With the deployment of radar in versatile scenarios and a wide variety of potential targets,
demand for automatic classification of various targets is increasing. The wide variety of radar …

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

During the observation of micromotion targets in space, inverse synthetic aperture radar
usually obtains the narrowband and wideband echoes simultaneously. In order to exploit …

In this paper, a target-attentional convolutional neural network (TACNN) combining the
convolutional neural network (CNN) and attention mechanism is proposed for radar high …

Radar high-resolution range profile (HRRP) plays a crucial role in ballistic target recognition
due to its simplicity and fast computation. Convolutional neural networks (CNNs), a popular …

Narrowband and wideband waveforms are usually adopted simultaneously during the
observation of micro-motion space targets by inverse synthetic aperture radar (ISAR), which …

An effective method for identifying inertia characteristics of cone-shaped space target based
on deep learning is proposed. The inertia ratio is determined by the time-varying scattering …

High-resolution range profile (HRRP) sequences have great potential for space target
classification because they can provide both scattering information and micromotion …

The micro-Doppler phenomenon in the echo signal received from a ballistic target (BT) with
micro-motion is commonly used to discriminate BTs such as warheads and decoys. The joint …

The problem of high range resolution profile (HRRP) estimation is considered in this paper.
In particular, stepped frequency waveforms are devised to enhance the target range profile …