A Fast Sparse Azimuth Super-Resolution Imaging Method of Real Aperture Radar Based on Iterative Reweighted Least Squares With Linear Sketching

It is greatly significant to achieve radar forward-looking region imaging. Due to the limitation of phase ambiguity and small Doppler gradient in forward-looking region, synthetic aperture radar and Doppler beam sharpening cannot work for forward-looking imaging, while real aperture radar (RAR) has...

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Bibliographic Details
Published in:	IEEE journal of selected topics in applied earth observations and remote sensing Vol. 14; pp. 2928 - 2941
Main Authors:	Tuo, Xingyu, Zhang, Yin, Huang, Yulin, Yang, Jianyu
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Antenna measurements Antennas Azimuth Computation Computer applications Doppler sonar Echoes Image resolution Imaging Imaging techniques Inversions Iterative methods Iterative reweighted least squares (IRLS) Least squares linear sketching (LS) Mathematical analysis Mathematics Matrix methods Objective function Optimization Radar Radar imaging real aperture radar (RAR) Resolution SAR (radar) Sharpening super-resolution imaging Superresolution Synthetic aperture radar
ISSN:	1939-1404, 2151-1535
Online Access:	Get full text
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