Accurate Signal Strength Prediction based Positioning for Indoor WLAN Systems

Anvar Narzullaev, Yongwan Park and Hoyoul Jung

Abstract:	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. Considering time consuming properties of calibration process some researchers are proposed to use of propagation models to predict signal strength to build a RSSI database [2][3]. However in practice Real-Time Location Systems (RTLS) based on RSSI prediction have demonstrated very low accuracy compared to calibration based RTLSs [2]. In this research we propose optimized calibration procedure for RSSI based RTLSs. Proposed algorithm combines calibration procedure with fingerprint prediction, as result we got more accurate yet time effective calibration algorithm. Our results show that proposed algorithm sufficiently reduces the calibration time and provides location accuracy comparable to that of calibration based RTLSs.
Published in:	Proceedings of IEEE/ION PLANS 2008 May 6 - 8, 2008 Hyatt Regency Hotel Monterey, CA
Pages:	685 - 688
Cite this article:	Narzullaev, Anvar, Park, Yongwan, Jung, Hoyoul, "Accurate Signal Strength Prediction based Positioning for Indoor WLAN Systems," Proceedings of IEEE/ION PLANS 2008, Monterey, CA, May 2008, pp. 685-688. https://doi.org/10.1109/PLANS.2008.4569989
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