Ngewi Fet, Marcus Handte, Pedro José Marrón: An Approach for Autonomous Recalibration of Fingerprinting-based Indoor Localization Systems
In this paper, we propose an approach to recalibration of indoor localization systems using the system infrastructure for periodically detecting changes in the signal characteristics and autonomously recalibrating the fingerprint radio map. We demonstrate that we can reliably detect changes in signal characteristics stemming from the dampening of a signal source (e.g. induced by moving of furniture) and recalibrate the localization system with an accuracy of 83% to 93% of the optimum localization performance achievable through manual system recalibration.
12th International Conference on Intelligent Environments, London, United Kingdom, Sep 14th – 16th 2016. Find more Information here.
Paper accepted at the 12th International Conference on Intelligent Environments