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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Main Authors: Hongfei Yin, Yachao Li, Liang Guo, Songyuan Li, Xuan Wang, Liang Han, Mengdao Xing
Format: Article
Language:English
Published: IEEE 2023-01-01
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.
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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/
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AT yachaoli spaceborneisalimagingalgorithmforhighspeedmovingtargets
AT liangguo spaceborneisalimagingalgorithmforhighspeedmovingtargets
AT songyuanli spaceborneisalimagingalgorithmforhighspeedmovingtargets
AT xuanwang spaceborneisalimagingalgorithmforhighspeedmovingtargets
AT lianghan spaceborneisalimagingalgorithmforhighspeedmovingtargets
AT mengdaoxing spaceborneisalimagingalgorithmforhighspeedmovingtargets