Unmanned aerial vehicles (UAVs) are increasing in popularity in various sectors,
simultaneously rasing the challenge of detecting those with low radar cross sections (RCS) …

Unmanned Aerial Vehicles (UAVs) represent a rapidly increasing technology with profound
implications for various domains, including surveillance, security, and commercial …

The detection and classification of unmanned air vehicles (UAVs) are disturbing challenges
within contemporary radar systems, wherein the physical characteristics of UAVs, including …

Detection and classification of Unmanned Air Vehicles (UAV s) at a distance have become
important because of the potential threats of the illegal usage of them. Radar systems are …

Detection and classification of drones have become crucial due to their potential usage in
illicit activities. Radar systems can provide a promising solution to this needed task when …

Unmanned Aerial Vehicles (UAVs) pose significant security challenges due to their
widespread use in various malicious activities, including terrorist attacks and wartime …

In the present investigation, the impacts of antenna field of view (FOV) on the accuracy of
machine learning (ML) models utilized for the classification of various unmanned air vehicle …

In this study, the efficacy of range-Doppler imaging is explored for the detection and
classification of Unmanned Air Vehicles (UAVs), with attention to the radar system's …

The problem of multicopter (multirotor drone) classification is considered. A two-stage
approach for multicopter joint detection, tracking, and parameter estimation is proposed. A …

Unmanned aerial vehicles (UAVs), commonly known as drones, have emerged as versatile
tools with a wide range of applications across various fields. UAV technology has rapidly …