Localization using ultra-wide band (UWB) signals gives accurate position results for indoor
localization. The penetrating characteristics of UWB pulses reduce the multipath effects and …

The RSSI-based location fingerprinting method is currently a hot and challenging area of
research in indoor positioning algorithms, which uses the degree of signal attenuation …

WiFi fingerprinting is one of the most widely used techniques for indoor positioning systems.
However, existing fingerprinting datasets came in different shapes and forms with varying …

The demand for a ubiquitous and accurate indoor localization service is continuously
growing. Despite the pervasive nature of cellular-based solutions, their localization quality …

Wireless fingerprinting localization method learns a map** function from a fingerprint
measurement to the estimated location, which is more suitable for complex indoor …

Location fingerprinting based on Received Signal Strength Indicator (RSSI) has become a
mainstream indoor localization technique due to its advantage of not requiring the …

The performance of localization methods based on the receiver signal strength (RSS) is
significantly affected by the signal strength indicator's (RSSI) instability. To date, there is no …

Due to recent technological developments such as online navigation, augmented reality
(AR), virtual reality (VR), and digital twins, and the high demand from users for various …

The WiFi-based indoor localization problem aims to identify the location of a user using the
signals received from surrounding wireless access points. A major approach to address this …

Recent studies on indoor positioning using Wi-Fi fingerprinting are motivated by the ubiquity
of Wi-Fi networks and their promising positioning accuracy. Machine learning algorithms are …