Results 71 to 80 of about 22,571 (199)

Element‐localized Doppler STAP (Space Time Adaptive Processing) for clutter suppression in automotive forward‐looking RADAR [PDF]

, 2006
Takayuki Inaba
openalex   +1 more source

Proceedings 35th Symposium ESVN‐ECVN

Journal of Veterinary Internal Medicine, Volume 39, Issue 2, March/April 2025.
wiley   +1 more source

Sparsity-Based Non-Stationary Clutter Suppression Technique for Airborne Radar

IEEE Access, 2018
Conventional space-time adaptive processing (STAP) technique can achieve perfect performance when applied to side-looking airborne radar (SLAR), where the clutter is relatively stationary, whereas it suffers significant degradation for non-SLAR due to ...
Keqing Duan, Huadong Yuan, Hong Xu, Weijian Liu, Yongliang Wang   +4 more
doaj   +1 more source

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

Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP) [PDF]

, 2016
Bosung Kang
openalex   +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

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

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 Novel Clutter Suppression Method Based on Sparse Bayesian Learning for Airborne Passive Bistatic Radar with Contaminated Reference Signal. [PDF]

Sensors (Basel), 2021
Wang J, Wang J, Zhu Y, Zhao D.
europepmc   +1 more source