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| Citation: | ZHU Daiyin, ZHANG Ying, YU Xiang, et al. Imaging signal processing technology for miniature synthetic aperture radar[J]. Journal of Radars, 2019, 8(6): 793–803. doi: 10.12000/JR19094
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Imaging Signal Processing Technology for Miniature Synthetic Aperture Radar
doi: 10.12000/JR19094
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Abstract
Miniature Synthetic Aperture Radar (MiniSAR) has been making breakthroughs to effectively overcome the limitations of time and space, and has exhibited superiority with respect to light weight and low-power consumption as well as high flexibility to achieve high-resolution imaging for the Region Of Interest (ROI). However, imaging signal processing for MiniSAR systems still face several technical challenges such as high-resolution imaging of ground targets under complicated trajectories, refocusing of non-cooperative moving targets, and efficient and real-time processing of echo data. In this paper, a series of imaging signal processing and associated hardware designs using Field-Programmable Gate Array (FPGA) architecture have been proposed to realize MiniSAR ultra-high-resolution imaging and real-time processing. Additionally, experimental results utilizing considerable spotlight and stripmap MiniSAR data have been presented to demonstrate the effectiveness and reliability of the proposed technology. -
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References
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- Figure 1. Proposed flow diagram of MiniSAR imaging signal processing
- Figure 2. MiniSAR imaging processing system based on FPGA design architecture
- Figure 3. 2-D processing modules of PFA
- Figure 4. Structure diagram of phase gradient autofocus module
- Figure 5. Directly segmented storage
- Figure 6. MiniSAR experimental system
- Figure 7. Imaging processing and focusing comparison for ROI#1
- Figure 8. Measured data processing results for spotlight ROI#2 and ROI#3
- Figure 9. Measured data processing result for stripmap ROI#4
- Figure 10. Measured data processing result for stripmap ROI#5