Results 1 to 10 of about 47,545 (106)
Sensors, 2021 In the presence of unknown array errors, sparse recovery based space-time adaptive processing (SR-STAP) methods usually directly use the ideal spatial steering vectors without array errors to construct the space-time dictionary; thus, the steering vector
Kun Liu +3 more
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Meshless Search SR-STAP for Airborne Radar Based on Meta-Heuristic Algorithms
Sensors, 2023 The sparse recovery (SR) space-time adaptive processing (STAP) method has excellent clutter suppression performance under the condition of limited observation samples.
Yunfei Hou +4 more
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Fast Tensor-based Three-dimensional Sparse Bayesian Learning Space-Time Adaptive Processing Method
Leida xuebao, 2021 When airborne radar is applied to the non-side-looking mode, moving target detection performance considerably degrades because of the nonstationary clutter.
Ning CUI +3 more
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Knowledge‐aided block sparse Bayesian learning STAP for phased‐array MIMO airborne radar
IET Radar, Sonar & Navigation, 2021 The phased‐array multiple‐input multiple‐output (PA‐MIMO) airborne radar faces more severe sample shortage problem than the conventional PA radar. Hence, it suffers from severe performance degradation when it adopts the traditional space‐time adaptive ...
Ning Cui +3 more
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A Novel Sparse Bayesian Space-Time Adaptive Processing Algorithm to Mitigate Off-Grid Effects
Remote Sensing, 2022 Space-time adaptive processing (STAP) algorithms based on sparse recovery (SR) have been researched because of their low requirement of training snapshots.
Cheng Liu +3 more
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IET Radar, Sonar & Navigation, 2023 Non‐sidelooking airborne radar encounters significant non‐stationary and heterogeneous clutter environments, resulting in a severe shortage of samples.
Weichen Cui +3 more
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Joint phase error estimation and sparse scene restoration algorithms for frequency agile radar
IET Radar, Sonar & Navigation, 2021 Frequency agile radar (FAR) systems have been demonstrated to have outstanding performance in electronic counter‐countermeasures (ECCM). With increased bandwidth in which FAR can switch carrier frequency, the phase errorswill appear at the corresponding ...
Zhiting Fei +3 more
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An Improved Iterative Reweighted STAP Algorithm for Airborne Radar
Remote Sensing, 2022 In recent years, sparse recovery-based space-time adaptive processing (SR-STAP) technique has exhibited excellent performance with insufficient samples.
Weichen Cui +3 more
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An Overview on Sparse Recovery-based STAP
Leida xuebao, 2014 This paper gives a brief review on the Sparse-Recovery (SR)-based Space-Time Adaptive Processing (STAP) technique. First, the motivation for introducing sparse recovery into STAP is presented.
Ma Ze-qiang +3 more
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A Fast Space-Time Adaptive Processing Algorithm Based on Sparse Bayesian Learning for Airborne Radar
Sensors, 2022 Space-time adaptive processing (STAP) plays an essential role in clutter suppression and moving target detection in airborne radar systems. The main difficulty is that independent and identically distributed (i.i.d) training samples may not be sufficient
Cheng Liu +3 more
doaj +1 more source