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Open AccessArticle

Accurate Wide Angle SAR Imaging Based on LS-CS-Residual

1
Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
2
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China
3
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(3), 490; https://doi.org/10.3390/s19030490
Received: 4 December 2018 / Revised: 19 January 2019 / Accepted: 22 January 2019 / Published: 25 January 2019
(This article belongs to the Special Issue Synthetic Aperture Radar (SAR) Techniques and Applications)
Wide angle synthetic aperture radar (WASAR) receives data from a large angle, which causes the problem of aspect dependent scattering. L 1 regularization is a common compressed sensing (CS) model. The L 1 regularization based WASAR imaging method divides the whole aperture into subapertures and reconstructs the subaperture images individually. However, the aspect dependent scattering recovery of it is not accurate. The subaperture images of WASAR can be regarded as the SAR video. The support set among the different frames of SAR video are highly overlapped. Least squares on compressed sensing residuals (LS-CS-Residuals) can reconstruct the time sequences of sparse signals which change slowly with time. This is to replace CS on the observation by CS on the least squares (LS) residual computed using the prior estimate of the support. In this paper, we introduce LS-CS-Residual into WASAR imaging. In the iteration of LS-CS-Residual, the azimuth-range decoupled operators are used to avoid the huge memory cost. Real data processing results show that LS-CS-Residual can estimate the aspect dependent scatterings of the targets more accurately than CS based methods. View Full-Text
Keywords: wide angle SAR; compressed sensing; LS-CS-Residual; aspect dependent wide angle SAR; compressed sensing; LS-CS-Residual; aspect dependent
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MDPI and ACS Style

Wei, Z.; Zhang, B.; Wu, Y. Accurate Wide Angle SAR Imaging Based on LS-CS-Residual. Sensors 2019, 19, 490.

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