A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne Constant-offset Configuration (in English)
This paper focuses on the problem of the space-variance of the range-cell migration term for bistatic Synthetic Aperture Radar (SAR) and proposes a Scaled Inverse Fourier Transform (SIFT)-based imaging algorithm for the constant-offset configuration of bistatic SAR data processing. Range-cell migrat...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China Science Publishing & Media Ltd. (CSPM)
2013-03-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | http://radars.ie.ac.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=80 |
| _version_ | 1797424549654953984 |
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| author | Chen Shi-chao Xing Meng-dao Zhang Shuang-xi Bao Zheng |
| author_facet | Chen Shi-chao Xing Meng-dao Zhang Shuang-xi Bao Zheng |
| author_sort | Chen Shi-chao |
| collection | DOAJ |
| description | This paper focuses on the problem of the space-variance of the range-cell migration term for bistatic Synthetic Aperture Radar (SAR) and proposes a Scaled Inverse Fourier Transform (SIFT)-based imaging algorithm for the constant-offset configuration of bistatic SAR data processing. Range-cell migration correction is realized when two times phase multiplies and a convolution operation are executed. Because the imaging algorithm is based
on a precise spectrum that has been deduced from the Geometry-Based Formula (GBF) algorithm, the proposed algorithm can handle the bistatic SAR data, which were obtained with a large baseline to ratio. The advantages and effectiveness of the proposed imaging method have been verified by simulated and comparable experiments. Moreover, unlike other scaling-imaging algorithms that are dependent on the frequency modulated characteristics of the signal, the SIFT imaging algorithm is also suitable for phase-coded signals, which are used in a wider range of applications. |
| first_indexed | 2024-03-09T08:03:51Z |
| format | Article |
| id | doaj.art-b6e166b3e9b5466190dd2cfa263e4373 |
| institution | Directory Open Access Journal |
| issn | 2095-283X 2095-283X |
| language | English |
| last_indexed | 2024-03-09T08:03:51Z |
| publishDate | 2013-03-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj.art-b6e166b3e9b5466190dd2cfa263e43732023-12-03T00:34:19ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2013-03-0121142210.3724/SP.J.1300.2013.13018A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne Constant-offset Configuration (in English)Chen Shi-chao0Xing Meng-dao1Zhang Shuang-xi2Bao Zheng3(Key Laboratory for Radar Signal Processing, Xidian University, Xi’an 710071, China)(Key Laboratory for Radar Signal Processing, Xidian University, Xi’an 710071, China)(Key Laboratory for Radar Signal Processing, Xidian University, Xi’an 710071, China)(Key Laboratory for Radar Signal Processing, Xidian University, Xi’an 710071, China)This paper focuses on the problem of the space-variance of the range-cell migration term for bistatic Synthetic Aperture Radar (SAR) and proposes a Scaled Inverse Fourier Transform (SIFT)-based imaging algorithm for the constant-offset configuration of bistatic SAR data processing. Range-cell migration correction is realized when two times phase multiplies and a convolution operation are executed. Because the imaging algorithm is based on a precise spectrum that has been deduced from the Geometry-Based Formula (GBF) algorithm, the proposed algorithm can handle the bistatic SAR data, which were obtained with a large baseline to ratio. The advantages and effectiveness of the proposed imaging method have been verified by simulated and comparable experiments. Moreover, unlike other scaling-imaging algorithms that are dependent on the frequency modulated characteristics of the signal, the SIFT imaging algorithm is also suitable for phase-coded signals, which are used in a wider range of applications.http://radars.ie.ac.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=80Bistatic Synthetic Aperture Radar (SAR)2D Point Target (PT) spectrumScaled Inverse Fourier Transform (SIFT) |
| spellingShingle | Chen Shi-chao Xing Meng-dao Zhang Shuang-xi Bao Zheng A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne Constant-offset Configuration (in English) Leida xuebao Bistatic Synthetic Aperture Radar (SAR) 2D Point Target (PT) spectrum Scaled Inverse Fourier Transform (SIFT) |
| title | A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne Constant-offset Configuration (in English) |
| title_full | A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne Constant-offset Configuration (in English) |
| title_fullStr | A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne Constant-offset Configuration (in English) |
| title_full_unstemmed | A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne Constant-offset Configuration (in English) |
| title_short | A SIFT Algorithm for Bistatic SAR Imaging in a Spaceborne Constant-offset Configuration (in English) |
| title_sort | sift algorithm for bistatic sar imaging in a spaceborne constant offset configuration in english |
| topic | Bistatic Synthetic Aperture Radar (SAR) 2D Point Target (PT) spectrum Scaled Inverse Fourier Transform (SIFT) |
| url | http://radars.ie.ac.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=80 |
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