Results 11 to 20 of about 1,288,009 (328)
IEEE Access, 2017 An efficient and training-sample-reducing space-time adaptive processing (STAP) algorithm based on sparse representation for ground clutter suppression in airborne radar is proposed in this paper. First of all, the principle and problems of sample matrix
Yiduo Guo, G. Liao, W. Feng
semanticscholar +3 more sources
Radar Space-Time Adaptive Processing [PDF]
EURASIP Journal on Advances in Signal Processing, 2006 Lesturgie Marc +4 more
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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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Polyphase Waveform Design for MIMO Radar Space Time Adaptive Processing [PDF]
IEEE Transactions on Signal Processing, 2020 We consider the design of polyphase waveforms for ground moving target detection with airborne multiple-input-multiple-output (MIMO) radar. Due to the constant-modulus and finite-alphabet constraint on the waveforms, the associated design problem is non ...
B. Tang, Jonathan Tuck, P. Stoica
semanticscholar +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
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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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Learning-based space-time adaptive processing [PDF]
2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2013 Space-time adaptive processing (STAP) has been used for many years in moving target indicator (MTI) radars to solve the problem of target detection in presence of an interfering environment. Over the years, different versions of STAP have been introduced to enhance its performance and overcome its practical difficulties.
Alaa El Khatib +2 more
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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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