Fast Tensor-based Three-dimensional Sparse Bayesian Learning Space-Time Adaptive Processing Method

When airborne radar is applied to the non-side-looking mode, moving target detection performance considerably degrades because of the nonstationary clutter. Conventional three-dimensional (3D) Space-Time Adaptive Processing (STAP) can effectively eliminate the nonstationary clutter via adaptively co...

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Detalhes bibliográficos
Main Authors: Ning CUI, Kun XING, Keqing DUAN, Zhongjun YU
Formato: Artigo
Idioma:Inglês
Publicado em: China Science Publishing & Media Ltd. (CSPM) 2021-12-01
Colecção:Leida xuebao
Assuntos:
three-dimensional space-time adaptive processing (3d-stap)
sparse recovery (sr)
airborne radar
non-stationary clutter
tensor structure
Acesso em linha:https://radars.ac.cn/cn/article/doi/10.12000/JR21140
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