Multi-DSP Joint SAR Real-Time Imaging System Based on PFA Sub-Aperture Imaging Algorithm

The Synthetic Aperture Radar(SAR) real-time imaging system designed with multi-DSP architecture has been widely used in both airborne and satellite platforms. In the context of real-time imaging systems, Polar Format Algorithm(PFA) fall short of meeting the system’s real-time demands. This paper proposes a multi DSP architecture SAR imaging system based on sub-aperture PFA to meet the real-time imaging requirements. The system utilizes multiple sub-aperture echo data to design a "2+1" DSP C6678 hardware architecture, and implements the sub aperture PFA algorithm in parallel on the hardware to improve imaging efficiency. Furthermore, we performed phase gradient autofocus processing on the imaging results and achieved high-resolution images. The experimental results show that compared with traditional PFA, the proposed sub aperture PFA algorithm and hardware architecture reduce imaging time by 54%.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868825
Citations
1
Primary Topic
Advanced SAR Imaging Techniques
Type
article
Field-Weighted Citation Impact
1.30
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Multi-DSP Joint SAR Real-Time Imaging System Based on PFA Sub-Aperture Imaging Algorithm

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Multi-DSP Joint SAR Real-Time Imaging System Based on PFA Sub-Aperture Imaging Algorithm

Junjie Wu, Mingji Dong, Jiaxuan Liu, Xin Miao, Jianyu Yang, Zhongyu Li, Xueqing Liu, Yue Song, Yueyue Zhang, Du Ping
article en
1 citations

Abstract

The Synthetic Aperture Radar(SAR) real-time imaging system designed with multi-DSP architecture has been widely used in both airborne and satellite platforms. In the context of real-time imaging systems, Polar Format Algorithm(PFA) fall short of meeting the system’s real-time demands. This paper proposes a multi DSP architecture SAR imaging system based on sub-aperture PFA to meet the real-time imaging requirements. The system utilizes multiple sub-aperture echo data to design a "2+1" DSP C6678 hardware architecture, and implements the sub aperture PFA algorithm in parallel on the hardware to improve imaging efficiency. Furthermore, we performed phase gradient autofocus processing on the imaging results and achieved high-resolution images. The experimental results show that compared with traditional PFA, the proposed sub aperture PFA algorithm and hardware architecture reduce imaging time by 54%.

University of Electronic Science and Technology of China (CN), Shanghai Micro Satellite Engineering Center (CN)
Openalex Percentile: Top 11%
Advanced SAR Imaging Techniques
1.30
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