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

机译:嵌入强杂波中的非合作目标多通道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:非合作移动目标似乎在​​SAR图像中散焦,并且由于未知运动而产生的模糊效果导致检测能力低下。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处理相结合,以获得嵌入强杂波中的扩展非合作移动目标的聚焦良好的图像。借助拟议的空间多普勒自适应处理来执行杂波缓解和雷达运动补偿。然后,ISAR处理用于补偿未知目标运动。将解决两个主要问题。首先,提出了一种在杂波缓解后应用ISAR处理的技术,然后提出了一种次优的杂波缓解方法,以克服与杂波交叉功率谱矩阵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结果,以显示所提出技术的有效性。

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