Results 11 to 20 of about 4,767 (172)
Deep Unfolding Based Space-Time Adaptive Processing Method for Airborne Radar
Leida xuebao, 2022 The Sparse Recovery Space-Time Adaptive Processing (SR-STAP) method can use a small number of training range cells to effectively suppress the clutter of airborne radar.
Hangui ZHU +4 more
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Sensors, 2018 In this paper, the issue of direction of arrival (DOA) estimation is discussed, and a partial angular sparse representation (SR)-based method using a sparse separate nested acoustic vector sensor (SSN-AVS) array is developed.
Jianfeng Li, Zheng Li, Xiaofei Zhang
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Fourier-Sparsity Integrated Method for Complex Target ISAR Imagery
Sensors, 2015 In existing sparsity-driven inverse synthetic aperture radar (ISAR) imaging framework a sparse recovery (SR) algorithm is usually applied to azimuth compression to achieve high resolution in the cross-range direction.
Xunzhang Gao +3 more
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Jointly Iterative Adaptive Approach Based Space Time Adaptive Processing Using MIMO Radar
IEEE Access, 2018 To solve the problem of large training samples requirement of space time adaptive processing (STAP), a jointly sparse matrices recovery-based method is proposed for clutter plus noise covariance matrix estimation by exploiting the transmitting waveform ...
Weike Feng +4 more
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Remote Sensing, 2022 With a small number of training range cells, sparse recovery (SR)-based space–time adaptive processing (STAP) methods can help to suppress clutter and detect targets effectively for airborne radar.
Bo Zou +4 more
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Energies, 2022 The operation data of a tunnel boring machine (TBM) reflects its geological conditions and working status, which can provide critical references and essential information for TBM designers and operators.
Yitang Wang +3 more
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IET Radar, Sonar & Navigation, 2021 Sparse recovery (SR) based space‐time adaptive processing (STAP) methods have received much attention recently due to their dramatically reduced requirements of training samples.
Zhongyue Li, Tong Wang, Yuyu Su
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A Novel Fast Sparse Bayesian Learning STAP Algorithm for Conformal Array Radar
Remote Sensing, 2023 Space-time adaptive processing (STAP) is an important method of clutter suppression that requires adequate training samples. For an airborne conformal array radar, conventional STAP methods do not have enough training samples to acquire good performance ...
Bing Ren, Tong Wang
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A Dynamical System With Fixed Convergence Time for Sparse Recovery
IEEE Access, 2019 The sparse recovery (SR) algorithm, under the premise that signals are sparse, can be divided into two categories. One is a digital discrete method implemented via lots of iterative computations and the other is a continuous method implemented via analog
Junying Ren +4 more
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Maximal Dependence Capturing as a Principle of Sensory Processing
Frontiers in Computational Neuroscience, 2022 Sensory inputs conveying information about the environment are often noisy and incomplete, yet the brain can achieve remarkable consistency in recognizing objects.
Rishabh Raj +4 more
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