Generalized Chirp Scaling Combined with Baseband Azimuth Scaling Algorithm for Large Bandwidth Sliding Spotlight SAR Imaging
This paper presents an efficient and precise imaging algorithm for the large bandwidth sliding spotlight synthetic aperture radar (SAR). The existing sub-aperture processing method based on the baseband azimuth scaling (BAS) algorithm cannot cope with the high order phase coupling along the range an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-05-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/17/6/1237 |
| _version_ | 1817996541840850944 |
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| author | Tianzhu Yi Zhihua He Feng He Zhen Dong Manqing Wu |
| author_facet | Tianzhu Yi Zhihua He Feng He Zhen Dong Manqing Wu |
| author_sort | Tianzhu Yi |
| collection | DOAJ |
| description | This paper presents an efficient and precise imaging algorithm for the large bandwidth sliding spotlight synthetic aperture radar (SAR). The existing sub-aperture processing method based on the baseband azimuth scaling (BAS) algorithm cannot cope with the high order phase coupling along the range and azimuth dimensions. This coupling problem causes defocusing along the range and azimuth dimensions. This paper proposes a generalized chirp scaling (GCS)-BAS processing algorithm, which is based on the GCS algorithm. It successfully mitigates the deep focus along the range dimension of a sub-aperture of the large bandwidth sliding spotlight SAR, as well as high order phase coupling along the range and azimuth dimensions. Additionally, the azimuth focusing can be achieved by this azimuth scaling method. Simulation results demonstrate the ability of the GCS-BAS algorithm to process the large bandwidth sliding spotlight SAR data. It is proven that great improvements of the focus depth and imaging accuracy are obtained via the GCS-BAS algorithm. |
| first_indexed | 2024-04-14T02:23:44Z |
| format | Article |
| id | doaj.art-f7e96913d923434682231f82d7981aab |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T02:23:44Z |
| publishDate | 2017-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f7e96913d923434682231f82d7981aab2022-12-22T02:17:57ZengMDPI AGSensors1424-82202017-05-01176123710.3390/s17061237s17061237Generalized Chirp Scaling Combined with Baseband Azimuth Scaling Algorithm for Large Bandwidth Sliding Spotlight SAR ImagingTianzhu Yi0Zhihua He1Feng He2Zhen Dong3Manqing Wu4School of Electronic Science and Engineering, National University of Defense Technology, Sanyi Avenue, Changsha 410073, ChinaSchool of Electronic Science and Engineering, National University of Defense Technology, Sanyi Avenue, Changsha 410073, ChinaSchool of Electronic Science and Engineering, National University of Defense Technology, Sanyi Avenue, Changsha 410073, ChinaSchool of Electronic Science and Engineering, National University of Defense Technology, Sanyi Avenue, Changsha 410073, ChinaChina Electronics Technology Group Corporation (CETC), China Academy of Electronics and Information Technology, Beijing 100846, ChinaThis paper presents an efficient and precise imaging algorithm for the large bandwidth sliding spotlight synthetic aperture radar (SAR). The existing sub-aperture processing method based on the baseband azimuth scaling (BAS) algorithm cannot cope with the high order phase coupling along the range and azimuth dimensions. This coupling problem causes defocusing along the range and azimuth dimensions. This paper proposes a generalized chirp scaling (GCS)-BAS processing algorithm, which is based on the GCS algorithm. It successfully mitigates the deep focus along the range dimension of a sub-aperture of the large bandwidth sliding spotlight SAR, as well as high order phase coupling along the range and azimuth dimensions. Additionally, the azimuth focusing can be achieved by this azimuth scaling method. Simulation results demonstrate the ability of the GCS-BAS algorithm to process the large bandwidth sliding spotlight SAR data. It is proven that great improvements of the focus depth and imaging accuracy are obtained via the GCS-BAS algorithm.http://www.mdpi.com/1424-8220/17/6/1237generalized chirp scalingbaseband azimuth scalinglarge bandwidthsliding spotlight |
| spellingShingle | Tianzhu Yi Zhihua He Feng He Zhen Dong Manqing Wu Generalized Chirp Scaling Combined with Baseband Azimuth Scaling Algorithm for Large Bandwidth Sliding Spotlight SAR Imaging Sensors generalized chirp scaling baseband azimuth scaling large bandwidth sliding spotlight |
| title | Generalized Chirp Scaling Combined with Baseband Azimuth Scaling Algorithm for Large Bandwidth Sliding Spotlight SAR Imaging |
| title_full | Generalized Chirp Scaling Combined with Baseband Azimuth Scaling Algorithm for Large Bandwidth Sliding Spotlight SAR Imaging |
| title_fullStr | Generalized Chirp Scaling Combined with Baseband Azimuth Scaling Algorithm for Large Bandwidth Sliding Spotlight SAR Imaging |
| title_full_unstemmed | Generalized Chirp Scaling Combined with Baseband Azimuth Scaling Algorithm for Large Bandwidth Sliding Spotlight SAR Imaging |
| title_short | Generalized Chirp Scaling Combined with Baseband Azimuth Scaling Algorithm for Large Bandwidth Sliding Spotlight SAR Imaging |
| title_sort | generalized chirp scaling combined with baseband azimuth scaling algorithm for large bandwidth sliding spotlight sar imaging |
| topic | generalized chirp scaling baseband azimuth scaling large bandwidth sliding spotlight |
| url | http://www.mdpi.com/1424-8220/17/6/1237 |
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