Sparse representation models based on dictionary learning have led to interesting results in
signal restoration and target recognition. However, due to the redundancy defined by …

A novel dictionary learning algorithm, namely reconstructive and discriminative dictionary
learning based on sparse representation classification criterion (RDDLSRCC), is proposed …

A novel target recognition method is proposed for high‐range resolution profiles (HRRPs) of
radar targets under low signal‐to‐noise ratio (SNR) conditions. This method achieves good …

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 high-resolution range profile (HRRP) has received intensive attention from the radar
automatic target recognition (RATR) community. Usually, since the initial phase of a complex …

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 …

Radar high resolution range profile has attracted considerable attention in radar automatic
target recognition. In practice, radar return is usually contaminated by noise, which results in …

In this letter, we introduce a novel noise-robust modification method for Gaussian-based
models to enhance the performance of radar high-resolution range profile (HRRP) …

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 …

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