A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures
Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging...
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MDPI AG
2021
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oai:doaj.org-article:cc4091feba444df5b3534fc4be83521b2021-11-25T18:54:53ZA Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures10.3390/rs132246262072-4292https://doaj.org/article/cc4091feba444df5b3534fc4be83521b2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4626https://doaj.org/toc/2072-4292Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. Finally, the simulation experiments using both the simple scaled model of the satellite and measured data of an unmanned aerial vehicle (UAV) are conducted, and the effectiveness of the proposed method is verified.Tiehua ZhaoQihua WuFeng ZhaoZhiming XuShunping XiaoMDPI AGarticlecompressed sensingjoint reconstructionorthogonal coding aperturepolarization radar imagingScienceQENRemote Sensing, Vol 13, Iss 4626, p 4626 (2021) |
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DOAJ |
language |
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topic |
compressed sensing joint reconstruction orthogonal coding aperture polarization radar imaging Science Q |
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compressed sensing joint reconstruction orthogonal coding aperture polarization radar imaging Science Q Tiehua Zhao Qihua Wu Feng Zhao Zhiming Xu Shunping Xiao A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures |
description |
Imaging radar is widely applied in both military and civil fields, including remote sensing. In recent years, polarization information has attracted more and more attention in the imaging radar. The orthogonality between different channels is always the core problem for the full-polarization imaging radar. To solve this problem, an image reconstruction method using orthogonal coding apertures technique is proposed for full-polarization imaging radar in this paper. Firstly, the signal model of the orthogonal coding apertures is proposed. This model realizes the ideal time-domain orthogonality between switching two channels by the apertures with two trains of orthogonal codes. Then, a multichannel joint reconstruction method based on compressed sensing is proposed for the imaging processing, which is named the coded aperture simultaneous orthogonal matching pursuit (CAS-OMP) algorithm. The proposed algorithm combines the information of all polarization channels so as to ensure the consistency of the scattering point position obtained by each polarization channel and also improves the reconstruction accuracy. Finally, the simulation experiments using both the simple scaled model of the satellite and measured data of an unmanned aerial vehicle (UAV) are conducted, and the effectiveness of the proposed method is verified. |
format |
article |
author |
Tiehua Zhao Qihua Wu Feng Zhao Zhiming Xu Shunping Xiao |
author_facet |
Tiehua Zhao Qihua Wu Feng Zhao Zhiming Xu Shunping Xiao |
author_sort |
Tiehua Zhao |
title |
A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures |
title_short |
A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures |
title_full |
A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures |
title_fullStr |
A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures |
title_full_unstemmed |
A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures |
title_sort |
full-polarization radar image reconstruction method with orthogonal coding apertures |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/cc4091feba444df5b3534fc4be83521b |
work_keys_str_mv |
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1718410553610731520 |