Radio channel state information (CSI) measured with many receivers is a good resource for
localizing a transmitter device with machine learning with a discriminative model. However …

Due to its high-dimensional data characteristics, the channel state information (CSI) of Wi-Fi
signals has become a strong candidate for use in indoor localization. In addition, machine …

Wi-Fi based indoor localization has attracted great interest due to its ubiquitous access in
many indoor environments. In this paper, we propose ResLoc, a deep residual sharing …

With the increasing demand of location-based services, Wi-Fi based localization has
attracted great interest because it provides ubiquitous access in indoor environments. In this …

In most indoor localization systems deployed on commodity WiFi infrastructure, channel
state information (CSI) data is usually transmitted over multiple subcarriers of different …

This paper studies a WiFi indoor localisation technique based on using a deep learning
model and its transfer strategies. We take CSI packets collected via the WiFi standard …

Indoor localization and navigation have become an increasingly important problem in both
industry and academia with the widespread use of mobile smart devices and the …

Indoor localization has gained significant attention in recent years due to its various
applications in smart homes, industrial automation, and healthcare, especially since more …

Extracting channel state information (CSI) from WiFi signals is of proved high-effectiveness
in locating human locations in a device-free manner. However, existing localization …

The universality of intelligent indoor localization based on WIFI has increasingly emerged as
a multifold challenge. However, in practical applications, its indoor localization accuracy is …