Various machine learning techniques on indoor localization using radio signals are being
rapidly developed to achieve a sub-meter accuracy under noisy and complex environments …

Indoor location information plays a fundamental role in supporting various interesting
location-aware indoor applications. Widely deployed WiFi networks make it feasible to …

Most existing fingerprints-based indoor localization approaches are based on some single
fingerprint, such as received signal strength (RSS), channel impulse response, and signal …

Fingerprint-based localization has gained significant commercial value in recent years and
have brought new opportunities to location-based services in indoor environments. Existing …

Many recent papers have directed attention to wireless indoor localization using Channel
State Information (CSI) from the IEEE 802.11 OFDM scheme. Compared to the Received …

Indoor localization is getting increasing demands for various cutting-edged technologies,
like Virtual/Augmented reality and smart home. Traditional model-based localization suffers …

Indoor localization based on Visible Light Communication (VLC) has been in favor with both
the academia and industry for years. In this paper, we present a prototyping photodiode …

The widespread mobile devices facilitated the emergence of many new applications and
services. Among them are location-based services (LBS) that provide services based on …

In this chapter, we incorporate deep learning for indoor localization based on channel state
information with commodity 5GHz WiFi. We first introduce the state-of-the-art deep learning …

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 …