Results 11 to 20 of about 47,616 (177)
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
doaj +1 more source
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
doaj +1 more source
Sharp RIP Bound for Sparse Signal and Low-Rank Matrix Recovery [PDF]
, 2013 This paper establishes a sharp condition on the restricted isometry property (RIP) for both the sparse signal recovery and low-rank matrix recovery.
Cai, T. Tony, Zhang, Anru
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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
doaj +1 more source
Adaptive Compressed Sensing for Support Recovery of Structured Sparse Sets [PDF]
, 2016 This paper investigates the problem of recovering the support of structured signals via adaptive compressive sensing. We examine several classes of structured support sets, and characterize the fundamental limits of accurately recovering such sets ...
Castro, Rui M., Tánczos, Ervin
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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
doaj +1 more source
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
doaj +1 more source
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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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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Robust Recovery of Subspace Structures by Low-Rank Representation [PDF]
, 2012 In this work we address the subspace recovery problem. Given a set of data samples (vectors) approximately drawn from a union of multiple subspaces, our goal is to segment the samples into their respective subspaces and correct the possible errors as ...
Lin, Zhouchen +5 more
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