Sparsity-driven bandwidth factorisation autofocus of high-resolution squint SAR imagery reconstructed by FFBP
In large squint high-resolution cases, smearing introduced by path deviation and air turbulence in synthetic aperture radar (SAR) imagery reconstructed via fast factorised backprojection algorithm (FFBP) will exist along space variant oblique angles. To refocus the blurred FFBP imagery, a motion pha...
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Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0318 |
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doaj-8abc4d2195154cf592085e754f1fbe792021-04-02T15:32:11ZengWileyThe Journal of Engineering2051-33052019-07-0110.1049/joe.2019.0318JOE.2019.0318Sparsity-driven bandwidth factorisation autofocus of high-resolution squint SAR imagery reconstructed by FFBPXin Wang0Xiaoxiao Sun1College of Communication and Information Engineering Nanjing University of Posts and TelecommunicationsCollege of Communication and Information Engineering Nanjing University of Posts and TelecommunicationsIn large squint high-resolution cases, smearing introduced by path deviation and air turbulence in synthetic aperture radar (SAR) imagery reconstructed via fast factorised backprojection algorithm (FFBP) will exist along space variant oblique angles. To refocus the blurred FFBP imagery, a motion phase error estimation and compensation methodology based on range bandwidth factorisation is proposed in this study. Motion phase error is estimated based on lower resolution data and then sparsity-driven combination is performed to derive the high-resolution refocused imagery. Extended point target simulation can verify the bandwidth-factorisation-based autofocus algorithm.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0318radar imagingsynthetic aperture radarimage reconstructionimage motion analysisimage resolutionsparsity-driven bandwidth factorisation autofocushigh-resolution squint SAR imagerysquint high-resolution casespath deviationair turbulencesynthetic aperture radar imageryfast factorised backprojection algorithmspace variant oblique anglesblurred FFBP imagerymotion phase error estimationcompensation methodologyrange bandwidth factorisationlower resolution datasparsity-driven combinationhigh-resolution refocused imagerybandwidth-factorisation-based autofocus algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xin Wang Xiaoxiao Sun |
spellingShingle |
Xin Wang Xiaoxiao Sun Sparsity-driven bandwidth factorisation autofocus of high-resolution squint SAR imagery reconstructed by FFBP The Journal of Engineering radar imaging synthetic aperture radar image reconstruction image motion analysis image resolution sparsity-driven bandwidth factorisation autofocus high-resolution squint SAR imagery squint high-resolution cases path deviation air turbulence synthetic aperture radar imagery fast factorised backprojection algorithm space variant oblique angles blurred FFBP imagery motion phase error estimation compensation methodology range bandwidth factorisation lower resolution data sparsity-driven combination high-resolution refocused imagery bandwidth-factorisation-based autofocus algorithm |
author_facet |
Xin Wang Xiaoxiao Sun |
author_sort |
Xin Wang |
title |
Sparsity-driven bandwidth factorisation autofocus of high-resolution squint SAR imagery reconstructed by FFBP |
title_short |
Sparsity-driven bandwidth factorisation autofocus of high-resolution squint SAR imagery reconstructed by FFBP |
title_full |
Sparsity-driven bandwidth factorisation autofocus of high-resolution squint SAR imagery reconstructed by FFBP |
title_fullStr |
Sparsity-driven bandwidth factorisation autofocus of high-resolution squint SAR imagery reconstructed by FFBP |
title_full_unstemmed |
Sparsity-driven bandwidth factorisation autofocus of high-resolution squint SAR imagery reconstructed by FFBP |
title_sort |
sparsity-driven bandwidth factorisation autofocus of high-resolution squint sar imagery reconstructed by ffbp |
publisher |
Wiley |
series |
The Journal of Engineering |
issn |
2051-3305 |
publishDate |
2019-07-01 |
description |
In large squint high-resolution cases, smearing introduced by path deviation and air turbulence in synthetic aperture radar (SAR) imagery reconstructed via fast factorised backprojection algorithm (FFBP) will exist along space variant oblique angles. To refocus the blurred FFBP imagery, a motion phase error estimation and compensation methodology based on range bandwidth factorisation is proposed in this study. Motion phase error is estimated based on lower resolution data and then sparsity-driven combination is performed to derive the high-resolution refocused imagery. Extended point target simulation can verify the bandwidth-factorisation-based autofocus algorithm. |
topic |
radar imaging synthetic aperture radar image reconstruction image motion analysis image resolution sparsity-driven bandwidth factorisation autofocus high-resolution squint SAR imagery squint high-resolution cases path deviation air turbulence synthetic aperture radar imagery fast factorised backprojection algorithm space variant oblique angles blurred FFBP imagery motion phase error estimation compensation methodology range bandwidth factorisation lower resolution data sparsity-driven combination high-resolution refocused imagery bandwidth-factorisation-based autofocus algorithm |
url |
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0318 |
work_keys_str_mv |
AT xinwang sparsitydrivenbandwidthfactorisationautofocusofhighresolutionsquintsarimageryreconstructedbyffbp AT xiaoxiaosun sparsitydrivenbandwidthfactorisationautofocusofhighresolutionsquintsarimageryreconstructedbyffbp |
_version_ |
1721559796280197120 |