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Content Provider | IEEE Xplore Digital Library |
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Author | Tian Jihua Sun Jinping Han Xiao Zhang Bingchen |
Copyright Year | 2011 |
Description | Author affiliation: Nat. Key Lab of MW Imaging Tech., Institute of Electronics, CAS, Beijing, China, 100190 (Zhang Bingchen) || School of Electronic and Information Engineering, Beihang University, Beijing, China, 100191 (Tian Jihua; Sun Jinping; Han Xiao) |
Abstract | The high resolution required by various modes of Synthetic Aperture Radar (SAR) results in a huge amount of sampling data, which brings a demand for bigger storage. Recently, a novel SAR concept based on Compressive Sensing (CS) theory asserts that an unknown sparse signal can be recovered exactly with an overwhelming probability even from what appear to be highly sub-Nyquist-rate samples. In this paper, the phase errors caused by radar platform motion are discussed for CS based SAR imaging, and autofocus processing is employed to implement motion compensation. The experiment results show that unfocused SAR images through CS recovery are different from conventional unfocused SAR images for the same motion caused phase error, and usually used Phase Gradient Autofocus (PGA) algorithm is still effective to CS based SAR motion compensation. |
Starting Page | 1564 |
Ending Page | 1567 |
File Size | 789464 |
Page Count | 4 |
File Format | |
ISBN | 9781424487547 |
e-ISBN | 9781424487561 |
e-ISBN | 9781424487554 |
DOI | 10.1109/ICIEA.2011.5975839 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-06-21 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Radar polarimetry Radar imaging Synthetic aperture radar Motion compensation Compressed sensing Electronics packaging Motion Compensation Compressed Sensing SAR Autofocus |
Content Type | Text |
Resource Type | Article |
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