Sparse With Fast MM Superresolution Algorithm for Radar Forward-Looking Imaging

The problem of low azimuth resolution has restricted the applicability for radar forward-looking imaging in practice. In this paper, a sparse with fast majorization-minimization (SFMM) superresolution algorithm was proposed to realize fast superresolution imaging of sparse targets in radar forward-l...

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Autors principals:	Qiping Zhang, Yin Zhang, Yulin Huang, Yongchao Zhang, Wenchao Li, Jianyu Yang
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2019-01-01
Col·lecció:	IEEE Access
Matèries:	Superresolution radar imaging majorization-minimization vector extrapolation
Accés en línia:	https://ieeexplore.ieee.org/document/8784287/
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