SAR image reconstruction and autofocus by compressed sensing
Author
Ugur, S.
Arıkan, Orhan
Date
2012-07-24Source Title
Digital Signal Processing: A Review Journal
Print ISSN
1051-2004
Publisher
Elsevier
Volume
22
Issue
6
Pages
923 - 932
Language
English
Type
ArticleItem Usage Stats
131
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Abstract
A new SAR signal processing technique based on compressed sensing is proposed for autofocused image reconstruction on subsampled raw SAR data. It is shown that, if the residual phase error after INS/GPS corrected platform motion is captured in the signal model, then the optimal autofocused image formation can be formulated as a sparse reconstruction problem. To further improve image quality, the total variation of the reconstruction is used as a penalty term. In order to demonstrate the performance of the proposed technique in wide-band SAR systems, the measurements used in the reconstruction are formed by a new under-sampling pattern that can be easily implemented in practice by using slower rate A/D converters. Under a variety of metrics for the reconstruction quality, it is demonstrated that, even at high under-sampling ratios, the proposed technique provides reconstruction quality comparable to that obtained by the classical techniques which require full-band data without any under-sampling.
Keywords
AutofocusCompressed sensing
Phase error
SAR
Total variation
Under-sampling
Auto-focus
Compressive sensing
Phase error
SAR
Total variation
Under-sampling
Signal processing
Synthetic aperture radar
Image reconstruction