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 …

Nowadays, developing the radio frequency (RF)-photonic sensors suitable for several
Defence and civil applications is emerging due to its various unique advantages. In today's …

Small Unmanned Aerial Vehicles (UAVs) are becoming potential threats to security-sensitive
areas and personal privacy. A UAV can shoot photos at height, but how to detect such an …

In recent years, substantial technological development has made unmanned aerial vehicles
(UAVs) more versatile, cheaper, and accessible to the public. Alongside many positive …

Micro-Doppler is a unique characteristic of targets with micro-motions, which can provide
significant information for target classification and recognition. However, the monostatic …

The early trajectory prediction of micro unmanned aerial vehicles (micro-UAVs) with random
behavior intentions facilitates the elimination of potential safety hazards. However, due to …

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 …

It is of great significance to detect drones in airspace due to the substantial increase and
regrettable misuse in the consumer market. In this paper, we establish a micro-motion …

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

Developing a photonics radar to detect the combined multiple simultaneous-
behaviours/postures of low-slow-small (LSS) aerial targets and appropriately extracting their …