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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Main Authors: Yue Cao, Shuai Jiang, Shuchen Guo, Weicheng Ling, Xuan Zhou, Zhongjun Yu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
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&#x0025; less resources and consumes 20&#x0025; 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.
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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&#x0025; less resources and consumes 20&#x0025; 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