Imaging method based on compressed sensing for the cognitive sparse aperture of ISAR

Focused on the problem that different ISAR targets required different measurement dimension and different imaging time when they were imaging with compressed sensing(CS)theory,a cognitive high-resolution imaging method based on CS was proposed.According to the cognition of the sparsity of the radar...

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Main Authors: Feng-lian SUN, Qun ZHANG, Ying LUO, Fu-fei GU, Guo-zheng WANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2012-11-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.038/
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author Feng-lian SUN
Qun ZHANG
Ying LUO
Fu-fei GU
Guo-zheng WANG
author_facet Feng-lian SUN
Qun ZHANG
Ying LUO
Fu-fei GU
Guo-zheng WANG
author_sort Feng-lian SUN
collection DOAJ
description Focused on the problem that different ISAR targets required different measurement dimension and different imaging time when they were imaging with compressed sensing(CS)theory,a cognitive high-resolution imaging method based on CS was proposed.According to the cognition of the sparsity of the radar target,a stochastic measurement matrix was established based on the imaging time and the target’s cross-range sparsity.An evaluate criterion of imaging quality was also present.Based on this,the cognitive high-resolution imaging was realized with the limited radar resource.Simulation results indicate that the proposed method can gain the high quality ISAR imaging with much less transmitted pulses and shorter imaging time compare to traditional imaging radar.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2012-11-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-1f67e3c9fd27424f9800124207c4db842025-01-14T06:34:38ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-11-013326226959670398Imaging method based on compressed sensing for the cognitive sparse aperture of ISARFeng-lian SUNQun ZHANGYing LUOFu-fei GUGuo-zheng WANGFocused on the problem that different ISAR targets required different measurement dimension and different imaging time when they were imaging with compressed sensing(CS)theory,a cognitive high-resolution imaging method based on CS was proposed.According to the cognition of the sparsity of the radar target,a stochastic measurement matrix was established based on the imaging time and the target’s cross-range sparsity.An evaluate criterion of imaging quality was also present.Based on this,the cognitive high-resolution imaging was realized with the limited radar resource.Simulation results indicate that the proposed method can gain the high quality ISAR imaging with much less transmitted pulses and shorter imaging time compare to traditional imaging radar.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.038/inverse synthetic aperture radar(ISAR)compressed sensing(CS)cognitive imaging
spellingShingle Feng-lian SUN
Qun ZHANG
Ying LUO
Fu-fei GU
Guo-zheng WANG
Imaging method based on compressed sensing for the cognitive sparse aperture of ISAR
Tongxin xuebao
inverse synthetic aperture radar(ISAR)
compressed sensing(CS)
cognitive imaging
title Imaging method based on compressed sensing for the cognitive sparse aperture of ISAR
title_full Imaging method based on compressed sensing for the cognitive sparse aperture of ISAR
title_fullStr Imaging method based on compressed sensing for the cognitive sparse aperture of ISAR
title_full_unstemmed Imaging method based on compressed sensing for the cognitive sparse aperture of ISAR
title_short Imaging method based on compressed sensing for the cognitive sparse aperture of ISAR
title_sort imaging method based on compressed sensing for the cognitive sparse aperture of isar
topic inverse synthetic aperture radar(ISAR)
compressed sensing(CS)
cognitive imaging
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.038/
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AT yingluo imagingmethodbasedoncompressedsensingforthecognitivesparseapertureofisar
AT fufeigu imagingmethodbasedoncompressedsensingforthecognitivesparseapertureofisar
AT guozhengwang imagingmethodbasedoncompressedsensingforthecognitivesparseapertureofisar