Indoor pedestrian localization for mobile devices the model

Indoor localization using mobile devices is one of the emerging areas of today´s interest. This paper presents a model for indoor localization based on 802.11 Wi-Fi fingerprinting in combination of inertial navigation running in parallel. We introduce a novel model scheme, where we use a state-of-the-art Compass system. The system is enhanced by clustering and the position calculation is influenced by the distance travelled between each fingerprinting, allowing us to eliminate improbable location estimations. Proposed system is supposed to be resilient to received signal strength blocking caused by a human body, and also to be more accurate than other up-to-date solutions.