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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Bibliographic Details
Published in:	IEEE geoscience and remote sensing letters Vol. 20; p. 1
Main Authors:	Tuo, Xingyu, Mao, Deqing, Zhang, Yin, Zhang, Yongchao, Huang, Yulin, Yang, Jianyu
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
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