Spaceborne ISAL Imaging Algorithm for High-Speed Moving Targets
During the spaceborne inverse synthetic aperture ladar (ISAL) imaging, the radial velocity between the piggyback satellite of ladar and the observed satellite is usually relatively large, which will introduce the inner-pulse Doppler that cannot be ignored in the echo. In this case, the traditional &...
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Format: | Article |
Language: | English |
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IEEE
2023-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10210026/ |
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author | Hongfei Yin Yachao Li Liang Guo Songyuan Li Xuan Wang Liang Han Mengdao Xing |
author_facet | Hongfei Yin Yachao Li Liang Guo Songyuan Li Xuan Wang Liang Han Mengdao Xing |
author_sort | Hongfei Yin |
collection | DOAJ |
description | During the spaceborne inverse synthetic aperture ladar (ISAL) imaging, the radial velocity between the piggyback satellite of ladar and the observed satellite is usually relatively large, which will introduce the inner-pulse Doppler that cannot be ignored in the echo. In this case, the traditional “stop-and-go” assumption will no longer hold, and the compressed result along the range direction would be seriously broaden. Therefore, to obtain a well-focused ISAL image, this article proposed a spaceborne ISAL imaging algorithm for high-speed moving targets based on the inner-pulse Doppler compensation and residue video phase (RVP) correction. In the article, the estimate method of the radial velocity, the inner-pulse Doppler compensation method, and the RVP correction method are given. After inner-pulse Doppler compensation, RVP correction and translational motion compensation, the range-compressed result under the “stop-and-go” assumption can be obtained, and the target can then be imaged by the traditional ISAL imaging algorithm. The simulation results demonstrate the effectiveness of the proposed algorithm. |
first_indexed | 2024-03-12T14:02:27Z |
format | Article |
id | doaj.art-1873d88dd1904e65884464b4bc4d8a0a |
institution | Directory Open Access Journal |
issn | 2151-1535 |
language | English |
last_indexed | 2024-03-12T14:02:27Z |
publishDate | 2023-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
spelling | doaj.art-1873d88dd1904e65884464b4bc4d8a0a2023-08-21T23:00:17ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-01167486749610.1109/JSTARS.2023.330257010210026Spaceborne ISAL Imaging Algorithm for High-Speed Moving TargetsHongfei Yin0https://orcid.org/0009-0001-7173-5050Yachao Li1https://orcid.org/0000-0002-6672-367XLiang Guo2https://orcid.org/0000-0001-6296-6028Songyuan Li3Xuan Wang4https://orcid.org/0000-0002-9296-0660Liang Han5Mengdao Xing6https://orcid.org/0000-0002-4084-0915Hangzhou Institute of Technology, Xidian University, Hangzhou, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi'an, ChinaSchool of Optoelectronic Engineering, Xidian University, Xi'an, ChinaSchool of Optoelectronic Engineering, Xidian University, Xi'an, ChinaSchool of Optoelectronic Engineering, Xidian University, Xi'an, ChinaSchool of Optoelectronic Engineering, Xidian University, Xi'an, ChinaNational Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Quantum Information of Shaanxi Province, Xidian University, Xi'an, ChinaDuring the spaceborne inverse synthetic aperture ladar (ISAL) imaging, the radial velocity between the piggyback satellite of ladar and the observed satellite is usually relatively large, which will introduce the inner-pulse Doppler that cannot be ignored in the echo. In this case, the traditional “stop-and-go” assumption will no longer hold, and the compressed result along the range direction would be seriously broaden. Therefore, to obtain a well-focused ISAL image, this article proposed a spaceborne ISAL imaging algorithm for high-speed moving targets based on the inner-pulse Doppler compensation and residue video phase (RVP) correction. In the article, the estimate method of the radial velocity, the inner-pulse Doppler compensation method, and the RVP correction method are given. After inner-pulse Doppler compensation, RVP correction and translational motion compensation, the range-compressed result under the “stop-and-go” assumption can be obtained, and the target can then be imaged by the traditional ISAL imaging algorithm. The simulation results demonstrate the effectiveness of the proposed algorithm.https://ieeexplore.ieee.org/document/10210026/High-speed moving targetsinner-pulse Doppler compensationinverse synthetic aperture ladar (ISAL)residue video phase (RVP) correction |
spellingShingle | Hongfei Yin Yachao Li Liang Guo Songyuan Li Xuan Wang Liang Han Mengdao Xing Spaceborne ISAL Imaging Algorithm for High-Speed Moving Targets IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing High-speed moving targets inner-pulse Doppler compensation inverse synthetic aperture ladar (ISAL) residue video phase (RVP) correction |
title | Spaceborne ISAL Imaging Algorithm for High-Speed Moving Targets |
title_full | Spaceborne ISAL Imaging Algorithm for High-Speed Moving Targets |
title_fullStr | Spaceborne ISAL Imaging Algorithm for High-Speed Moving Targets |
title_full_unstemmed | Spaceborne ISAL Imaging Algorithm for High-Speed Moving Targets |
title_short | Spaceborne ISAL Imaging Algorithm for High-Speed Moving Targets |
title_sort | spaceborne isal imaging algorithm for high speed moving targets |
topic | High-speed moving targets inner-pulse Doppler compensation inverse synthetic aperture ladar (ISAL) residue video phase (RVP) correction |
url | https://ieeexplore.ieee.org/document/10210026/ |
work_keys_str_mv | AT hongfeiyin spaceborneisalimagingalgorithmforhighspeedmovingtargets AT yachaoli spaceborneisalimagingalgorithmforhighspeedmovingtargets AT liangguo spaceborneisalimagingalgorithmforhighspeedmovingtargets AT songyuanli spaceborneisalimagingalgorithmforhighspeedmovingtargets AT xuanwang spaceborneisalimagingalgorithmforhighspeedmovingtargets AT lianghan spaceborneisalimagingalgorithmforhighspeedmovingtargets AT mengdaoxing spaceborneisalimagingalgorithmforhighspeedmovingtargets |