The Internet of Things (IoT) has revolutionized the world, connecting billions of devices that
offer assistance in various aspects of users' daily lives. Context-aware IoT applications …

In this article, we introduce a novel algorithm for efficient near-field synthetic aperture radar
(SAR) imaging for irregular scanning geometries. With the emergence of fifth-generation …

In this paper, we present a novel Deep Neural Network-based indoor localization method
that estimates the position of a Bluetooth Low Energy (BLE) transmitter (tag) by using the …

Though Global Navigation Satellite System (GNSS) has been pretty mature and widely used
in our daily life, the positioning of the indoor environment cannot be realized due to the …

Indoor localization techniques have been extensively studied in the last decade. The well-
established technologies enable the development of Real-Time Location Systems (RTLS). A …

Bluetooth Low Energy (BLE) is one of the key technologies empowering the Internet of
Things (IoT) for indoor positioning. In this regard, Angle of Arrival (AoA) localization is one of …

Ultra Wide Band (UWB) has been emerged as a technology to provide reliable, accurate,
and energy-efficient indoor navigation/localization systems. There are, however, several key …

A highly accurate 3-D indoor passive localization and identification system is presented in
this article. The system can monitor various commercial Wi-Fi devices through the proposed …

This paper aims to assess the possibilities of using current and incoming fifth generation
(5G) devices as millimeter wave (mmWave) imagers. For this purpose, previous works about …

Spatial navigation patterns in indoor space usage can reveal important cues about the
cognitive health of participants. In this work, we present a low-cost, scalable, open-source …