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 Publication in the conference proceedings of EUSIPCO, Glasgow, Scotland ...
Marcos, Sylvie
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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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Dense false target jamming suppression for airborne superimposed stepped frequency radar
IET Radar, Sonar & Navigation, 2021 Traditional space‐time adaptive processing (STAP) suffers from severe performance degradation in dense false target jamming scenarios, especially mainlobe deceptive jamming.
Wei Chen +4 more
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The Journal of Engineering, 2019 Conventional space-time adaptive processing (STAP) achieves clutter suppression by combining spatial signals and the temporal pulses. However, extreme slow-moving target cannot be effectively detected by space-time joint filtering in ambiguous and non ...
Yuze Sun, Jian Yang, Xiaopeng Yang
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Robust Multiple-Measurement Sparsity-Aware STAP with Bayesian Variational Autoencoder
Remote Sensing, 2022 Due to the shortage of independent and identically distributed (i.i.d.) training samples, space−time adaptive processing (STAP) often suffers remarkable performance degradation in the heterogeneous clutter environment.
Chenxi Zhang +6 more
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