Results 101 to 110 of about 4,896 (201)

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

MAXIMUM LIKELIHOOD ESTIMATION OF CLUTTER SUBSPACE IN NON HOMOGENEOUS NOISE CONTEXT

open access: yes, 2013
International audienceIn the context of a disturbance composed of a Low Rank (LR) clutter plus a white Gaussian noise, the corresponding LR filters used to detect a target embedded in this disturbance needs less training vectors than classical methods to
Breloy, Arnaud   +4 more
core  

FDA-STAP by Shrinkage Algorithm Under Range Ambiguity for Limited Training Samples

open access: yesIEEE Access
When airborne radar detects targets, space-time adaptive processing (STAP) performs a vital role in clutter rejection. As is known, clutter rejection is limited by range ambiguity.
Di Song   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy