Demands for indoor positioning based services (IPS) in commercial and military fields have
spurred many positioning systems and techniques. Complex electromagnetic environments …

The widely applied location-based services require a high standard for positioning
technology. Currently, outdoor positioning has been a great success; however, indoor …

Given the unprecedented availability of data and computing resources, there is widespread
renewed interest in applying data-driven machine learning methods to problems for which …

This article proposes recurrent neural networks (RNNs) for the WiFi fingerprinting indoor
localization. Instead of locating a mobile user's position one at a time as in the cases of …

As the technique that determines the position of a target device based on wireless
measurements, Wi-Fi localization is attracting increasing attention due to its numerous …

Domain adaptation allows knowledge from a source domain to be transferred to a different
but related target domain. Intuitively, discovering a good feature representation across …

One of the most popular approaches for indoor positioning is WiFi fingerprinting, which has
been intrinsically tackled as a traditional machine learning problem since the beginning, to …

Indoor localization of mobile nodes is receiving great interest due to the recent advances in
mobile devices and the increasing number of location-based services. Fingerprinting based …

Existing fingerprint-based indoor localization uses either fine-grained channel state
information (CSI) from the physical layer or coarse-grained received signal strength indicator …

Indoor positioning with smartphone-compatible technologies has fostered much research
attention in recent years. In this context, Bluetooth Low Energy (BLE) reveals a good …