Sparse Target Batch-processing Framework for Scanning Radar Superresolution Imaging

Sparse superresolution algorithms have been applied in scanning radar imaging to improve its azimuth resolution. However, the inverse matrix in each iteration is usually diagonal loading by the updating result, which leads to huge computational complexity for two-dimensional echo data. In this lette...

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Vydané v:	IEEE geoscience and remote sensing letters Ročník 20; s. 1
Hlavní autori:	Tuo, Xingyu, Mao, Deqing, Zhang, Yin, Zhang, Yongchao, Huang, Yulin, Yang, Jianyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	ADMM Algorithms Azimuth batch-processing Convolution Echoes Frameworks Imaging techniques Iterative methods Optimization Radar Radar imaging Scanning scanning radar Sparse matrices Sparse superresolution Superresolution
ISSN:	1545-598X, 1558-0571
On-line prístup:	Získať plný text
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