Classification of indoor environments for IoT applications: A machine learning approach
Evolving Internet-of-Things (IoT) applications often require the use of sensor-based indoor
tracking and positioning, for which the performance is significantly improved by classifying …
tracking and positioning, for which the performance is significantly improved by classifying …
Indoor localization for IoT using adaptive feature selection: A cascaded machine learning approach
Evolving Internet-of-things applications often require the use of sensor-based indoor
tracking and positioning, for which the performance is significantly improved by identifying …
tracking and positioning, for which the performance is significantly improved by identifying …
Neural-network-assisted UE localization using radio-channel fingerprints in LTE networks
In this paper, a novel fingerprint-based localization technique is proposed, which is
applicable for positioning user equipments (UEs) in cellular communication networks such …
applicable for positioning user equipments (UEs) in cellular communication networks such …
Single-site localization via maximum discrimination multipath fingerprinting
A novel approach to single-site localization based on maximum discrimination multipath
fingerprinting is presented. In contrast to the existing approach, which extracts each …
fingerprinting is presented. In contrast to the existing approach, which extracts each …
Ultra Wideband (UWB) localization using active CIR-based fingerprinting
Indoor positioning systems using Ultra Wideband (UWB) achieve high positioning accuracy
(cm). However, traditional localization approaches require many packet exchanges (eg two …
(cm). However, traditional localization approaches require many packet exchanges (eg two …
A machine learning approach for the classification of indoor environments using RF signatures
Efficient deployment of Internet of Things (IoT) sensors primarily depends on allowing the
adjustment of sensor power consumption according to the radio frequency (RF) propagation …
adjustment of sensor power consumption according to the radio frequency (RF) propagation …
A narrow-band indoor positioning system by fusing time and received signal strength via ensemble learning
The Internet of Things (IoT) is an emerging paradigm to integrate the physical world into
cyber systems by connecting various devices, which sense and control the surrounding …
cyber systems by connecting various devices, which sense and control the surrounding …
Precise indoor localization: Rapidly-converging 2D surface correlation-based fingerprinting technology using LTE signal
This study proposes a 2D surface correlation-based indoor localization technology using
LTE fingerprinting with an accuracy of several meters. The most important problem with RF …
LTE fingerprinting with an accuracy of several meters. The most important problem with RF …
Classification of indoor environments based on spatial correlation of RF channel fingerprints
This paper presents a realistic indoor multipath environment classification based on
practical RF measurements. The classification is based on correlation statistics that accounts …
practical RF measurements. The classification is based on correlation statistics that accounts …
A privacy-preserving fuzzy localization scheme with CSI fingerprint
CSI fingerprint localization is an advanced and promising technique for indoor localization,
which identifies the user's location by mapping his measured CSI against the server's CSI …
which identifies the user's location by mapping his measured CSI against the server's CSI …