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Two-dimensional evolutionary programming-based CLEAN

机译:基于二维进化规划的CLEAN

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摘要

In this work, we present a novel two-dimensional (2-D) scattering center extraction method, called 2-D evolutionary programming (EP)-based CLEAN. The 2-D EP-based CLEAN uses the ideal point scattering model and EP for optimization. Our algorithm has accuracy, robustness and better resolution than the fast Fourier transform (FFT)-based CLEAN. Further, it does not require the transformation of measured data from the polar frequency domain to the Cartesian frequency domain or to the image domain. Numerical simulations are performed to verify the characteristics of the proposed algorithm, such as resolution, robustness and accuracy.
机译:在这项工作中,我们提出了一种新颖的二维(2-D)散射中心提取方法,称为基于2-D进化规划(EP)的CLEAN。基于二维EP的CLEAN使用理想的点散射模型和EP进行优化。与基于快速傅里叶变换(FFT)的CLEAN相比,我们的算法具有准确性,鲁棒性和更好的分辨率。此外,它不需要将测量数据从极地频域转换到笛卡尔频域或图像域。进行数值模拟以验证所提出算法的特性,例如分辨率,鲁棒性和准确性。

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