to build a signal fingerprint.

[1]  Henry Tirri,et al.  A Probabilistic Approach to WLAN User Location Estimation , 2002, Int. J. Wirel. Inf. Networks.

[2]  Hisashi Kobayashi,et al.  Signal strength based indoor geolocation , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[3]  Martin Klepal,et al.  Influence of Predicted and Measured Fingerprint on the Accuracy of RSSI-based Indoor Location Systems , 2007, 2007 4th Workshop on Positioning, Navigation and Communication.

[4]  Juha-Pekka Makela,et al.  Indoor geolocation science and technology , 2002, IEEE Commun. Mag..

[5]  V. Padmanabhan,et al.  Enhancements to the RADAR User Location and Tracking System , 2000 .

[6]  Franco Mazzenga,et al.  Channel models for IEEE 802.11b indoor system design , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).