With the improvement of radar resolution, the dimension of the high resolution range profile
(HRRP) has increased. In order to solve the small sample problem caused by the increase …

A new manifold learning algorithm named adaptive neighborhood preserving discriminant
projection method is proposed for the feature extraction of high-range resolution profile …

This paper addresses the target classification problem using supervised learning techniques
to discriminate spherical objects from their scattered field. The main goal is to demonstrate …

Target classification is of great value when the number of transceivers in a sensing system is
relatively small. This article proposes a high-accuracy and efficient classification method …

Wireless channel scene recognition plays a key role in cognitive radio (CR) mobile
communication systems. This paper proposes a wireless channel scene identification …

Due to the presence of noise and range resolution variation, each attribute of the scattering
centre (SC) extracted from high‐resolution range profile (HRRP) data is a random variable …

Contactless material characterization has received widespread attention in the radar and
engineering domains. Specifically, impulsive Ultra Wideband (UWB) systems are a versatile …

This study addresses the classification of objects using their electromagnetic signatures with
convolutional neural networks (CNNs) trained on noiseless data. The singularity expansion …

In recent years, the interest in radar automatic target recognition (RATR) based on the
carrier-free ultra-wideband (UWB) radar has been increasing. Compared with narrow-band …

Target detection based on time reversal (TR) effectively uses multipath effects to achieve the
space-time focusing effect and enhance radar detection performance by adaptively …