Three-dimensional sparse recovery space-time adaptive processing for airborne radar
Conventional 3-dimensional (3D) space-time adaptive processing (STAP) has achieved good performance for non-stationary clutter suppression. However, the performance of 3D STAP rapidly degrades when applied to heterogeneous clutter environment due to the ...
Keqing Duan +4 more
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Robust Algorithm for Adaptive Processingin Strong Space time Clutter Envirnment
:A novel Quiescent Pattern Control(QPC) approach was proposed for airborne radar weak signal detection in strong space time clutter environment. The new QPC approach imposed quadratic beampattern constraints in the adaptive processing and exploited the ...
doaj
Meshless Search SR-STAP for Airborne Radar Based on Meta-Heuristic Algorithms. [PDF]
Hou Y, Zhang Y, Gui W, Wang D, Dong W.
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Sea clutter suppression is a hot topic for airborne radar. Space‐time adaptive processing (STAP) is a useful approach to address this issue. Currently, range ambiguity is a problem to restrict conventional STAP performance.
Zhao Wang +4 more
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A New Statistical Method for Determining the Clutter Covariance Matrix in Spatial-Temporal Adaptive Processing of a Radar Signal. [PDF]
Kawalec A, Ślesicka A, Ślesicki B.
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Low-Altitude Windshear Estimation Method Based on Four-Dimensional Frequency Domain Compensation for Fuselage Frustum Conformal Array. [PDF]
Li H, Zheng L, Meng F.
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Fast Iterative Subspace Algorithms for Airborne STAP Radar
Space-time adaptive processing (STAP) is a crucial technique for the new generation airborne radar for Doppler spread compensation caused by the platform motion. We here propose to apply range cell snapshots-based recursive algorithms in order to reduce
Belkacemi Hocine, Marcos Sylvie
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Traditional airborne radar Pulse Compression (PC) and Space-Time Adaptive Processing (STAP) suffer performance degradation in complex target and clutter environments due to their reliance on predefined linear models. To address this issue, we developed a
Zhipeng LIAO, Keqing DUAN, Fei GAO
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Space-Time Adaptive Processing Based on Modified Sparse Learning via Iterative Minimization for Conformal Array Radar. [PDF]
Ren B, Wang T.
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Joint Correlations Sparse Bayesian Learning STAP With Prior Knowledge of Clutter Ridge
Space-time adaptive processing (STAP) based on sparse Bayesian learning (SBL) can significantly improve clutter suppression performance utilizing clutter sparsity.
Junhao Cui, Zhangxin Chen, Jing Liang
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