Abstract while the fifth generation (5G) cellular system is being deployed worldwide,
researchers have started the investigation of the sixth generation (6G) mobile …

Unmanned aerial vehicles (UAVs) are increasingly becoming popular due to their use in
many commercial and military applications, and their affordability. The UAVs are equipped …

This paper focuses on the detection and classification of micro-unmanned aerial vehicles
(UAVs) using radio frequency (RF) fingerprints of the signals transmitted from the controller …

Thanks to recent technological advances, a new generation of low-cost, small, unmanned
aerial vehicles (UAVs) is available. Small UAVs, often called drones, are enabling …

In this article, we present a novel localization and activity classification method for aerial
vehicle using mmWave frequency modulated continuous wave (FMCW) Radar. The …

This article presents a radar cross-section (RCS)-based statistical recognition system for
identifying/classifying unmanned aerial vehicles (UAVs) at microwave frequencies. First, the …

Most of the investigations on the micro-Doppler (MD) effect caused by a small unmanned
aerial vehicle (UAV) have been conducted using joint time–frequency (JTF) images rather …

The use of unmanned aerial vehicles (UAVs) for different applications has increased
tremendously during the past decade. The small size, high maneuverability, ability to fly at …

The detection and positioning of unmanned aerial vehicles has become essential for both
automation and surveillance tasks, in recent years. The design of accurate drone …

Recent studies have demonstrated that using deep-learning (DL) methods to classify drones
based on the radio-frequency (RF) signal is effective. As known, the rich and diverse data is …