NDLI: Parametric Narrow-Band InISAR 3D Imaging Based on Compressed Sensing

Content Provider	IET Digital Library
Author	G, Baoping W A N G, Yan Z H A N G, Yang F A N G, Zuxun S O N
Abstract	For muti-scatter point target and undersampled data, tradintional imaging method has a poor precision for imaging result and spin angular velocity. In view of the above problems, this paper proposes a narrow-band Interferometric inverse synthetic aperture radar(InISAR) 3-dimensional(3D) Compressed sensing imaging method based on the joint spin angle velocity error parameter estimation. First, a sparse model of narrow-band spin target is constructed. Then, the image entropy is used as the criterion function to search the optimal angle velocity by the joint reconstruction iteration. Finally, the image of the target is obtained by interference processing. The simulation results show that compared with the traditional method, the estimation of spin angular velocity and the imaging result are more accurate in proposed method.
Starting Page	508
Ending Page	514
Page Count	7
ISSN	10224653
Volume Number	29
e-ISSN	20755597
Issue Number	Issue 3, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/29/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2020.03.006
Journal	Chinese Journal of Electronics
Publisher Date	2020-05-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Compressed Sensing Compressed Sensing Imaging Entropy Error Parameter Estimation Image Entropy Image Reconstruction Interference Processing Interferometric Inverse Synthetic Aperture Radar Mutiscatter Point Target Narrow-band Spin Target Optical, Image And Video Signal Processing Optimal Angle Velocity Parameter Estimation Parametric Narrow-band InISAR 3D Imaging Radar Equipment Radar Imaging Radar Interferometry Radar Theory Reconstruction Iteration Spin Angular Velocity Synthetic Aperture Radar System And Application Undersampled Data
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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