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A minimum-entropy based residual range cell migration correction for bistatic forward-looking SAR

机译:基于最小熵的双基地前瞻性SAR剩余距离单元偏移校正

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For bistatic forward-looking synthetic aperture radar (BFSAR), motion errors induce two adverse effects on the echo, namely, azimuth phase error and residual range cell migration (RCM). Under the presumption that residual RCM is within a range resolution cell, residual RCM can be neglected, and azimuth phase error can be compensated utilizing autofocus methods. However, in the case that residual RCM exceeds the range resolution, two dimensional defocus would emerge in the final image. Generally speaking, residual RCM is relatively small and can be neglected in monostatic SAR. While the unique characteristics of BFSAR makes the residual RCM exceeding range resolution cell inevitable. Furthermore, the excessive residual migration is increasingly encountered as resolutions become finer. To cope with such a problem, minimum-entropy based residual RCM correction method is developed in this paper. The proposed method eliminates the necessity of the parametric model when estimating the residual RCM. Moreover, it meets the practical needs of BFSAR owing to no requirement of exhaustive computation. Simulations validate the effectiveness of the proposed method.
机译:对于双基地前视合成孔径雷达(BFSAR),运动误差会对回波产生两个不利影响,即方位角相位误差和剩余距离像元迁移(RCM)。在残余RCM在范围分辨率单元内的假设下,残余RCM可以被忽略,并且可以使用自动聚焦方法来补偿方位角相位误差。但是,在残留RCM超出范围分辨率的情况下,二维散焦将出现在最终图像中。一般来说,残余RCM相对较小,在单基地SAR中可以忽略不计。而BFSAR的独特特性使得剩余RCM超出范围分辨率单元成为必然。此外,随着分辨率的提高,越来越多地出现了过多的残留迁移。为了解决这一问题,本文提出了一种基于最小熵的残差RCM校正方法。该方法消除了估计剩余RCM时参数模型的必要性。此外,由于不需要详尽的计算,因此可以满足BFSAR的实际需求。仿真验证了所提方法的有效性。

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