TY - GEN
T1 - A Parallel Acceleration Strategy for Large Aperture Radar Imaging and its Hardware Implementation
AU - Zhang, Zhenyu
AU - Cheng, Yukun
AU - Liu, Kai
AU - Shi, Chunqi
AU - Huang, Leilei
AU - Chen, Jinghong
AU - Zhang, Runxi
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - A parallel acceleration strategy and hardware implementation scheme for SAR imaging is proposed to accelerate imaging in high bandwidth, large aperture, and high-density scenarios. Based on traditional SAR imaging, this strategy divides the target image into multiple local images, selecting appropriate radar data within a suitable aperture range based on the locations of each local component. Multiple SAR imaging units operate in parallel, and the local images are stitched together in their original locations to achieve accelerated imaging after cropping. This paper designs the hardware for the SAR imaging units, with its core FFT operations designed as a low-cost reusable structure. By reusing and expanding this hardware unit, the acceleration system can be built with relatively low hardware resources and minimal loss in imaging quality, demonstrating significant application potential for THz radar imaging and high-resolution large-aperture security inspections.
AB - A parallel acceleration strategy and hardware implementation scheme for SAR imaging is proposed to accelerate imaging in high bandwidth, large aperture, and high-density scenarios. Based on traditional SAR imaging, this strategy divides the target image into multiple local images, selecting appropriate radar data within a suitable aperture range based on the locations of each local component. Multiple SAR imaging units operate in parallel, and the local images are stitched together in their original locations to achieve accelerated imaging after cropping. This paper designs the hardware for the SAR imaging units, with its core FFT operations designed as a low-cost reusable structure. By reusing and expanding this hardware unit, the acceleration system can be built with relatively low hardware resources and minimal loss in imaging quality, demonstrating significant application potential for THz radar imaging and high-resolution large-aperture security inspections.
KW - FFT
KW - FMCW Radar
KW - Hardware
KW - Parallel Acceleration
KW - SAR Image
UR - https://www.scopus.com/pages/publications/105010629090
U2 - 10.1109/ISCAS56072.2025.11044176
DO - 10.1109/ISCAS56072.2025.11044176
M3 - 会议稿件
AN - SCOPUS:105010629090
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - ISCAS 2025 - IEEE International Symposium on Circuits and Systems, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025
Y2 - 25 May 2025 through 28 May 2025
ER -