Nonlinear Trajectory Synthetic Aperture Radar Imaging and Autofocus Algorithm Based on Sub-image Nonlinear Chirp Scaling
The radar echo signal may experience substantial two-dimensional spatial variance due to the nonlinear Synthetic Aperture Radar (SAR) trajectory. The traditional frequency-domain imaging algorithms based on the assumption of azimuth translational invariance are unsuitable for high-precision imaging...
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Format: | Article |
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China Science Publishing & Media Ltd. (CSPM)
2022-12-01
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Series: | Leida xuebao |
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Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR22171 |
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author | Jianlai CHEN Yi XIONG Gang XU Junchao ZHANG Degui YANG Buge LIANG |
author_facet | Jianlai CHEN Yi XIONG Gang XU Junchao ZHANG Degui YANG Buge LIANG |
author_sort | Jianlai CHEN |
collection | DOAJ |
description | The radar echo signal may experience substantial two-dimensional spatial variance due to the nonlinear Synthetic Aperture Radar (SAR) trajectory. The traditional frequency-domain imaging algorithms based on the assumption of azimuth translational invariance are unsuitable for high-precision imaging of nonlinear trajectory SAR. Therefore, for nonlinear trajectory SAR imaging, the azimuth spatial variance of the echo signals is typically rectified using complex Nonlinear Chirp Scaling (NCS). However, when there are substantial motion errors, it cannot be effectively combined with the current autofocus algorithms considering the complexity of the algorithm due to too many NCS parameters. Thus, to address this issue, this study proposes a nonlinear trajectory SAR imaging and autofocus method according to the sub-image NCS, which can reduce the number of NCS parameters and ensure imaging accuracy; moreover, it is more conducive to the subsequent autofocus processing. The effectiveness of the suggested approach is confirmed by simulation and measured data processing. |
first_indexed | 2024-03-09T07:39:42Z |
format | Article |
id | doaj.art-c8eba5e0f4614f1a83a1fa56dc60f9d0 |
institution | Directory Open Access Journal |
issn | 2095-283X |
language | English |
last_indexed | 2024-03-09T07:39:42Z |
publishDate | 2022-12-01 |
publisher | China Science Publishing & Media Ltd. (CSPM) |
record_format | Article |
series | Leida xuebao |
spelling | doaj.art-c8eba5e0f4614f1a83a1fa56dc60f9d02023-12-03T05:04:22ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2022-12-011161098110910.12000/JR22171R22171Nonlinear Trajectory Synthetic Aperture Radar Imaging and Autofocus Algorithm Based on Sub-image Nonlinear Chirp ScalingJianlai CHEN0Yi XIONG1Gang XU2Junchao ZHANG3Degui YANG4Buge LIANG5School of Automation, Central South University, Changsha 410083, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210000, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaThe radar echo signal may experience substantial two-dimensional spatial variance due to the nonlinear Synthetic Aperture Radar (SAR) trajectory. The traditional frequency-domain imaging algorithms based on the assumption of azimuth translational invariance are unsuitable for high-precision imaging of nonlinear trajectory SAR. Therefore, for nonlinear trajectory SAR imaging, the azimuth spatial variance of the echo signals is typically rectified using complex Nonlinear Chirp Scaling (NCS). However, when there are substantial motion errors, it cannot be effectively combined with the current autofocus algorithms considering the complexity of the algorithm due to too many NCS parameters. Thus, to address this issue, this study proposes a nonlinear trajectory SAR imaging and autofocus method according to the sub-image NCS, which can reduce the number of NCS parameters and ensure imaging accuracy; moreover, it is more conducive to the subsequent autofocus processing. The effectiveness of the suggested approach is confirmed by simulation and measured data processing.https://radars.ac.cn/cn/article/doi/10.12000/JR22171synthetic aperture radar (sar)nonlinear trajectorynonlinear chirp scaling (ncs)two-dimensional spatial-variantautofocus |
spellingShingle | Jianlai CHEN Yi XIONG Gang XU Junchao ZHANG Degui YANG Buge LIANG Nonlinear Trajectory Synthetic Aperture Radar Imaging and Autofocus Algorithm Based on Sub-image Nonlinear Chirp Scaling Leida xuebao synthetic aperture radar (sar) nonlinear trajectory nonlinear chirp scaling (ncs) two-dimensional spatial-variant autofocus |
title | Nonlinear Trajectory Synthetic Aperture Radar Imaging and Autofocus Algorithm Based on Sub-image Nonlinear Chirp Scaling |
title_full | Nonlinear Trajectory Synthetic Aperture Radar Imaging and Autofocus Algorithm Based on Sub-image Nonlinear Chirp Scaling |
title_fullStr | Nonlinear Trajectory Synthetic Aperture Radar Imaging and Autofocus Algorithm Based on Sub-image Nonlinear Chirp Scaling |
title_full_unstemmed | Nonlinear Trajectory Synthetic Aperture Radar Imaging and Autofocus Algorithm Based on Sub-image Nonlinear Chirp Scaling |
title_short | Nonlinear Trajectory Synthetic Aperture Radar Imaging and Autofocus Algorithm Based on Sub-image Nonlinear Chirp Scaling |
title_sort | nonlinear trajectory synthetic aperture radar imaging and autofocus algorithm based on sub image nonlinear chirp scaling |
topic | synthetic aperture radar (sar) nonlinear trajectory nonlinear chirp scaling (ncs) two-dimensional spatial-variant autofocus |
url | https://radars.ac.cn/cn/article/doi/10.12000/JR22171 |
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