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Improved two dimensional autofocus of SAR imaging

机译:改进的SAR二维自动聚焦

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With the resolution of SAR getting finer, the traditional 1-D autofocus algorithm may fail to cope with the situation that a target's echo exhibits a residual range migration error exceeding one or more range resolution cells during the course of the synthetic aperture. In this case 2-D autofocus becomes particularly important. Commonly used 2-D autofocus algorithm is based on range correlation and PGA, and is of high computational complexity. In this paper we propose an improved 2-D autofocus algorithm of SAR imaging, in which a subset of adjacent range resolution cells containing the prominent scatterers are selected and process by mean location method. Experiments on simulated data and real data show the effectiveness of improved method.
机译:随着SAR分辨率的提高,传统的一维自动聚焦算法可能无法解决在合成孔径过程中目标回波表现出超过一个或多个距离分辨率单元的剩余距离偏移误差的情况。在这种情况下,二维自动对焦变得尤为重要。常用的二维自动对焦算法是基于距离相关和PGA的,具有很高的计算复杂度。在本文中,我们提出了一种改进的SAR成像二维自动聚焦算法,其中选择了包含突出散射体的相邻距离分辨单元的子集,并通过均值定位方法进行处理。在模拟数据和真实数据上的实验表明了改进方法的有效性。

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