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| Citation: | CHEN Jie, YANG Wei, WANG Yamin, et al. Moving target monitoring algorithm based on high-frame-rate SAR images[J]. Journal of Radars, 2022, 11(6): 1048–1060. doi: 10.12000/JR22184
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Moving Target Monitoring Algorithm Based on High-frame-rate SAR Images
doi: 10.12000/JR22184
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Abstract
To alleviate the difficulty in monitoring a moving target under a low signal-to-clutter-noise ratio, this paper proposes a moving target monitoring method with high frame-rate spaceborne Synthetic Aperture Radar (SAR) images. First, based on the detection mechanism, current spaceborne SAR moving target detection methods are divided into three categories, and a comparative analysis is performed. Second, the acquisition method of a high-frame-rate SAR image sequence is analyzed based on the staring observation mode. Then, the moving target detection is equated to one-dimensional transient weakly perturbed signal detection with unknown scale and arrival time. Next, the sinc-function form of moving target perturbation between high-frame-frequency SAR images, slowly changing background clutter, and irregular fast-changing state of system noise are analyzed theoretically. To separate the target, clutter, and noise, the deep correlation of the moving target in high-dimensional space is realized based on the kernel function mechanism. Finally, the effectiveness of the proposed method is verified by simulation experiments and real SAR data, and under a low signal-to-clutter-noise ratio, the detection performance of the proposed method is better than the traditional method of constant false alarm rate. -
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References
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- Figure 1. The flowchart of high-frame-rate spaceborne SAR simulation
- Figure 2. The process of high-frame-rate spaceborne SAR images
- Figure 3. The schematic diagram of one-dimensional temporary disturbance of moving target along time series
- Figure 4. The defocus of moving target with 30 m resolution along azimuth direction
- Figure 5. The amplitude variation of moving target, clutter and noise along time series
- Figure 6. The flowchart of high-dimensional mapping based on kernel function
- Figure 7. The high-dimensional mapping results of moving target, clutter and noise
- Figure 8. The flowchart of moving target detection based on high-frame-rate SAR images
- Figure 9. Detection results of slow moving targets with different SCNR
- Figure 10. Detection results of fast moving targets with different SCNR
- Figure 11. Verification results of TerraSAR-X data
- Figure 12. Verification results of real inverse SAR results
- Figure 13. Detection performance of moving targets with different signal length
- Figure 14. The comparison of detection performance based on different methods