Reduced Degrees of Freedom in Space-Time Adaptive Processing for Space-based Early Warning Radar
Leida 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
Space-Time Adaptive Processing Based on Modified Sparse Learning via Iterative Minimization for Conformal Array Radar. [PDF]
Sensors (Basel), 2022 Ren B, Wang T.
europepmc +3 more sources
Leida xuebaoTraditional airborne radar Pulse Compression (PC) and Space-Time Adaptive Processing (STAP) suffer performance degradation in complex target and clutter environments due to their reliance on predefined linear models. To address this issue, we developed a
Zhipeng LIAO, Keqing DUAN, Fei GAO
doaj +2 more sources
A Modified Fast Approximated Power Iteration Subspace Tracking Method for Space-Time Adaptive Processing [PDF]
Journal of Electrical and Computer Engineering, 2010 We propose a subspace-tracking-based space-time adaptive processing technique for airborne radar applications. By applying a modified approximated power iteration subspace tracing algorithm, the principal subspace in which the clutter-plus-interference ...
Yang Zhiwei +3 more
doaj +2 more sources
Radar Space-Time Adaptive Processing [PDF]
EURASIP Journal on Advances in Signal Processing, 2006 Lesturgie Marc +4 more
doaj +2 more sources
Overview of Space-Time Adaptive Processing for Airborne Multiple-Input Multiple-Output Radar
Leida xuebao, 2015 Multiple-Input Multiple-Output (MIMO) radar is an emerging radar system that is of great interest to military and academic organizations due to its advantages and extensive applications.
Wang Ting, Zhao Yong-jun, Hu Tao
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source