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

doi:10.1117/1.JRS.10.015008

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 +

Journal of Applied Remote Sensing, Vol. 10, Issue 1, 015008 (January 2016). https://doi.org/10.1117/1.JRS.10.015008

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.

Citation Download Citation

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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