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Journal of Applied Remote Sensing

Imaging method for downward-looking sparse linear array three-dimensional synthetic aperture radar based on reweighted atomic norm
Author(s): Qian Bao; Kuoye Han; Yun Lin; Bingchen Zhang; Jianguo Liu; Wen Hong
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Paper Abstract

We propose an imaging algorithm for downward-looking sparse linear array three-dimensional synthetic aperture radar (DLSLA 3-D SAR) in the circumstance of cross-track sparse and nonuniform array configuration. Considering the off-grid effect and the resolution improvement, the algorithm combines pseudo-polar formatting algorithm, reweighed atomic norm minimization (RANM), and a parametric relaxation-based cyclic approach (RELAX) to improve the imaging performance with a reduced number of array antennas. RANM is employed in the cross-track imaging after pseudo-polar formatting the DLSLA 3-D SAR echo signal, then the reconstructed results are refined by RELAX. By taking advantage of the reweighted scheme, RANM can improve the resolution of the atomic norm minimization, and outperforms discretized compressive sensing schemes that suffer from off-grid effect. The simulated and real data experiments of DLSLA 3-D SAR verify the performance of the proposed algorithm.

Paper Details

Date Published: 29 January 2016
PDF: 13 pages
J. Appl. Remote Sens. 10(1) 015008 doi: 10.1117/1.JRS.10.015008
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Qian Bao, Institute of Electronics (China)
Kuoye Han, China Electronics Technology Group Corp. (China)
Yun Lin, Institute of Electronics (China)
Bingchen Zhang, Institute of Electronics (China)
Jianguo Liu, Imperial College London (United Kingdom)
Wen Hong, Institute of Electronics (China)


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