Spaceborne THz-ISAR Imaging of Space Target with Joint Motion Compensation Based on FrFT and GWO
Recently, terahertz (THz) radar has been widely researched for its high-resolution in space target imaging. Due to the high rendezvous speed and the short wavelength of THz radar, the traditional stop-and-go model, along with its supporting algorithms, is not applicable. Therefore, a method that joi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/13/2152 |
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| author | Ao Zhou Qi Yang Zhian Yuan Hongqiang Wang Jun Yi Shuangxun Li |
| author_facet | Ao Zhou Qi Yang Zhian Yuan Hongqiang Wang Jun Yi Shuangxun Li |
| author_sort | Ao Zhou |
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| description | Recently, terahertz (THz) radar has been widely researched for its high-resolution in space target imaging. Due to the high rendezvous speed and the short wavelength of THz radar, the traditional stop-and-go model, along with its supporting algorithms, is not applicable. Therefore, a method that jointly compensates the intra- and inter- pulse errors of space targets’ echo is proposed. The algorithm includes the following steps: firstly, a coarse estimation of targets’ translational velocity at part of pulses is conducted through Fractional Fourier transform (FrFT). Then, the improved least square fitting (ILSF) is employed to parameterize the velocity–time dependency of the target. Furthermore, the concept of synthetic waveform entropy (SWE) of a one-dimensional range profile is put forward as the accuracy metric of envelope alignment. Finally, with SWE serving as the fitness function, the Grey Wolf Optimizer (GWO) algorithm is used to search for optimal estimated translation parameters. After several iterations, a fine-grained estimation of target motion parameters is achieved, while simultaneously accomplishing precise joint compensation for intra-pulse and inter-pulse errors. The validity of the proposed method is verified by numerical simulation, electromagnetic calculation data, and field-measured data. |
| format | Article |
| id | doaj-art-9ee8416cabaa470881f79e61d8172cff |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-9ee8416cabaa470881f79e61d8172cff2025-08-20T03:50:20ZengMDPI AGRemote Sensing2072-42922025-06-011713215210.3390/rs17132152Spaceborne THz-ISAR Imaging of Space Target with Joint Motion Compensation Based on FrFT and GWOAo Zhou0Qi Yang1Zhian Yuan2Hongqiang Wang3Jun Yi4Shuangxun Li5College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaRecently, terahertz (THz) radar has been widely researched for its high-resolution in space target imaging. Due to the high rendezvous speed and the short wavelength of THz radar, the traditional stop-and-go model, along with its supporting algorithms, is not applicable. Therefore, a method that jointly compensates the intra- and inter- pulse errors of space targets’ echo is proposed. The algorithm includes the following steps: firstly, a coarse estimation of targets’ translational velocity at part of pulses is conducted through Fractional Fourier transform (FrFT). Then, the improved least square fitting (ILSF) is employed to parameterize the velocity–time dependency of the target. Furthermore, the concept of synthetic waveform entropy (SWE) of a one-dimensional range profile is put forward as the accuracy metric of envelope alignment. Finally, with SWE serving as the fitness function, the Grey Wolf Optimizer (GWO) algorithm is used to search for optimal estimated translation parameters. After several iterations, a fine-grained estimation of target motion parameters is achieved, while simultaneously accomplishing precise joint compensation for intra-pulse and inter-pulse errors. The validity of the proposed method is verified by numerical simulation, electromagnetic calculation data, and field-measured data.https://www.mdpi.com/2072-4292/17/13/2152terahertz (THz) radarinverse synthetic aperture radar (ISAR)Fractional Fourier transform (FrFT)Grey Wolf Optimizer (GWO) |
| spellingShingle | Ao Zhou Qi Yang Zhian Yuan Hongqiang Wang Jun Yi Shuangxun Li Spaceborne THz-ISAR Imaging of Space Target with Joint Motion Compensation Based on FrFT and GWO Remote Sensing terahertz (THz) radar inverse synthetic aperture radar (ISAR) Fractional Fourier transform (FrFT) Grey Wolf Optimizer (GWO) |
| title | Spaceborne THz-ISAR Imaging of Space Target with Joint Motion Compensation Based on FrFT and GWO |
| title_full | Spaceborne THz-ISAR Imaging of Space Target with Joint Motion Compensation Based on FrFT and GWO |
| title_fullStr | Spaceborne THz-ISAR Imaging of Space Target with Joint Motion Compensation Based on FrFT and GWO |
| title_full_unstemmed | Spaceborne THz-ISAR Imaging of Space Target with Joint Motion Compensation Based on FrFT and GWO |
| title_short | Spaceborne THz-ISAR Imaging of Space Target with Joint Motion Compensation Based on FrFT and GWO |
| title_sort | spaceborne thz isar imaging of space target with joint motion compensation based on frft and gwo |
| topic | terahertz (THz) radar inverse synthetic aperture radar (ISAR) Fractional Fourier transform (FrFT) Grey Wolf Optimizer (GWO) |
| url | https://www.mdpi.com/2072-4292/17/13/2152 |
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