Π8: Indoor Positioning System using WLAN Received Signal Strength Measurements

In this deliverable we provide the details of building an indoor positioning system using WLAN Received Signal Strength (RSS) fingerprints. The positioning system has been deployed at the premises of KIOS Research Center and follows a terminal-based-network-assisted architecture. In our case, users that carry a terminal (Tablet PC) are able to self-locate and positioning is performed entirely on the device using the observed RSS fingerprint. Currently, one positioning method, i.e. K-Nearest Neighbors (KNN) and one filtering method, i.e. Kalman filter, has been integrated into our positioning platform. In the future we plan to implement and integrate more positioning and filtering modules, while at the same time try to improve the performance with respect to the positioning error by tweaking and fine-tuning both modules.