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Two-dimensional Autofocus Approach for bistatic SAR Polar Format Algorithm

机译:双维自动对焦方法对Bistatic SAR极性格式算法

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The existing two-dimension (2-D) autofocus algorithms for bistatic system aperture radar (SAR) do not make full use of the structure of phase error knowledge and estimate phase error in a blind manner. They often suffer from low computational efficiency and imprecise parameter. In this paper, an efficient 2-D autofocus algorithm for bistatic SAR is presented. First, the new bistatic PFA (polar format algorithm) interpretation is used to derive the structure of phase error. Then, based on this knowledge, a 2-D autofocus approach is proposed. This algorithm only requires an estimate of azimuth (1-D) phase error, and then the 2-D phase error can be computed from the 1-D phase error. Compared with other existing autofocus approaches, the experimental results demonstrate that both the accuracy of the parameter estimation and the computational efficiency in this algorithm is obviously improved.
机译:双晶系统孔径雷达(SAR)的现有二维(2-D)自动对焦算法(SAR)不会充分利用相位误差知识和估计阶段误差的结构。它们经常遭受低计算效率和不精确参数。本文提出了一种有效的二维自动对焦算法,用于对BISTOG SAR进行。首先,新的BISTOG PFA(极性格式算法)解释用于导出相位误差的结构。然后,基于这种知识,提出了一种二维自动对焦方法。该算法仅需要估计方位角(1-D)相位误差,然后可以从1-D相位误差计算2-D相误差。与其他现有的自动对焦方法相比,实验结果表明参数估计的准确性和该算法中的计算效率都得到了显着提高。

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