Novel calibration algorithm for received signal strength based indoor real-time locating systems

Authors: A. Narzullaev, Yongwan Park

Abstract:
Fingerprinting is a popular technology for indoor WLAN based locating systems. Received signal strength information from different access points is used to estimate the location of mobile users. One of the drawbacks of fingerprinting algorithm is the extensive and time-consuming calibration (training) phase, during which the received signal strength measurements from nearby wireless access points are gathered at pre-defined reference spots and stored in a database to build a prior radio signal strength map of the region.
     In this manuscript, we present a new, precise and time efficient calibration algorithm that combines the reference data collection procedure with the path-loss prediction model. Our algorithm requires only a few samples to be measured in a given region, and thus significantly reduces the calibration time; the rest of the signal strength database is then estimated by using path-loss prediction model. We carefully evaluate the proposed algorithm through a real-world experiment. Field test results show that our new approach reduces the calibration time without harming the location accuracy of the locating system.

Keywords:
Location fingerprinting
Location based services
WLAN
RSSI
RTLS

Published in: AEÜ-International Journal of Electronics and Communications (Volume 67, Issue 7, July  2013)

Publisher: Elsevier

ISSN Information: 1434-8411

Novel calibration algorithm for received signal strength based indoor real-time locating systems

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