Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain Algorithm
The three-dimensional (3-D) acceleration, azimuth dependence, and real-time processing are the main issues to be solved in highly squinted frequency-modulation continuous-wave (FMCW) synthetic aperture radar (SAR) with a curved trajectory. To overcome these issues, a modified wavenumber-domain algor...
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IEEE
2024-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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Online Access: | https://ieeexplore.ieee.org/document/10101808/ |
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author | Tinghao Zhang Yachao Li Mingze Yuan Liang Guo Jiao Guo Hao Lin Mengdao Xing |
author_facet | Tinghao Zhang Yachao Li Mingze Yuan Liang Guo Jiao Guo Hao Lin Mengdao Xing |
author_sort | Tinghao Zhang |
collection | DOAJ |
description | The three-dimensional (3-D) acceleration, azimuth dependence, and real-time processing are the main issues to be solved in highly squinted frequency-modulation continuous-wave (FMCW) synthetic aperture radar (SAR) with a curved trajectory. To overcome these issues, a modified wavenumber-domain algorithm is developed in this article. The proposed modified wavenumber-domain algorithm mainly includes the following six aspects. First, a modified range model considering 3-D acceleration for a curved trajectory is established. Then, the spectrum compression and rotation operations are performed to guarantee further processing. Afterward, residual phase terms introduced by acceleration are bulk compensated for. Moreover, the azimuth dependence is eliminated by the azimuth resampling to achieve uniform focusing. Subsequently, the range–azimuth coupling is removed by the modified Stolt interpolation. Finally, to avoid image aliasing, the azimuth wavenumber domain is selected to focus the final image. The experimental results of both numerical and raw-measured FMCW-SAR data demonstrate the superiority of the proposed method. |
first_indexed | 2024-03-08T15:54:49Z |
format | Article |
id | doaj.art-88d396e80e47492d89ed603866e204d3 |
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issn | 2151-1535 |
language | English |
last_indexed | 2024-03-08T15:54:49Z |
publishDate | 2024-01-01 |
publisher | IEEE |
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series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
spelling | doaj.art-88d396e80e47492d89ed603866e204d32024-01-09T00:00:45ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352024-01-01171999201110.1109/JSTARS.2023.326688610101808Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain AlgorithmTinghao Zhang0Yachao Li1https://orcid.org/0000-0002-6672-367XMingze Yuan2Liang Guo3https://orcid.org/0000-0001-6296-6028Jiao Guo4https://orcid.org/0000-0003-4362-0683Hao Lin5https://orcid.org/0009-0002-1533-791XMengdao Xing6https://orcid.org/0000-0002-4084-0915National Laboratory of Radar Signal Processing, Xidian University, Xi'an, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi'an, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi'an, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi'an, ChinaCollege of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi'an, ChinaNational Laboratory of Radar Signal Processing, Xidian University, Xi'an, ChinaThe three-dimensional (3-D) acceleration, azimuth dependence, and real-time processing are the main issues to be solved in highly squinted frequency-modulation continuous-wave (FMCW) synthetic aperture radar (SAR) with a curved trajectory. To overcome these issues, a modified wavenumber-domain algorithm is developed in this article. The proposed modified wavenumber-domain algorithm mainly includes the following six aspects. First, a modified range model considering 3-D acceleration for a curved trajectory is established. Then, the spectrum compression and rotation operations are performed to guarantee further processing. Afterward, residual phase terms introduced by acceleration are bulk compensated for. Moreover, the azimuth dependence is eliminated by the azimuth resampling to achieve uniform focusing. Subsequently, the range–azimuth coupling is removed by the modified Stolt interpolation. Finally, to avoid image aliasing, the azimuth wavenumber domain is selected to focus the final image. The experimental results of both numerical and raw-measured FMCW-SAR data demonstrate the superiority of the proposed method.https://ieeexplore.ieee.org/document/10101808/Curved trajectoryfrequency-modulation continuous-wave (FMCW)wavenumber domain |
spellingShingle | Tinghao Zhang Yachao Li Mingze Yuan Liang Guo Jiao Guo Hao Lin Mengdao Xing Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain Algorithm IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Curved trajectory frequency-modulation continuous-wave (FMCW) wavenumber domain |
title | Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain Algorithm |
title_full | Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain Algorithm |
title_fullStr | Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain Algorithm |
title_full_unstemmed | Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain Algorithm |
title_short | Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain Algorithm |
title_sort | focusing highly squinted fmcw sar data using the modified wavenumber domain algorithm |
topic | Curved trajectory frequency-modulation continuous-wave (FMCW) wavenumber domain |
url | https://ieeexplore.ieee.org/document/10101808/ |
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