Real-Time SAR Imaging Based on Reconfigurable Computing
Real-time synthetic aperture radar (SAR) image-processing systems on airborne or spaceborne platforms have constraints in terms of their power consumption, volume, and weight. In order to meet the requirements of these platforms and increase the flexibility of system application, this paper presents...
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Format: | Article |
Language: | English |
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IEEE
2021-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/9467331/ |
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author | Yue Cao Shuai Jiang Shuchen Guo Weicheng Ling Xuan Zhou Zhongjun Yu |
author_facet | Yue Cao Shuai Jiang Shuchen Guo Weicheng Ling Xuan Zhou Zhongjun Yu |
author_sort | Yue Cao |
collection | DOAJ |
description | Real-time synthetic aperture radar (SAR) image-processing systems on airborne or spaceborne platforms have constraints in terms of their power consumption, volume, and weight. In order to meet the requirements of these platforms and increase the flexibility of system application, this paper presents a SAR real-time imaging technology based on field-programmable gate array (FPGA) dynamic-reconfiguration technology. First, this technology is used to optimize the algorithm. The entire process flow is then classified into dynamic and static parts. The dynamic part implements numerical calculations, and the static part involves process control, data storage, and peripheral interface. Then, based on dynamic reconfiguration, the processing system is designed, including data interface, data storage, process control, and data operation. Finally, using flight data based on an unmanned aerial vehicle, the performance of the system is verified. The results indicate that the system needs to be run at a 200 MHz frequency for 85.9 s to process data with a size of <inline-formula> <tex-math notation="LaTeX">$65536 \times 65536$ </tex-math></inline-formula>. The system uses approximately 31.4% less resources and consumes 20% less power compared to the traditional method. These experimental results prove the effectiveness of the technology, laying the foundation for the design of high-performance real-time image-processing systems on airborne or spaceborne platforms. |
first_indexed | 2024-12-15T00:45:14Z |
format | Article |
id | doaj.art-e866b4028bff49dea3caabdfd4ac7f31 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-15T00:45:14Z |
publishDate | 2021-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-e866b4028bff49dea3caabdfd4ac7f312022-12-21T22:41:33ZengIEEEIEEE Access2169-35362021-01-019936849369010.1109/ACCESS.2021.30932999467331Real-Time SAR Imaging Based on Reconfigurable ComputingYue Cao0https://orcid.org/0000-0003-4612-7712Shuai Jiang1Shuchen Guo2Weicheng Ling3Xuan Zhou4Zhongjun Yu5Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaReal-time synthetic aperture radar (SAR) image-processing systems on airborne or spaceborne platforms have constraints in terms of their power consumption, volume, and weight. In order to meet the requirements of these platforms and increase the flexibility of system application, this paper presents a SAR real-time imaging technology based on field-programmable gate array (FPGA) dynamic-reconfiguration technology. First, this technology is used to optimize the algorithm. The entire process flow is then classified into dynamic and static parts. The dynamic part implements numerical calculations, and the static part involves process control, data storage, and peripheral interface. Then, based on dynamic reconfiguration, the processing system is designed, including data interface, data storage, process control, and data operation. Finally, using flight data based on an unmanned aerial vehicle, the performance of the system is verified. The results indicate that the system needs to be run at a 200 MHz frequency for 85.9 s to process data with a size of <inline-formula> <tex-math notation="LaTeX">$65536 \times 65536$ </tex-math></inline-formula>. The system uses approximately 31.4% less resources and consumes 20% less power compared to the traditional method. These experimental results prove the effectiveness of the technology, laying the foundation for the design of high-performance real-time image-processing systems on airborne or spaceborne platforms.https://ieeexplore.ieee.org/document/9467331/Field-programmable gate array (FPGA)real-time image processingreconfigurable computationsynthetic aperture radar (SAR) |
spellingShingle | Yue Cao Shuai Jiang Shuchen Guo Weicheng Ling Xuan Zhou Zhongjun Yu Real-Time SAR Imaging Based on Reconfigurable Computing IEEE Access Field-programmable gate array (FPGA) real-time image processing reconfigurable computation synthetic aperture radar (SAR) |
title | Real-Time SAR Imaging Based on Reconfigurable Computing |
title_full | Real-Time SAR Imaging Based on Reconfigurable Computing |
title_fullStr | Real-Time SAR Imaging Based on Reconfigurable Computing |
title_full_unstemmed | Real-Time SAR Imaging Based on Reconfigurable Computing |
title_short | Real-Time SAR Imaging Based on Reconfigurable Computing |
title_sort | real time sar imaging based on reconfigurable computing |
topic | Field-programmable gate array (FPGA) real-time image processing reconfigurable computation synthetic aperture radar (SAR) |
url | https://ieeexplore.ieee.org/document/9467331/ |
work_keys_str_mv | AT yuecao realtimesarimagingbasedonreconfigurablecomputing AT shuaijiang realtimesarimagingbasedonreconfigurablecomputing AT shuchenguo realtimesarimagingbasedonreconfigurablecomputing AT weichengling realtimesarimagingbasedonreconfigurablecomputing AT xuanzhou realtimesarimagingbasedonreconfigurablecomputing AT zhongjunyu realtimesarimagingbasedonreconfigurablecomputing |