Recently, the frequent occurrence of the misuse and intrusion of UAVs has made it a
research challenge to identify and detect them effectively, and relatively high bandwidth and …

Aiming at the difficult problem of the classification between flying bird and rotary-wing drone
by radar, a micro-motion feature classification method is proposed in this paper. Using K …

The rapid development of flight control technology has made unmanned aerial vehicles
(UAVs) widely used in high-precision strikes on the battlefield. The premise of this is to …

Gesture and sign language (SL) recognition technology enables machines to understand
the meaning of human hand movements. In human–computer interaction, it is expected that …

Unmanned aerial vehicle (UAV) sensing based on the emitted radio frequency (RF) signals
is investigated for UAV surveillance and control. A novel robust RF-based UAV sensing …

The micro-Doppler (mD) modulations to radar backscattering introduced by the flexible body
articulations and complicated movement patterns of human movers can provide valuable …

In this article, a statistical model of human motion as observed by a network of radar sensors
is presented where knowledge on the position and heading of the target provides …

The micro-Doppler (mD) signal generated by the micro-motion of aerial target can be
extracted for recognition. However, the mD signal is weak and prone to be interfered by the …

The detection of low, slow and small (LSS) targets, such as small drones, is a developing
area of research in radar, wherein the presence of ground clutter can be quite challenging …

Deep learning has made significant progress in the field of radar space target recognition.
However, deep neural networks require significant amounts of data to train network …