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

Automatic target classification or recognition is a critical capability in noncooperative
surveillance with radar in several defence and civilian applications. It is a well-established …

Not any radar dwell time of a drone radar is suitable for detecting micro-Doppler (or jet
engine modulation, JEM) produced by the rotating blades in radar signals of drones …

The detection of drones using radar presents challenges due to their small radar cross-
section (RCS) values, slow velocities, and low altitudes. Traditional signal-to-noise ratio …

In this study, we examine the use of micro-Doppler signals produced by different blades (ie,
puller and lifting blades) to aid in radar-based target recognition of small drones. We …

Drones and drone swarms, characterized by their low price and ease of deployment, are
being utilized to launch assaults, and presenting a great threat to the public and homeland …

Current studies rarely mention radar detection of hybrid vertical take-off and landing (VTOL)
fixed-wing drones. We investigated radar signals of an industry-tier VTOL fixed-wing drone …

In this article, a simple, yet effective, Bayesian scheme for tracks maintenance, promotion,
and deletion in drone surveillance radar is presented. It enables the simultaneous tracking …

In recent years, the use of drones for recreational and commercial activities has grown
rapidly due to their affordability and performance. This growing use raises concerns about …

Motion tracking systems based on optical sensors typically suffer from poor lighting,
occlusion, limited coverage, and may raise privacy concerns. Recently, radio-frequency (RF) …