Results 101 to 110 of about 4,959 (205)

A New Statistical Method for Determining the Clutter Covariance Matrix in Spatial-Temporal Adaptive Processing of a Radar Signal. [PDF]

Sensors (Basel), 2023
Kawalec A, Ślesicka A, Ślesicki B.
europepmc   +1 more source

Low-Altitude Windshear Estimation Method Based on Four-Dimensional Frequency Domain Compensation for Fuselage Frustum Conformal Array. [PDF]

Sensors (Basel), 2022
Li H, Zheng L, Meng F.
europepmc   +1 more source

Fast Iterative Subspace Algorithms for Airborne STAP Radar

EURASIP 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

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   +1 more source

ePosters Virtual

European Journal of Neurology, Volume 32, Issue S1, June 2025.
wiley   +1 more source

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

Leida 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

A Space-Time Adaptive Processing Method Based on Sparse Bayesian Learning for Maneuvering Airborne Radar. [PDF]

Sensors (Basel), 2022
Zhang S, Wang T, Liu C, Wang D.
europepmc   +1 more source

Low-Altitude Windshear Wind Speed Estimation Method Based on KASPICE-STAP. [PDF]

Sensors (Basel), 2022
Li H, Chen Y, Feng K, Jin M.
europepmc   +1 more source

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

IEEE 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

A Fast Space-Time Adaptive Processing Algorithm Based on Sparse Bayesian Learning for Airborne Radar. [PDF]

Sensors (Basel), 2022
Liu C, Wang T, Zhang S, Ren B.
europepmc   +1 more source