A comprehensive survey of machine learning applied to radar signal processing
P Lang, X Fu, M Martorella, J Dong, R Qin… - arXiv preprint arXiv …, 2020 - arxiv.org
Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …
time capability when operating on increasingly complex electromagnetic environments …
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 …
Its echo signals tend to be diverse and sensitive to small changes of targets. Therefore, it is …
Label constrained convolutional factor analysis for classification with limited training samples
J Chen, L Du, Y Guo - Information sciences, 2021 - Elsevier
This paper mainly addresses the statistical classification robust to small training data size.
We develop a label constrained convolutional factor analysis (LCCFA) model, which unifies …
We develop a label constrained convolutional factor analysis (LCCFA) model, which unifies …
Target-aware recurrent attentional network for radar HRRP target recognition
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 …
Automatic Target Recognition (RATR) based on High-Resolution Range Profile (HRRP) to …
Radar HRRP target recognition based on t-SNE segmentation and discriminant deep belief network
M Pan, J Jiang, Q Kong, J Shi… - IEEE Geoscience and …, 2017 - ieeexplore.ieee.org
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 …
challenging tasks is the noncooperative target recognition with imbalanced training data set …
[HTML][HTML] 基于参数化统计模型的雷达HRRP 目标识别方法综述
陈健， 杜兰， 廖磊瑶 - 雷达学报, 2022 - radars.ac.cn
现代战争日趋信息化和智能化, 雷达自动目标识别技术(RATR) 在国家安全防卫和战略预警等
军事应用方面发挥着更加重要的作用. 高分辨距离像(HRRP) 反映了目标散射点沿雷达视线方向 …
军事应用方面发挥着更加重要的作用. 高分辨距离像(HRRP) 反映了目标散射点沿雷达视线方向 …
Regularized 2-D complex-log spectral analysis and subspace reliability analysis of micro-Doppler signature for UAV detection
Unmanned aerial vehicle (UAV) has become an important radar target recently because of
its wide applications and potential security threats. Traditionally, visual features such as …
its wide applications and potential security threats. Traditionally, visual features such as …
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 …
(HRRP) target recognition model of offline training, this article proposed a continuous …
Polarimetric HRRP recognition based on ConvLSTM with self-attention
L Zhang, Y Li, Y Wang, J Wang, T Long - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Polarimetric high resolution range profile (HRRP) holds great potential for radar automatic
target recognition (RATR) owing to its capability of providing both polarimetric and spatial …
target recognition (RATR) owing to its capability of providing both polarimetric and spatial …
Radar HRRP target recognition based on deep one-dimensional residual-inception network
C Guo, Y He, H Wang, T Jian, S Sun - IEEE Access, 2019 - ieeexplore.ieee.org
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 …
inception network is proposed for a high-resolution range profile (HRRP). The traditional …