The deep learning technique plays an important role in Wi-Fi localization systems as it could
mine deep features of measurement data. The main challenges are to combat the signal …

Indoor location awareness enables many location-based services, such as smart homes or
smart offices. The huge amount of sensor data collected by nowadays' smartphones …

Techniques for indoor positioning systems (IPSs) can be categorized as range-based or
range-free. Range-based methods rely on geometric mappings to approximate a location …

Abstract Wireless Local Area Network (WLAN) Fingerprinting-based Indoor Positioning
Systems (IPS) offer several key advantages over other indoor positioning technologies …

At present, there has been a booming interest in utilizing Channel State Information (CSI)
extracted from MIMO-OFDM PHY layer to achieve precise indoor localization. Compared …

Fingerprinting systems based on channel state information (CSI) often rely on updated
databases to achieve indoor positioning with high accuracy and resolution of centimeter …