Low-Altitude Windshear Wind Speed Estimation Method Based on KASPICE-STAP. [PDF]
Sensors (Basel), 2022 Li H, Chen Y, Feng K, Jin M.
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A Fast Space-Time Adaptive Processing Algorithm Based on Sparse Bayesian Learning for Airborne Radar. [PDF]
Sensors (Basel), 2022 Liu C, Wang T, Zhang S, Ren B.
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, 2010 In this paper, we are interested in the application and the evaluation of the performances of iterative subspace tracking algorithms for the suppression of interferences in Space Time Adaptive Processing (STAP), namely PAST and OPAST.
S. Dib, M. Barkat +2 more
core
A Novel Clutter Suppression Method Based on Sparse Bayesian Learning for Airborne Passive Bistatic Radar with Contaminated Reference Signal. [PDF]
Sensors (Basel), 2021 Wang J, Wang J, Zhu Y, Zhao D.
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Space time adaptive processing (STAP) in multi input multi output (MIMO) radar
, 2020 107
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A Riemannian approach for training data selection in space-time adaptive processing applications
, 2013 International audienceHeterogeneous situations are a serious problem for Space-Time Adaptive Processing (STAP) in an airborne radar context. Indeed, STAP detectors need secondary training data that have to be homogeneous with the tested data, otherwise ...
Degurse, Jean-François +3 more
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Slow-Time Code Design for Space-Time Adaptive Processing in Airborne Radar. [PDF]
Entropy (Basel), 2021 Li S, Wang N, Zhang J, Xue C, Zhu D.
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A partially adaptive STAP algorithm approach to fMRI
, 2005 In this work, the architectures of three partially adaptive STAP algorithms are introduced, one of which is explored in detail, that reduce dimensionality and improve tractability over fully adaptive STAP when used in construction of brain activation ...
Talavage, T M +2 more
core
Dual Cancelled Channel STAP for Target Detection and DOA Estimation in Passive Radar. [PDF]
Sensors (Basel), 2021 Blasone GP +4 more
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Clutter Subspace Characteristics-Aided Space-Time Adaptive Outlier Sample Selection Method. [PDF]
Sensors (Basel), 2021 Fu D, Liao G, Xu J.
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