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Robust moving targets detection and velocity estimation using multi-channel and multi-look SAR images

机译:使用多通道和多视场SAR图像进行鲁棒的移动目标检测和速度估计

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摘要

For the sake of the robustness to ground moving targets indication (GMTI) for synthetic aperture radar (SAR) in heterogeneous environment, a new approach using multichannel and multi-look SAR images is presented. This approach has been shown to attain improved suppression of monostatic clutter over its counterpart (the multichannel and single-look algorithm). In this approach, the joint data vector is utilized which has robustness to image coregistration and deleterious system errors in practice. Consequently, a series of radial velocity estimation approaches are presented. The estimation accuracy can be improved by the multi-look algorithms. Experimental airborne SAR data illustrates the effectiveness of the proposed GMTI schemes. It is shown that, compared with conventional single-look algorithms, the multi-look approach can obtain better clutter cancellation performance and more accurate velocity estimation.
机译:为了在异质环境下合成孔径雷达(SAR)对地面移动目标指示(GMTI)具有鲁棒性,提出了一种使用多通道多视SAR图像的新方法。事实证明,这种方法比单通道杂波(多通道和单视算法)获得了更好的单静杂波抑制能力。在这种方法中,利用了联合数据向量,该联合数据向量在实际中具有鲁棒性以防止图像融合和有害的系统错误。因此,提出了一系列径向速度估计方法。可以通过多视点算法提高估计精度。实验性机载SAR数据说明了提出的GMTI方案的有效性。结果表明,与传统的单视算法相比,多视方法可以获得更好的杂波消除性能和更准确的速度估计。

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