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 …

In radar high-resolution range profile (HRRP)-based target recognition, one of the most
challenging tasks is the noncooperative target recognition with imbalanced training data set …

A novel radar target recognition method based on the deep one-dimensional residual-
inception network is proposed for a high-resolution range profile (HRRP). The traditional …

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

Feature extraction is the key technique for radar automatic target recognition (RATR) based
on high-resolution range profile (HRRP). Traditional feature extraction algorithms usually …

In this paper, a deep neural network with concatenated structure is created for the
recognition of flight targets. Compared with the traditional recognition method, the deep …

Robust and efficient feature extraction is critical for high-resolution range profile (HRRP)-
based radar automatic target recognition (RATR). In order to explore the correlation between …

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

In this paper, we develop a Target-Aware Recurrent Attentional Network (TARAN) for Radar
Automatic Target Recognition (RATR) based on High-Resolution Range Profile (HRRP) to …

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 …