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Slow-Time Code Design for Space-Time Adaptive Processing in Airborne Radar [PDF]

open access: yesEntropy, 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
doaj   +2 more sources

Exploiting Persymmetry For Low-Rank Space Time Adaptive Processing [PDF]

open access: green, 2012
International audienceReducing the number of secondary data used to estimate the Covariance Matrix (CM) for Space Time Adaptive Processing (STAP) techniques is still an active research topic.
Guillaume Ginolhac   +3 more
openalex   +8 more sources

ADMM-Based Low-Complexity Off-Grid Space-Time Adaptive Processing Methods [PDF]

open access: goldIEEE 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
doaj   +2 more sources

Improved Variational Bayes for Space-Time Adaptive Processing [PDF]

open access: yesEntropy
To 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
doaj   +2 more sources

Phase-Only Space-Time Adaptive Processing [PDF]

open access: goldIEEE 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
doaj   +2 more sources

Training sample selection for space–time adaptive processing based on multi-frames [PDF]

open access: goldThe 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
doaj   +2 more sources

An Application of the Orthogonal Matching Pursuit Algorithm in Space-Time Adaptive Processing [PDF]

open access: yesSensors, 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
doaj   +2 more sources

A Space-time Adaptive Processing Algorithm Based on Joint Sparse Recovery [PDF]

open access: goldLeida 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
doaj   +2 more sources

A fast sparse Bayesian learning method with adaptive Laplace prior for space‐time adaptive processing

open access: goldIET 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

Reduced Degrees of Freedom in Space-Time Adaptive Processing for Space-based Early Warning Radar

open access: greenLeida xuebao, 2022
The clutter of space-based early warning radar exhibits tight coupling in the azimuth-elevation-Doppler domain due to the high speed of satellites and the Earth’s rotation.
Keqing DUAN   +4 more
doaj   +2 more sources

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