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Sparsity-driven synthetic aperture radar imaging [Reconstruction, autofocusing, moving targets, and compressed sensing]

Çetin, Müjdat and Stojanovic, Ivana and Önhon, Özben Naime and Varshney, Kush R. and Samadi, Sadegh and Karl, W. Clem and Willsky, Alan S. (2014) Sparsity-driven synthetic aperture radar imaging [Reconstruction, autofocusing, moving targets, and compressed sensing]. IEEE Signal Processing Magazine, 31 (4). pp. 27-40. ISSN 1053-5888 (Print) 1558-0792 (Online)

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Official URL: http://dx.doi.org/10.1109/MSP.2014.2312834

Abstract

This article presents a survey of recent research on sparsity-driven synthetic aperture radar (SAR) imaging. In particular, it reviews 1) the analysis and synthesis- based sparse signal representation formulations for SAR image formation together with the associated imaging results, 2) sparsity-based methods for wide-angle SAR imaging and anisotropy characterization, 3) sparsity-based methods for joint imaging and autofocusing from data with phase errors, 4) techniques for exploiting sparsity for SAR imaging of scenes containing moving objects, and 5) recent work on compressed sensing (CS)-based analysis and design of SAR sensing missions.

Item Type:Article
Uncontrolled Keywords:Radar imaging, synthetic aperture radar, sparse signal representation, compressed sensing
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:25634
Deposited By:Müjdat Çetin
Deposited On:19 Dec 2014 16:01
Last Modified:19 Dec 2014 16:01

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