Recently, radar high-resolution range profile (HRRP) recognition based on convolutional
neural networks (CNNs) has received considerable attention due to its robustness to …

Existing works on radar high-resolution range profile (HRRP) recognition commonly focus
on utilizing data and various deep learning models in achieving high classification accuracy …

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

Stable and reliable feature extraction is crucial for radar high-resolution range profile
(HRRP) target recognition. Owing to the complex structure of HRRP data, existing feature …

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 …

High‐resolution range profile (HRRP) has received intensive attention in the radar automatic
target recognition filed. Here, deep forest is applied to the recognition of HRRP. The deep …

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 …

A novel radar high resolution range profile (HRRP) recognition method based on
discriminant deep autoencoders is proposed to enhance the classification performance with …

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

In radar high-resolution range profile (HRRP) recognition, the recognition accuracy will
decline when the training samples in some classes (majority classes) greatly outnumbers …