29 January 2016 Imaging method for downward-looking sparse linear array three-dimensional synthetic aperture radar based on reweighted atomic norm
Qian Bao, Kuoye Han, Yun Lin, Bingchen Zhang, Jianguo Liu, Wen Hong
Author Affiliations +
Funded by: Chinese Academy of Sciences International Partnership Project, National Natural Science Foundation of China, National Natural Science Foundation Project
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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2016/$25.00 © 2016 SPIE
Qian Bao, Kuoye Han, Yun Lin, Bingchen Zhang, Jianguo Liu, and Wen Hong "Imaging method for downward-looking sparse linear array three-dimensional synthetic aperture radar based on reweighted atomic norm," Journal of Applied Remote Sensing 10(1), 015008 (29 January 2016). https://doi.org/10.1117/1.JRS.10.015008
Published: 29 January 2016
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Cited by 7 scholarly publications.
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KEYWORDS
3D image processing

Synthetic aperture radar

Reconstruction algorithms

Radar imaging

Signal to noise ratio

Stereoscopy

Imaging systems

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