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Exploiting persymmetry for low-rank Space Time Adaptive Processing [PDF]
Signal Processing, 2014 Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Ginolhac, Guillaume +3 more
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Improved Variational Bayes for Space-Time Adaptive Processing [PDF]
EntropyTo tackle the challenge of enhancing moving target detection performance in environments characterized by small sample sizes and non-uniformity, methods rooted in sparse signal reconstruction have been incorporated into Space-Time Adaptive Processing ...
Kun Li +5 more
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Slow-Time Code Design for Space-Time Adaptive Processing in Airborne Radar [PDF]
Entropy, 2021 Space-time adaptive processing (STAP) techniques have been motivated as a key enabling technology for advanced airborne radar applications. In this paper, a slow-time code design is considered for the STAP technique in airborne radar, and the principle ...
Shiyi Li +4 more
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Phase-Only Space-Time Adaptive Processing [PDF]
IEEE Access, 2021 Space-time adaptive processing (STAP) is a well-known and effective method to detect targets, obscured by interference, from airborne radars that works by coherently combining signals from a phased antenna array (spatial domain) with multiple radar ...
Luca Pallotta +3 more
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ADMM-Based Low-Complexity Off-Grid Space-Time Adaptive Processing Methods [PDF]
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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Training sample selection for space–time adaptive processing based on multi-frames [PDF]
The Journal of Engineering, 2019 As training samples are not identically distributed with cell under test (CUT) in heterogeneous environments, the performance of space–time adaptive processing (STAP) to suppress clutter degrades. To improve the performance of STAP, this study proposes a
Chenxiao Zhang +3 more
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An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing [PDF]
Sensors, 2020 The article presents a new space-time adaptive processing (STAP) method for target detection in a heterogeneous and non-stationary environment. In study it was proven that it is possible to estimate the clutter covariance matrix (CCM) in STAP by using ...
Anna Ślesicka, Adam Kawalec
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A Space-time Adaptive Processing Algorithm Based on Joint Sparse Recovery [PDF]
Leida xuebao, 2014 Sparse recovery Space-Time Adaptive Processing (STAP) methods for obtaining the clutter spectrum require few training samples and can effectively suppress clutter in nonhomogeneous clutter environments.
Duan Ke-qing +4 more
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Subband Array Implementations for Space-Time Adaptive Processing [PDF]
EURASIP Journal on Advances in Signal Processing, 2005 Intersymbol interference (ISI) and cochannel interference (CCI) are two primary sources of signal impairment in mobile communications. In order to suppress both ISI and CCI, space-time adaptive processing (STAP) has been shown to be effective in ...
Yang Kehu, Zhang Yimin, Amin Moeness G
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IET Radar, Sonar & Navigation, 2022 Space‐time adaptive processing with finite samples is supposed to be a crucial technique for airborne radar systems. Inspired by the application of Gaussian prior in sparse Bayesian learning algorithm and the adaptive least absolute shrinkage and ...
Degen Wang, Tong Wang, Weichen Cui
doaj +2 more sources