Results 51 to 60 of about 363 (153)

Three-dimensional sparse recovery space-time adaptive processing for airborne radar

open access: yesThe Journal of Engineering, 2019
Conventional 3-dimensional (3D) space-time adaptive processing (STAP) has achieved good performance for non-stationary clutter suppression. However, the performance of 3D STAP rapidly degrades when applied to heterogeneous clutter environment due to the ...
Keqing Duan   +4 more
doaj   +1 more source

Robust Algorithm for Adaptive Processingin Strong Space time Clutter Envirnment

open access: yes工程科学与技术, 2009
:A novel Quiescent Pattern Control(QPC) approach was proposed for airborne radar weak signal detection in strong space time clutter environment. The new QPC approach imposed quadratic beampattern constraints in the adaptive processing and exploited the ...
doaj  

Sea Clutter Suppression by Atomic Norm Minimisation in Frequency Diverse Array‐Space‐Time Adaptive Processing Radar Under Range Ambiguity

open access: yesIET Radar, Sonar & Navigation
Sea clutter suppression is a hot topic for airborne radar. Space‐time adaptive processing (STAP) is a useful approach to address this issue. Currently, range ambiguity is a problem to restrict conventional STAP performance.
Zhao Wang   +4 more
doaj   +1 more source

Fast Iterative Subspace Algorithms for Airborne STAP Radar

open access: yesEURASIP Journal on Advances in Signal Processing, 2006
Space-time adaptive processing (STAP) is a crucial technique for the new generation airborne radar for Doppler spread compensation caused by the platform motion. We here propose to apply range cell snapshots-based recursive algorithms in order to reduce
Belkacemi Hocine, Marcos Sylvie
doaj   +1 more source

Collaborative Nonlinear Space-time Adaptive Processing and Pulse Compression Based on Neural Networks

open access: yesLeida xuebao
Traditional 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   +1 more source

Joint Correlations Sparse Bayesian Learning STAP With Prior Knowledge of Clutter Ridge

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Space-time adaptive processing (STAP) based on sparse Bayesian learning (SBL) can significantly improve clutter suppression performance utilizing clutter sparsity.
Junhao Cui, Zhangxin Chen, Jing Liang
doaj   +1 more source

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