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A Clutter Suppression Algorithm via Enhanced Sparse Bayesian Learning for Airborne Radar
IEEE Sensors Journal, 2023The traditional space–time adaptive processing (STAP) method based on sparse Bayesian learning (SBL) has the problems of low computational efficiency and slow convergence speed.
Degen Wang +3 more
semanticscholar +1 more source
Clutter Suppression for OTHR Based on Joint Low Rank and Group Sparse Representation
IEEE Transactions on Aerospace and Electronic SystemsSea or ground clutter is one of the main bottleneck factors for target detection in skywave over-the-horizon radar (OTHR). Conventional methods can partly suppress clutter, however, they typically suffer from two shortcomings.
Zirui Chen +6 more
semanticscholar +1 more source
IEEE Geoscience and Remote Sensing Letters, 2023
The range-ambiguous clutter in space-based early warning radar is more severe compared with that in airborne radar due to the faster movement velocity. Meanwhile, the clutter angle-Doppler characteristics vary with range owing to Earth’s rotation.
Zizhou Qiu +3 more
semanticscholar +1 more source
The range-ambiguous clutter in space-based early warning radar is more severe compared with that in airborne radar due to the faster movement velocity. Meanwhile, the clutter angle-Doppler characteristics vary with range owing to Earth’s rotation.
Zizhou Qiu +3 more
semanticscholar +1 more source
A Sea Clutter Suppression Method With Graph Neural Network for Maritime Target Detection
IEEE Sensors JournalRadar is widely applied in maritime target detection. However, the performance of sea-surface target detection in complex ocean environments is limited because of the low signal-to-clutter ratio (SCR).
Jiachen Tan, Weixing Sheng, Hairui Zhu
semanticscholar +1 more source
CV-SAGAN: Complex-valued Self-attention GAN on Radar Clutter Suppression and Target Detection
International Radar Conference, 2023Traditional clutter suppression and target detection methods have limitations in that they must satisfy specific statistical models. In this paper, we propose a unified deep learning model for complex-valued self-attention generative adversarial networks
Yuanhang Wu +4 more
semanticscholar +1 more source
IEEE Journal on Selected Areas in Communications
Significant challenges remain for realizing precise positioning and velocity estimation in practical perceptive vehicular networks (PVN) that rely on the emerging integrated sensing and communication (ISAC) technology.
Xiao-Yang Wang +4 more
semanticscholar +1 more source
Significant challenges remain for realizing precise positioning and velocity estimation in practical perceptive vehicular networks (PVN) that rely on the emerging integrated sensing and communication (ISAC) technology.
Xiao-Yang Wang +4 more
semanticscholar +1 more source
Bistatic SAR Clutter-Ridge Matched STAP Method for Nonstationary Clutter Suppression
IEEE Transactions on Geoscience and Remote Sensing, 2022Clutter suppression is a challenging task in synthetic aperture radar-ground moving target indication (SAR-GMTI). In general, sufficient secondary samples are not easily acquired due to the nonstationary and nonhomogeneous characteristics of bistatic SAR
Zhongyu Li +6 more
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing
Ground-penetrating radar (GPR), as a geophysical survey method, offers high resolution and fast detection capabilities obtaining rich information about the underground structure.
Feifei Hou +4 more
semanticscholar +1 more source
Ground-penetrating radar (GPR), as a geophysical survey method, offers high resolution and fast detection capabilities obtaining rich information about the underground structure.
Feifei Hou +4 more
semanticscholar +1 more source
Channel Knowledge Map-Enhanced Clutter Suppression for Integrated Sensing and Communication
2024 IEEE/CIC International Conference on Communications in China (ICCC Workshops)Clutter suppression has been an essential problem for radar sensing, while traditional techniques such as moving target indication (MTI) and pulse Doppler (PD) usually give poor performance for slow and small targets.
Zihan Xu, Zhiwen Zhou, Di Wu, Yong Zeng
semanticscholar +1 more source
Clutter Suppression for Target Detection Using Hybrid Reconfigurable Intelligent Surfaces
International Radar Conference, 2023Reconfigurable intelligent surface (RIS) technology is a promising approach being considered for future wireless communications due to its ability to control signal propagation with low-cost elements.
Fangzhou Wang +2 more
semanticscholar +1 more source

