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

Range–Doppler images are widely used to classify different types of unmanned air vehicles
(UAVs) because each UAV has a unique range–Doppler signature. However, a UAV's range …

In the last decade, the low cost and easy availability of Unmanned Aerial Vehicles (UAVs)
have led to their enormous use in modern society, which leads to privacy and security …

In this article, a method for creating highly realistic synthetic drone micro-Doppler
spectrograms is presented and its effectiveness of training a bird-drone classifier for real …

To solve the problem of target recognition for flying‐birds and biomimetic flapping‐wing
unmanned aerial vehicles (UAVs), a rectangular‐trapezoidal composite scattering model for …

Various short-range radars, such as impulse-radio ultra-wideband (IR-UWB) and frequency-
modulated continuous-wave (FMCW) radars, are currently employed to monitor vital signs …

Millimetre-wave frequency-modulated continuous-wave (FMCW) radar is widely used in
various scenarios. However, it is often affected by static and dynamic clutter interference …

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 …

This paper addresses the hardware implementation of a CNN deep learning system,
focusing on the method for implementing Convolution Filters, which are known to cause time …

The past few decades have witnessed the monumental success of Unmanned Aerial
Vehicles (UAVs) in both military and civilian applications. However, this success has also …