NDLI: Fast two-dimensional sparse signal gridless recovery algorithm for MIMO array SAR 3D imaging

Content Provider	IET Digital Library
Author	Wu, Chunxiao Zhang, Zenghui Yu, Wenxian
Abstract	Multiple-input multiple-output (MIMO) array synthetic aperture radar (SAR) can be used to directly obtain the three-dimensional (3D) imagery of the illuminated scene with a single track. Due to the length limitations of synthetic aperture and antenna array, the super-resolution algorithms within the framework of 2D compressive sensing (CS) have been conceived to reconstruct the azimuth-cross-track plane image because of its spatial sparsity. Since the desired scatterers are presupposed to be distributed over a series of fixed grid points, the location accuracy of the existing 2D CS algorithms is relatively low. To overcome this problem, a fast 2D gridless recovery (GLR) algorithm for the 2D imaging signal model established in the real domain is proposed in this study. First, two different forms of 2D real-valued signal models with uniform or random sampling on the azimuth-cross-track plane are reconstructed by means of unitary transformation. Further, the real-domain based 2D sparse signal gridless reconstruction approach is derived. Finally, extensive simulation results validate that the proposed 2D real-valued GLR approach can approximately improve the computational efficiency by a factor of ten in terms of CPU time when compared with that of the 2D GLR algorithm in the complex domain.
Starting Page	1370
Ending Page	1381
Page Count	12
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 9, Sep (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2020.0065
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-05-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D Compressive Sensing 2D GLR Algorithm 2D Imaging Signal Model Antenna Array Azimuth-cross-track Plane Image Compressed Sensing Computer Vision And Image Processing Technique Fast 2D Gridless Recovery Fast Two-dimensional Fixed Grid Point Illuminated Scene Image Reconstruction Image Resolution Interpolation And Function Approximation Length Limitations MIMO Array SAR 3D Imaging MIMO Communication Multiple-input Multiple-output Array Synthetic Aperture Radar Numerical Analysis Optical, Image And Video Signal Processing Radar Equipment Radar Imaging Real-domain Based 2D Sparse Signal Gridless Reconstruction Approach Signal Model Signal Processing And Detection Single Track Super-resolution Algorithm Synthetic Aperture Radar System And Application Three-dimensional Imagery
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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