This paper studies the indoor localisation of WiFi devices based on a commodity chipset and
standard channel sounding. First, we present a novel shallow neural network (SNN) in …

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 …

This paper propose a deep regression model for WiFi localization using received signal
strength (RSS). In the offline phase, we first construct RSS fingerprints at all grid points in a …

Passive WiFi localization refers to determining the location of WiFi-enabled mobile devices
by deploying dedicated WiFi access points to sniff WiFi packets transmitted by these mobile …

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

Robust and accurate indoor localization has been the goal of several research efforts over
the past decade. Due to the ubiquitous availability of WiFi indoors, many indoor localization …

With the unprecedented demand of location-based services in indoor scenarios, wireless
indoor localization is emerging as an essential application for mobile users. While the line-of …

Indoor localization becomes a raising demand in our daily lives. Due to the massive
deployment in the indoor environment nowadays, WiFi systems have been applied to high …

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 …

Among numerous indoor localization systems, WiFi fingerprint-based localization has been
one of the most attractive solutions, which is known to be free of extra infrastructure and …