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Space-Doppler processing for multichannel ISAR imaging of non-cooperative targets embedded in strong clutter

机译:用于嵌入强杂波的非合作目标的多通道ISAR成像的空间多普勒处理

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Non-cooperative moving targets appear defocussed in SAR images and the blurring effect due to the unknown motion leads to low detection capabilities. In this work, clutter suppression and ISAR processing are combined to obtain well focused images of extended non-cooperative moving targets embedded in strong clutter, by exploiting Multichannel SAR (M-SAR) systems. Clutter mitigation and radar motion compensation are performed by means of the proposed Space Doppler Adaptive Processing. Then ISAR processing is used to compensate the unknown target motion. Two principal issues will be addressed. First, a technique to apply ISAR processing after clutter mitigation is presented, and then a suboptimal approach for clutter mitigation is proposed to overcome computational and statistical issues associated with estimation of clutter cross-power spectral matrix. Results of the processing applied to simulated data are provided in order to show the effectiveness of the proposed techniques.
机译:非合作移动目标在SAR图像中脱声,并且由于未知运动导致的模糊效果导致低检测能力。在这项工作中,通过利用多通道SAR(M-SAR)系统,将杂波抑制和ISAR处理基准以获得嵌入在强杂波中的延长非协作移动目标的良好聚焦的图像。通过所提出的空间多普勒自适应处理进行杂波缓解和雷达运动补偿。然后使用ISAR处理来补偿未知的目标运动。将解决两项主要问题。首先,提出了一种在杂波缓解之后应用ISAR处理的技术,然后提出了一种杂波缓解的次优方法来克服与杂波交叉电力谱矩阵的估计相关的计算和统计问题。提供了应用于模拟数据的处理的结果,以显示所提出的技术的有效性。

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