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A high accuracy method for interference fringes suppression in SAR distributed targets' raw data simulation

机译:SAR分布式目标原始数据仿真中一种高精度的干涉条纹抑制方法。

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Interference fringes will be generated in SAR image when distributed targets' echo signal is simulated because of the uniform model of targets. The fringes can be suppressed by adding random height in space or random phase on backscatter coefficient of the distributed targets. However, the former method will introduce location error and the latter method will increase speckle noise twice in simulated image. In this paper, we develop a high accuracy method for fringes suppression based on targets' position randomizing and RCS re-sampling via bilinear interpolation. The validation of method is successfully proved by simulation results and the performance of the method is discussed on accuracy and computational complexity at the end of this paper.
机译:由于目标的统一模型,在模拟分​​布式目标的回波信号时,SAR图像中将产生干涉条纹。可以通过在分布目标的反向散射系数上增加空间中的随机高度或随机相位来抑制条纹。但是,前一种方法会引入定位误差,而后一种方法会在模拟图像中增加两次斑点噪声。在本文中,我们基于目标的位置随机化和通过双线性插值的RCS重采样,开发了一种用于条纹抑制的高精度方法。仿真结果成功地证明了该方法的有效性,并在准确性和计算复杂度上讨论了该方法的性能。

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