A Precise Tracking Algorithm Using PDR and Wi-Fi/iBeacon Corrections for Smartphones

Considering smartphone-based indoor localization and tracking, combination of Wi-Fi fingerprinting pedestrian dead reckoning (PDR) becomes prevalent due to wide deployment access points easily inertial measurement units (IMUs) on smartphones. Since depends the similarities between online offline received signal strengths, it suffers from fluctuation radio measurements. Meanwhile, PDR relies IMUs, which undergo accumulated errors in long walking distance. In this paper, we aim improve tracking accuracy, while filling up gap two popular Android iOS platforms. particular, propose a hybrid algorithm that integrates with Wi-Fi/iBeacon features. There are three key our paper. First, process signals build conversion functions convert related proximity distances. Besides, order support mobile introduce placement methodology for iBeacon installation specific region interest. Second, smartphone uses an improved localize itself, incorporating data estimating starting point correcting its location along path. Finally, app implement proposed scheme display visual results. Experiment results show is more robust accurate compared conventional schemes.