Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …

Radar automatic target recognition (RATR) technology is fundamental but complicated
system engineering that combines sensor, target, environment, and signal processing …

A comprehensive and well-structured review on the application of deep learning (DL) based
algorithms, such as convolutional neural networks (CNN) and long-short term memory …

The range resolution of high-resolution wideband radar is much smaller than the target size.
Its echo signals tend to be diverse and sensitive to small changes of targets. Therefore, it is …

Critical national infrastructure sites, such as airports and nuclear facilities, have been subject
to a number of airspace breaches from malicious unmanned aerial systems (UASs) in recent …

High‐resolution range profile (HRRP) has obtained intensive attention in radar target
recognition and convolutional neural networks (CNNs) are among predominant approaches …

To improve the catastrophic forgetting that existed in the high-resolution range profile
(HRRP) target recognition model of offline training, this article proposed a continuous …

For high-resolution range profile (HRRP) radar target recognition in a low signal-to-noise
ratio (SNR) scenario, traditional methods frequently perform denoising and recognition …

Convolution neural networks (CNNs) represent one of the workhorses of artificial
intelligence applications. As a typical artificial intelligence application, a high‐resolution …

High resolution range profile (HRRP) has attracted increasing attention in radar automatic
target recognition (RATR). However, the target-aspect missing problem in noncooperative …