Results 21 to 30 of about 126,307 (254)
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
Reconfigurable computing for space-time adaptive processing [PDF]
Proceedings. IEEE Symposium on FPGAs for Custom Computing Machines (Cat. No.98TB100251), 2002 Space-time adaptive processing (STAP) refers to a class of signal processing techniques used to process returns of an antenna array radar system. STAP algorithms are designed to extract desired target signals from returns comprised of Doppler shifts, ground clutter, and jamming interference.
Nikhil D. Gupta +2 more
openaire +1 more source
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
doaj +1 more source
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
doaj +1 more source
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 +1 more source
Jointly Iterative Adaptive Approach Based Space Time Adaptive Processing Using MIMO Radar
IEEE Access, 2018 To solve the problem of large training samples requirement of space time adaptive processing (STAP), a jointly sparse matrices recovery-based method is proposed for clutter plus noise covariance matrix estimation by exploiting the transmitting waveform ...
Weike Feng +4 more
doaj +1 more source
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 +1 more source