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 …

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 …

The proliferation of drones has brought many benefits in different industrial and government
sectors due to their low cost and potential applications. Nevertheless, the security and air …

This paper demonstrates a real-time LoRa Internet of Things (IoT) signal classification
technique that runs on Xilinx Radio Frequency System-on-Chip (RFSoC) hardware. IoT …

A fundamental challenge in the practical implementation of multistatic radar systems (MSRS)
is the requirement for precise time and frequency synchronisation between the spatially …

With advancements in remote sensing technology and affordable design, uncrewed aerial
systems (UAS), commonly known as drones, have become prevalent in civil and military …

In this paper we present a dual active and passive radar experimental setup that uses the
UCL ARESTOR platform. This is a multi-role RF sensor based on a Xilinx Radio Frequency …

Radio Frequency (RF) sensors are often designed to operate in a single mode or
configuration. Demands coming from operating in future challenging Electromagnetic …

This paper presents an algorithm which extracts HElicopter Rotation Modulation (HERM)
line features from spectrograms of multi-rotor drones from physical flights that is able to …

旋翼无人机因其垂直起降, 低空飞行和长时间滞空悬停等优势, 在军事和民用领域被广泛使用,
然而旋翼无人机的泛滥和非法使用也给社会秩序和国家安全带来了严峻挑战 …