A Two-Stage STAP Method Based on Fine Doppler Localization and Sparse Bayesian Learning in the Presence of Arbitrary Array Errors [PDF]
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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Range recursive space-time adaptive processing (STAP) for MIMO airborne RADAR
, 2009 International audienceThis paper presents a range recursive algorithm for the space time adaptive processing (STAP) of multi input multi output (MIMO) airborne radar signals involved in clutter rejection for the detection of slowly moving ground targets.
Marcos, Sylvie
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Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm [PDF]
IEEE Transactions on Signal Processing, 2010 In this paper, we propose a reduced-rank space-time adaptive processing (STAP) technique for airborne phased array radar applications. The proposed STAP method performs dimensionality reduction by using a reduced-rank switched joint interpolation ...
de Lamare, R.C., Fa, R., Wang, L.
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Remote Sensing, 2022 By introducing degrees of freedom (DOFs) in elevation, the elevation-azimuth-Doppler three-dimensional space–time adaptive processing (3D-STAP) methods have better performance when suppressing the nonstationary clutter caused by the Earth’s rotation in ...
Zhihao Wang +4 more
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IET Radar, Sonar & NavigationSea 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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Comparison of the performance of adaptive space-time processing against the background of alternative methods [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2020 Description and successive stages of the STAP algorithm were characterized in this article. The ability to detect an object by using 6-element antenna array without space-time processing and using the STAP technique were compared and shown.
Anna Ślesicka, Adam Kawalec
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The Study of the Possibility of Applying Parallel Programming to the Algorithms of Space-Time Adaptive Processing [PDF]
Problemy Mechatroniki, 2022 The article presents the description, assumptions and subsequent steps of the space-time adaptive processing (STAP) algorithms used as a signal processing tool in radars.
Błażej ŚLESICKI +2 more
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An Efficient Sparse Bayesian Learning STAP Algorithm with Adaptive Laplace Prior
Remote Sensing, 2022 Space-time adaptive processing (STAP) encounters severe performance degradation with insufficient training samples in inhomogeneous environments. Sparse Bayesian learning (SBL) algorithms have attracted extensive attention because of their robust and ...
Weichen Cui +3 more
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Two-Step Low-Complexity Space-Time Adaptive Processing (STAP) [PDF]
2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 2010 This work proposes a low-complexity space-time adaptive processing (STAP) algorithm for sensing applications built on a moving platform in the presence of strong clutters. The proposed algorithm achieves low-complexity computation via two steps. First, it utilizes improved fast approximated power iteration methods to compress the data into a much ...
Man-On Pun +4 more
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ADMM-Based Low-Complexity Off-Grid Space-Time Adaptive Processing Methods
IEEE Access, 2020 In this paper, we consider the problems of off-grid effects elimination and fast implementations for sparse recovery based space-time adaptive processing (SR-STAP) methods.
Zhongyue Li, Tong Wang
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