Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

Narrowband and wideband waveforms are usually adopted simultaneously during the
observation of micro-motion space targets by inverse synthetic aperture radar (ISAR), which …

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

Human activity recognition plays a crucial role in Advanced Driver-Assisted Systems
(ADAS). A significant challenge in achieving automotive autonomy lies in the difficulty faced …

Safety helmets play a vital role in protecting workers' heads. In order to improve the accuracy
of the detection model in complex environments, such as complex backgrounds and …

Micro-Doppler signatures (m-DSs) have been widely employed for the automatic recognition
of various radar targets that exhibit micromotions via time–frequency distributions (TFDs) …

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 …

Micro‐Doppler effect is a vital feature of a target that reflects its oscillatory motions apart from
bulk motion and provides an important evidence for target recognition with radars. However …

Radar micro-motion signatures help to judge the target's motion state and threat level, which
plays a vital role in space situational awareness. Most of the existing micro-motion feature …