ISAR IMAGING BASED ON ITERATIVE REWEIGHTED LP BLOCK SPARSE RECONSTRUCTION ALGORITHM | Zendy

Junjie Feng | Zendy; Gong Zhang | Zendy

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ISAR IMAGING BASED ON ITERATIVE REWEIGHTED LP BLOCK SPARSE RECONSTRUCTION ALGORITHM

Author(s) -

Junjie Feng,

Gong Zhang

Publication year - 2016

Publication title -

progress in electromagnetics research m

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 31

ISSN - 1937-8726

DOI - 10.2528/pierm16041501

Subject(s) - inverse synthetic aperture radar , compressed sensing , computer science , block (permutation group theory) , algorithm , signal recovery , iterative method , artificial intelligence , iterative reconstruction , radar imaging , computer vision , radar , mathematics , telecommunications , geometry

Sparse signal recovery algorithms can be used to improve radar imaging quality by using the sparse property of strong scatterers. Traditional sparse inverse synthetic aperture radar (ISAR) imaging algorithms mainly consider the recovery of sparse scatterers. However, the scatterers of an ISAR target usually exhibit block or group sparse structure. By utilizing the inherent block sparse structure of ISAR target images, an iterative reweighted lp (0

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