Results 201 to 210 of about 5,964,622 (303)

Jamming of ISAR Imaging With Time-Modulated Metasurface Partially Covered on Targets

IEEE Antennas and Wireless Propagation Letters, 2023
The phase information of the echo is essential for inverse synthetic aperture radar (ISAR) imaging. Time-modulated metasurface (TMM) generates time-varying reflection phase that can modulate the phase of echo, thus enabling jamming of ISAR imaging, which
Shiyuan Li, Jianyang Wang, X. Fang, Guanghua Lu, Mengmeng Li, Weidong Chen, Chang Chen   +6 more
semanticscholar   +1 more source

CVAE: An Efficient and Flexible Approach for Sparse Aperture ISAR Imaging

IEEE Geoscience and Remote Sensing Letters, 2023
The use of traditional compressed sensing methods in sparse aperture inverse synthetic aperture radar (SA-ISAR) imaging suffers from high computational burdens and complicated formula derivations.
Jianyang Wang, Shiyuan Li, Di Cheng, Lingyun Zhou, Chang Chen, Weidong Chen   +5 more
semanticscholar   +1 more source

A Review of ISAR Imaging Technology [PDF]

2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA), 2020
With the requirements of radar resolution improving, the aperture of traditional radar has become the bottleneck of its development. In order to overcome this problem, phased array radar and virtual aperture radar are proposed. Virtual Aperture Radar can be divided into Synthetic Aperture Radar (SAR) and Inverse Synthetic Aperture Radar (ISAR).
Wenjun Yang, Guoqiang Zhang, Pengfei Zhou   +2 more
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High-Resolution ISAR Imaging of Maneuvering Targets Based on Azimuth Adaptive Partitioning and Compensation Function Estimation

IEEE Transactions on Geoscience and Remote Sensing, 2023
An important challenge in high-resolution inverse synthetic aperture radar (ISAR) imaging of maneuvering targets is the 2-D spatial-variant (SV) high-order phase error.
Shenghui Yang, Shiqiang Li, Huaitao Fan, Yifei Liu   +3 more
semanticscholar   +1 more source

Integrated Convolution Network for ISAR Imaging and Target Recognition

IEEE Journal on Miniaturization for Air and Space Systems, 2023
Recently, inverse synthetic aperture radar (ISAR) image recognition using deep learning (DL) technology is developed rapidly. However, the imaging and recognition processing is independent of each other, and the recognition network cannot fully capture ...
Haoze Du, Peishuang Ni, Jianlai Chen, Shuai Ma, Hui Zhang, Gang Xu   +5 more
semanticscholar   +1 more source

AF-AMPNet: A Deep Learning Approach for Sparse Aperture ISAR Imaging and Autofocusing

IEEE Transactions on Geoscience and Remote Sensing, 2022
Inverse synthetic aperture radar (ISAR) imaging and autofocusing are challenging under sparse aperture (SA) conditions. Traditional imaging or autofocusing methods fail to obtain satisfying results due to the nonuniform and incomplete data caused by SA ...
Shunjun Wei, Jiadian Liang, Mou Wang, Jun Shi, Xiaoling Zhang, Jinhe Ran   +5 more
semanticscholar   +1 more source

Structured Low-Rank and Sparse Method for ISAR Imaging With 2-D Compressive Sampling

IEEE Transactions on Geoscience and Remote Sensing, 2022
With the development of modern advanced radar, there are high demands to perform inverse synthetic aperture radar (ISAR) imaging from sparse frequency band (SFB) and sparse aperture (SA) data, respectively.
Gang Xu, Bangjie Zhang, Junli Chen, Wei Hong   +3 more
semanticscholar   +1 more source

Ultrawideband ISAR Imaging of Maneuvering Targets With Joint High-Order Motion Compensation and Azimuth Scaling

IEEE Transactions on Geoscience and Remote Sensing, 2022
Ultrawideband (UWB) radar can achieve ultrahigh-resolution inverse synthetic aperture radar (ISAR) imaging of noncooperative targets by transmitting UWB signals.
Shuai Shao, Hongwei Liu, Lei Zhang, Penghui Wang, Jiaqi Wei   +4 more
semanticscholar   +1 more source

Integration of Super-Resolution ISAR Imaging and Fine Motion Compensation for Complex Maneuvering Ship Targets Under High Sea State

IEEE Transactions on Geoscience and Remote Sensing, 2022
Under high sea state, ship targets make complex maneuvering motions due to strong disturbances such as sea waves and sea winds. Selecting the optimal imaging time interval to shorten the coherent processing interval (CPI) can reduce the complexity of ...
Shuai Shao, Hongwei Liu, Lei Zhang, Penghui Wang, Jiaqi Wei   +4 more
semanticscholar   +1 more source