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摘要: 该文针对低信杂噪比条件下运动目标检测难的现状，提出了高时相星载序贯合成孔径雷达(SAR)图像运动目标检测方法。首先，根据检测机理的不同将现有星载SAR运动目标检测方法分为3类，并进行了对比分析；其次，基于凝视观测模式建模分析了高帧频序贯SAR图像获取方式；在此基础上，将动目标检测等效为未知尺度、未知到达时间的一维瞬态微弱扰动信号检测，并理论分析了沿时间维高帧频序贯SAR图像间动目标幅度扰动的sinc函数形式，背景杂波幅度的缓变和系统噪声幅度的无规则快变状态；再次，为实现目标和杂波、噪声的可分性，基于核函数机理实现了动目标在高维空间的深度关联；最后，通过仿真和真实数据验证了所提方法的有效性，并分析了检测性能。性能分析结果表明在低信杂噪比条件下所提方法检测性能优于传统的恒虚警类方法。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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图 1 高时相星载SAR回波仿真流程图
Figure 1. The flowchart of high-frame-rate spaceborne SAR simulation
图 3 沿时序目标一维瞬态扰动示意图
Figure 3. The schematic diagram of one-dimensional temporary disturbance of moving target along time series
图 4 30 m分辨率时运动目标方位向散焦情况
Figure 4. The defocus of moving target with 30 m resolution along azimuth direction
图 5 动目标、杂波和噪声幅度沿时序变化示意图
Figure 5. The amplitude variation of moving target, clutter and noise along time series
图 6 基于核函数的信号高维映射流程图
Figure 6. The flowchart of high-dimensional mapping based on kernel function
图 7 运动目标、杂波和噪声信号高维映射结果
Figure 7. The high-dimensional mapping results of moving target, clutter and noise
图 8 基于高时相SAR的动目标检测流程图
Figure 8. The flowchart of moving target detection based on high-frame-rate SAR images
图 9 不同SCNR下慢速目标检测结果
Figure 9. Detection results of slow moving targets with different SCNR
图 10 不同SCNR下快速目标检测结果
Figure 10. Detection results of fast moving targets with different SCNR
图 13 运动目标检测性能随窗口长度的变化
Figure 13. Detection performance of moving targets with different signal length
图 14 相同条件下检测性能对比
Figure 14. The comparison of detection performance based on different methods
表 1 雷达系统仿真参数
Table 1. The simulation parameters of radar system
参数 数值 中心视角(°) 35.0 轨道高度(km) 1000.0 波长(m) 0.03125 天线长度(m) 4.0 天线高度(m) 1.8 轨道倾角(°) 97.44 脉冲重复频率(Hz) 4200 系统带宽(MHz) 420 采样率(MHz) 500 
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