Quadruplet depth-wise separable fusion convolution neural network for ballistic target recognition with limited samples

Q Xiang, X Wang, J Lai, L Lei, Y Song, J He… - Expert Systems with …, 2024 - Elsevier
Radar high-resolution range profile (HRRP) plays a crucial role in ballistic target recognition
due to its simplicity and fast computation. Convolutional neural networks (CNNs), a popular …

Radar HRRP target recognition method based on multi-input convolutional gated recurrent unit with cascaded feature fusion

Z Zeng, J Sun, Z Han, W Hong - IEEE Geoscience and Remote …, 2022 - ieeexplore.ieee.org
Over the past decades, radar high-resolution range profile (HRRP) has been one of the
research highlights in the field of radar automatic target recognition (RATR) due to its …

Multi-Modal Discriminative Feature Learning for SAR ATR: A Fusion Framework of Phase History, Scattering Topology, and Image

Z Wen, Y Yu, Q Wu - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
Deep learning has emerged as the dominant paradigm for synthetic aperture radar (SAR)
automatic target recognition (ATR), which induces discriminative visual features from target …

Contrastive learning for radar HRRP recognition with missing aspects

Y Zhong, W Lin, Y Xu, L Huang… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
High resolution range profile (HRRP) has attracted increasing attention in radar automatic
target recognition (RATR). However, the target-aspect missing problem in noncooperative …

Type-aspect disentanglement network for HRRP target recognition with missing aspects

Y Wang, Y Ma, Z Zhang, X Zhang… - IEEE Geoscience and …, 2023 - ieeexplore.ieee.org
High-resolution range profile (HRRP) is essential for high-throughput radar automatic target
recognition. Due to the aspect sensitivity of HRRP, the recognition performance degrades …

[HTML][HTML] Space Targets with Micro-Motion Classification Using Complex-Valued GAN and Kinematically Sifted Methods

L Han, C Feng, X Hu - Remote Sensing, 2023 - mdpi.com
Space target classification based on micro-motion characteristics has become a subject of
great interest in the field of radar, particularly when using deep learning techniques …

Multiuser Association and Localization Over Doubly Dispersive Multipath Channels for Integrated Sensing and Communications

H Zhang, S Chen, W Meng, J Yuan… - IEEE Journal on Selected …, 2024 - ieeexplore.ieee.org
Supporting multiuser communication and localization is a typical scenario in Integrated
sensing and communications (ISAC). However, the problem of multi-echo induced by …

Small Sample Target Recognition Based on Radar HRRP and SDAE-WACGAN

J Yin, W Sheng, H Jiang - IEEE Access, 2024 - ieeexplore.ieee.org
The high resolution range profile (HRRP) of radar targets is commonly used for target
recognition, and the recognition of non-cooperative targets is one of the urgent problems to …

Domain-Adaptive HRRP Generation Using Two-Stage Denoising Diffusion Probability Model

Q Zhou, Y Wang, X Zhang, L Zhang… - IEEE Geoscience and …, 2024 - ieeexplore.ieee.org
High-resolution range profile (HRRP) plays a crucial role in radar target recognition. In real-
world applications, variations in operational conditions during testing, such as changes in …

Disentanglement Model for HRRP Target Recognition when Missing Aspects

Y Wang, Y Ma, L Zhang, J Wang… - IGARSS 2023-2023 …, 2023 - ieeexplore.ieee.org
High resolution range profile (HRRP) is an important approach in radar automatic target
recognition (RATR). Numerous deep learning methods have been proposed for HRRP …