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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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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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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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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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Phase-Only Space-Time Adaptive Processing
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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Fast Variational Bayesian Inference for Space-Time Adaptive Processing
Remote Sensing, 2023 Space-time adaptive processing (STAP) approaches based on sparse Bayesian learning (SBL) have attracted much attention for the benefit of reducing the training samples requirement and accurately recovering sparse signals. However, it has the problem of a
Xinying Zhang, Tong Wang, Degen Wang
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Deep Unfolding Based Space-Time Adaptive Processing Method for Airborne Radar
Leida xuebao, 2022 The Sparse Recovery Space-Time Adaptive Processing (SR-STAP) method can use a small number of training range cells to effectively suppress the clutter of airborne radar.
Hangui ZHU +4 more
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Robust Space Time Adaptive Processing Methods for Synthetic Aperture Radar
Applied Sciences, 2020 This paper proposes two modified space time adaptive processing (STAP) methods based on piecewise sub-apertures and data constraints for non-stationary interference cancellation in synthetic aperture radar (SAR) applications. In these methods, the entire
Shijian Shen +5 more
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Frequency Diverse Array SAR With Fast-Time Space-Time Adaptive Processing for Subsurface Imaging
IEEE Access, 2023 Different from the ground penetration radar providing only one-dimensional image, synthetic aperture radar (SAR) can produce two-dimensional and even three-dimensional image, which is meaningful in subsurface imaging, but possible layover effects may be ...
Wen-Qin Wang
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Sensors, 2020 Due to the motion of the platform, the spectrum of first-order sea clutter will widen and mask low-velocity targets such as ships in shipborne high-frequency surface-wave radar (HFSWR).
Liang Guo +5 more
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