Parameter inversion algorithm of CSAR moving target based on PFA sub-aperture images
Circular SAR (CSAR) as a new kind of SAR imaging mode has the advantage of long-time observation. For the moving target, the corresponding parameters of the moving target can be calculated by using the position information from the apparent coordinates of the moving target in these CSAR sub-aperture...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-07-01
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| Series: | The Journal of Engineering |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0420 |
| _version_ | 1818608060168404992 |
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| author | Di Yao Zhou Wang Wengu Yang Feng Li |
| author_facet | Di Yao Zhou Wang Wengu Yang Feng Li |
| author_sort | Di Yao |
| collection | DOAJ |
| description | Circular SAR (CSAR) as a new kind of SAR imaging mode has the advantage of long-time observation. For the moving target, the corresponding parameters of the moving target can be calculated by using the position information from the apparent coordinates of the moving target in these CSAR sub-aperture images. The CSAR sub-aperture imaging algorithms include BP and PFA, and the existing parameter estimation model is established on those well-focused and localised images. However, they account for a substantial computation. Here, an improved algorithm for parameter estimation based on CSAR sub-aperture images obtained by PFA is proposed. The wave-front phase error compensation is abandoned, and a new parameter estimation model is established based on PFA images with geometric positioning error. The computational complexity of the whole process of the algorithm is reduced, and the practicability is improved. The point target simulation shows that the method is effective and accurate. |
| first_indexed | 2024-12-16T14:36:38Z |
| format | Article |
| id | doaj.art-ca28d5836a474bf8a1e87e5d206b916b |
| institution | Directory Open Access Journal |
| issn | 2051-3305 |
| language | English |
| last_indexed | 2024-12-16T14:36:38Z |
| publishDate | 2019-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Journal of Engineering |
| spelling | doaj.art-ca28d5836a474bf8a1e87e5d206b916b2022-12-21T22:28:04ZengWileyThe Journal of Engineering2051-33052019-07-0110.1049/joe.2019.0420JOE.2019.0420Parameter inversion algorithm of CSAR moving target based on PFA sub-aperture imagesDi Yao0Zhou Wang1Wengu Yang2Feng Li3Radar Research Lab, School of Information and Electronics, Beijing Institute of TechnologyRadar Research Lab, School of Information and Electronics, Beijing Institute of TechnologyRadar Research Lab, School of Information and Electronics, Beijing Institute of TechnologyRadar Research Lab, School of Information and Electronics, Beijing Institute of TechnologyCircular SAR (CSAR) as a new kind of SAR imaging mode has the advantage of long-time observation. For the moving target, the corresponding parameters of the moving target can be calculated by using the position information from the apparent coordinates of the moving target in these CSAR sub-aperture images. The CSAR sub-aperture imaging algorithms include BP and PFA, and the existing parameter estimation model is established on those well-focused and localised images. However, they account for a substantial computation. Here, an improved algorithm for parameter estimation based on CSAR sub-aperture images obtained by PFA is proposed. The wave-front phase error compensation is abandoned, and a new parameter estimation model is established based on PFA images with geometric positioning error. The computational complexity of the whole process of the algorithm is reduced, and the practicability is improved. The point target simulation shows that the method is effective and accurate.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0420parameter estimationradar imagingerror compensationsynthetic aperture radarCSAR moving targetcircular SARSAR imaging modelong-time observationPFA imagespoint target simulationparameter inversion algorithmparameter estimation modelwave-front phase error compensationgeometric positioning errorCSAR sub-aperture imaging algorithms |
| spellingShingle | Di Yao Zhou Wang Wengu Yang Feng Li Parameter inversion algorithm of CSAR moving target based on PFA sub-aperture images The Journal of Engineering parameter estimation radar imaging error compensation synthetic aperture radar CSAR moving target circular SAR SAR imaging mode long-time observation PFA images point target simulation parameter inversion algorithm parameter estimation model wave-front phase error compensation geometric positioning error CSAR sub-aperture imaging algorithms |
| title | Parameter inversion algorithm of CSAR moving target based on PFA sub-aperture images |
| title_full | Parameter inversion algorithm of CSAR moving target based on PFA sub-aperture images |
| title_fullStr | Parameter inversion algorithm of CSAR moving target based on PFA sub-aperture images |
| title_full_unstemmed | Parameter inversion algorithm of CSAR moving target based on PFA sub-aperture images |
| title_short | Parameter inversion algorithm of CSAR moving target based on PFA sub-aperture images |
| title_sort | parameter inversion algorithm of csar moving target based on pfa sub aperture images |
| topic | parameter estimation radar imaging error compensation synthetic aperture radar CSAR moving target circular SAR SAR imaging mode long-time observation PFA images point target simulation parameter inversion algorithm parameter estimation model wave-front phase error compensation geometric positioning error CSAR sub-aperture imaging algorithms |
| url | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0420 |
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