A study of synthetic aperture radar imaging with compressed sensing
Synthetic Aperture Radar (SAR) is a popular and important high resolution radar imaging method. Compressed sensing is an emerging technology with potential to reduce high data acquisition, storage, and transmission of conventional SAR. In this paper, we present a SAR imaging study with compressed se...
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sg-ntu-dr.10356-501962023-07-07T16:25:37Z A study of synthetic aperture radar imaging with compressed sensing Wen, Bihan. Lu Yilong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio Synthetic Aperture Radar (SAR) is a popular and important high resolution radar imaging method. Compressed sensing is an emerging technology with potential to reduce high data acquisition, storage, and transmission of conventional SAR. In this paper, we present a SAR imaging study with compressed sensing (CS). In this study, random aperiodic array is used for SAR imaging and the split bregman method is used for compressed sensing (CS) recovery. Both computer simulation and experiment results show that the proposed CS approach is effective in SAR target detection. Bachelor of Engineering 2012-05-31T01:52:29Z 2012-05-31T01:52:29Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/50196 en Nanyang Technological University 58 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio Wen, Bihan. A study of synthetic aperture radar imaging with compressed sensing |
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Synthetic Aperture Radar (SAR) is a popular and important high resolution radar imaging method. Compressed sensing is an emerging technology with potential to reduce high data acquisition, storage, and transmission of conventional SAR. In this paper, we present a SAR imaging study with compressed sensing (CS). In this study, random aperiodic array is used for SAR imaging and the split bregman method is used for compressed sensing (CS) recovery. Both computer simulation and experiment results show that the proposed CS approach is effective in SAR target detection. |
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Lu Yilong |
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Lu Yilong Wen, Bihan. |
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Final Year Project |
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Wen, Bihan. |
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Wen, Bihan. |
title |
A study of synthetic aperture radar imaging with compressed sensing |
title_short |
A study of synthetic aperture radar imaging with compressed sensing |
title_full |
A study of synthetic aperture radar imaging with compressed sensing |
title_fullStr |
A study of synthetic aperture radar imaging with compressed sensing |
title_full_unstemmed |
A study of synthetic aperture radar imaging with compressed sensing |
title_sort |
study of synthetic aperture radar imaging with compressed sensing |
publishDate |
2012 |
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http://hdl.handle.net/10356/50196 |
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1772829012209434624 |