Analysis of Forward Scattering Shadow Inverse Synthetic Aperture Radar Imaging Algorithm
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摘要: 阴影逆合成孔径雷达(SISAR)成像算法可以从前向散射雷达(FSR)目标回波中提取目标侧影轮廓像，其成像精度由目标的运动轨迹跟踪精度决定。该文基于小衍射角前向散射信号模型，解析推导了SISAR成像误差与目标运动轨迹跟踪误差的关系；分析了跟踪误差对目标侧影轮廓高度差和中线成像结果的影响，给出了对跟踪精度的定量要求。通过大量仿真验证了分析的正确性。Abstract: Shadow Inverse Synthetic Aperture Radar (SISAR) imaging algorithm is a kind of technology to extract the profile of a target from the forward scattering signal. The imaging accuracy depends on the target coordinate estimation precision. In this paper, the relationship between the imaging error and coordinate estimation errors is analytically derived with the forward scattering signal model under the assumption of small diffraction angles. The quantitative requirements for coordinate estimation precision are made. Finally, impacts of coordinate estimation errors on SISAR imaging accuracy are verified via simulation results.
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