Artificial neural networks and deep learning techniques applied to radar target detection: A review

W Jiang, Y Ren, Y Liu, J Leng - Electronics, 2022 - mdpi.com
Radar target detection (RTD) is a fundamental but important process of the radar system,
which is designed to differentiate and measure targets from a complex background. Deep …

Radar target characterization and deep learning in radar automatic target recognition: A review

W Jiang, Y Wang, Y Li, Y Lin, W Shen - Remote Sensing, 2023 - mdpi.com
Radar automatic target recognition (RATR) technology is fundamental but complicated
system engineering that combines sensor, target, environment, and signal processing …

Deep-learning for radar: A survey

Z Geng, H Yan, J Zhang, D Zhu - IEEE Access, 2021 - ieeexplore.ieee.org
A comprehensive and well-structured review on the application of deep learning (DL) based
algorithms, such as convolutional neural networks (CNN) and long-short term memory …

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 …

One‐dimensional convolutional neural networks for high‐resolution range profile recognition via adaptively feature recalibrating and automatically channel pruning

Q Xiang, X Wang, Y Song, L Lei, R Li… - International Journal of …, 2021 - Wiley Online Library
High‐resolution range profile (HRRP) has obtained intensive attention in radar target
recognition and convolutional neural networks (CNNs) are among predominant approaches …

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 …

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 high-resolution range profile ship recognition using two-channel convolutional neural networks concatenated with bidirectional long short-term memory

CL Lin, TP Chen, KC Fan, HY Cheng, CH Chuang - Remote Sensing, 2021 - mdpi.com
Radar automatic target recognition is a critical research topic in radar signal processing.
Radar high-resolution range profiles (HRRPs) describe the radar characteristics of a target …

Recognition-aware HRRP generation with generative adversarial network

Y Huang, Y Wen, L Shi, X Ding - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
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 …

Ground target recognition using carrier-free UWB radar sensor with a semi-supervised stacked convolutional denoising autoencoder

Y Zhu, S Zhang, X Li, H Zhao, L Zhu… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This paper proposes a scheme for ground-target recognition based on the carrier-free ultra-
wideband (UWB) radar sensor for the first time. Carrier-free UWB system emits an extremely …