基于G-S算法的CATR静区相位恢复

Xiaohan Wang, Yuan Yao, L. Qi, Zhijiao Chen, Junsheng Yu, Xiao-dong Chen
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引用次数: 0

摘要

提出了一种结合加权幅度的相位恢复算法Gechberg-Saxton(G-S)算法,并对其进行了仿真。由于电缆的影响,用探头扫描静区很难获得高频下的准确相位。因此,从纯幅值数据中提取相位的算法有助于测量静区质量。利用角谱传播理论在两个平行曲面之间迭代,在空间域取两个曲面的振幅数据。在第一个曲面上选择$\varphi=0^{\circ}$和$\varphi=90^{\circ}$来表示从GRASP中模拟的相位与从matlab中检索到的相位之间的拟合程度。最大误差为3.6度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The phase retrieval of quiet zone in CATR with G-S algorithm
A phase retrieval algorithm called Gechberg-Saxton(G-S) algorithm combined with weighted amplitude is proposed and simulated in this paper. It is difficult to scan the quiet zone using probe to get the accurate phase at high frequency due to the cable. So the algorithm to retrieve phase from amplitude-only data is helpful to measure the quality of the quiet zone. We take two surfaces amplitude-only data at space domain using angular spectrum propagation theory to iterates between two parallel surfaces. $\varphi=0^{\circ}$ and $\varphi=90^{\circ}$ at the first surface is chose to show the fitting degree between the simulated phase from GRASP and the phase retrieved from matlab. The max error is 3.6 degree.
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