This paper aims to provide an overview of the capabilities of unmanned systems to monitor
and manage aquaculture farms that support precision aquaculture using the Internet of …

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

In this study, the authors present the accurate imaging of the behavior of simultaneous
operations of multiple low radar cross-section (RCS) aerial targets. Currently, the popularity …

The growing number of civil applications in which Unmanned Aerial Vehicles (UAVs) are
involved can create many concerns for airspace security and surveillance. Gathering as …

The ability to classify drones using radar signals is a problem of great interest. In this paper,
we apply convolutional neural networks (CNNs) to the Short-Time Fourier Transform (STFT) …

This work investigates the problem of unmanned aerial vehicle (UAV) recognition using their
radar cross section (RCS) signature. The RCS of six commercial UAVs is measured at 15 …

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 …

This work investigates the problem of unmanned aerial vehicles (UAVs) identification using
their radar crosssection (RCS) signature. The RCS of six commercial UAVs are measured at …

In this paper, three simple models of a multi-rotor drone's timeseries radar returns were
derived, and by populating the equation parameters with genuine drone motor speed …

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 …