Radar HRRP target recognition model based on a stacked CNN–Bi-RNN with attention mechanism

M Pan, A Liu, Y Yu, P Wang, J Li, Y Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Continuous Learning Method of Radar HRRP Based on CVAE-GAN

X Li, W Ouyang, M Pan, S Lv… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To improve the catastrophic forgetting that existed in the high-resolution range profile
(HRRP) target recognition model of offline training, this article proposed a continuous …

Convolutional neural network for classifying space target of the same shape by using RCS time series

J Chen, S Xu, Z Chen - IET Radar, Sonar & Navigation, 2018 - Wiley Online Library
Warhead and decoy classification is one of the most important and difficult technical
problems in ballistic missile defence. The conventional methods extract features from the …

HRRP target recognition with deep transfer learning

Y Wen, L Shi, X Yu, Y Huang, X Ding - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, radar high-resolution range profile (HRRP) recognition based on convolutional
neural networks (CNNs) has received considerable attention due to its robustness to …

Radar target recognition of ballistic missile in complex scene

W Tang, L Yu, Y Wei, P Tong - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
In modern warfare, the defense of ballistic missile is an important task of air defense
warning, and radar-based target recognition is the core of defense. In this paper, the …

Time‐Frequency Analysis and Target Recognition of HRRP Based on CN‐LSGAN, STFT, and CNN

J Nie, Y Xiao, L Huang, F Lv - Complexity, 2021 - Wiley Online Library
Aiming at the problem of radar target recognition of High‐Resolution Range Profile (HRRP)
under low signal‐to‐noise ratio conditions, a recognition method based on the Constrained …

HRRP target recognition based on kernel joint discriminant analysis

LIU Wenbo, Y Jiawen, Z Gong… - Journal of Systems …, 2019 - ieeexplore.ieee.org
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 …

Feature Extraction Method for DCP HRRP-Based Radar Target Recognition via Decomposition and Sparsity-Preserving Discriminant Correlation Analysis

J Wang, Z Liu, L Ran, R Xie - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Dual-circular polarimetric (DCP) high-resolution range profile (HRRP) provides similar target
information to the full polarimetric HRRP and has the same data volume as the dual-linear …

Radar Waveform Design based on Target Pattern Separability via Fractional Programming

J Wang, J Liang, Z Cheng, HC So… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Separability is an important criterion for measuring the degree of overlap between different
features in pattern recognition. Stronger separability indicates clearer feature margins …

SCNet: Scattering center neural network for radar target recognition with incomplete target-aspects

Q Liu, X Zhang, Y Liu - Signal Processing, 2024 - Elsevier
Most of the previous radar automatic target recognition (RATR) methods based on high
resolution range profile (HRRP) are designed under the assumption of complete target …