Gridless Sparse ISAR Imaging via 2-D Fast Reweighted Atomic Norm Minimization

Aiming at acquiring high-resolution ISAR image effectively and quickly, a new fast gridless imaging method with a sound two-dimensional (2-D) reweighting strategy is proposed in this letter. First, the received echo is characterized as a weighted linear combination of 2-D frequencies chosen from a m...

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Vydáno v:	IEEE geoscience and remote sensing letters Ročník 19; s. 1 - 5
Hlavní autoři:	Mingjiu, Lv, Chen, Wenfeng, Ma, Jianchao, Yang, Jun, Cheng, Qi, Ma, Xiaoyan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Alternating direction method of multipliers (ADMM) Apertures atomic norm minimization (ANM) Computer applications Echoes High resolution Image acquisition Image resolution Imaging Imaging techniques inverse synthetic aperture radar (ISAR) Iterative methods Mathematical analysis Methods Minimization Numerical experiments off grid Optimization Optimization models Radar imaging Resolution Sparse matrices stepped frequency signal Two dimensional models
ISSN:	1545-598X, 1558-0571
On-line přístup:	Získat plný text
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