Online Map Matching for Passive Indoor Positioning Systems

Passive indoor positioning systems (PIPS) enable non-invasive tracking of mobile devices (e.g., smartphones, Wi-Fi tags) using enterprise network infrastructure. This empowers operators of large airports and retail facilities to optimize costintensive resource allocation as well as to provide locationbased services to their customers such as geo-fencing and proximity marketing. However, existing PIPS often generate noisy location estimates due to unpredictable interference and attenuation of wireless signals in indoor environments. To address this problem, we propose a novel map matching approach that uses a floor map to constrain location estimates to possible paths a mobile user can take.