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Efficient Detection and Imaging of Moving Targets in SAR Images Based on Chirp Scaling

机译:基于线性调频标度的SAR图像中运动目标的有效检测与成像

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摘要

An innovative scheme is presented for moving target detection and high-resolution focusing that exploits a bank of chirp scaling algorithms (CSA), each one matched to a different along track target velocity component. The new scheme is thought for multichannel (MC) synthetic aperture radar systems, to provide a high-resolution focusing of the moving targets. Adequate target detection capability is ensured by integrating the aforementioned bank of CSA with a post-Doppler space–time adaptive processing clutter cancellation step. The presented scheme is very efficient from a computational point of view and is able to achieve sub-clutter visibility for the moving targets. The effectiveness of the proposed techniques is shown with reference to an emulated MC data set.
机译:提出了一种用于移动目标检测和高分辨率聚焦的创新方案,该方案利用了一组线性调频缩放算法(CSA),每个算法都与沿轨道目标速度分量的不同相匹配。该新方案被认为用于多通道(MC)合成孔径雷达系统,以提供对移动目标的高分辨率聚焦。通过将上述CSA库与多普勒后空时自适应处理杂波消除步骤集成在一起,可以确保足够的目标检测能力。从计算的角度来看,所提出的方案非常有效,并且能够实现运动目标的亚杂物可见性。参照仿真的MC数据集显示了所提出技术的有效性。

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