Coherent Wavefront Reconstruction Using Object Statistics

W. Arrasmith, M. Roggemann, B. Welsh
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Abstract

A coherently illuminated diffuse scatterer (object) gives rise to ensemble field statistics at spatial locations in the Fraunhofer plane of the object modeled by circularly complex Gaussian random variables [ref 1]. The joint probability density function for the phase is used to determine the ensemble phase correlation function at two arbitrary spatial locations in the object’s Fraunhofer plane (the entrance pupil plane of a telescope imaging the object). The phase correlation function is used in conjunction with a minimum variance technique to obtain an optimum solution matrix mapping phase difference measurements to phase estimates at arbitrary points in the pupil. Expressions for the expected mean squared phase error are developed for the minimum variance technique and compared with conventional Least Mean Squared reconstructors. Phase estimates using the minimum variance technique and known amplitudes are used to reconstruct the image for simple targets.
利用目标统计进行相干波前重建
相干照明的漫射散射体(物体)在物体的弗劳恩霍夫平面的空间位置上产生由圆复高斯随机变量模拟的系综场统计[参考文献1]。相位的联合概率密度函数用于确定物体的弗劳恩霍夫平面(望远镜成像物体的入口瞳孔平面)中任意两个空间位置的系综相位相关函数。相位相关函数与最小方差技术结合使用,以获得最优解矩阵,将相位差测量值映射到瞳孔任意点的相位估计。给出了最小方差法的期望均方相位误差表达式,并与传统的最小均方重构法进行了比较。使用最小方差技术和已知振幅的相位估计来重建简单目标的图像。
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