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基于模型的大动态迭代活塞校正方法,使用扩展对象。

Model-based large-dynamic iterative piston correction using extended objects.

出版信息

Opt Lett. 2023 Jul 15;48(14):3681-3684. doi: 10.1364/OL.495664.

Abstract

Cophasing is crucial for segmented or sparse aperture telescopes to achieve high resolution. In this Letter, we propose a novel, to the best of our knowledge, model-based piston correction method that can remove large-scale piston errors within a few iterations using extended objects. The relation between the piston error and a metric function is derived theoretically under broadband illumination. The metric function is based on the image's power spectral density at the spatial frequency where the sidelobe peak of the modulation transfer function (MTF) appears. The piston error is iteratively estimated and corrected by introducing positive and negative piston biases. The dynamic range of piston correction can be as large as the coherence length of light. The correction accuracy in experiments is affected by the image noises and the accuracy of the introduced piston biases.

摘要

共相位对于实现高分辨率的分段或稀疏孔径望远镜至关重要。在本信中,我们提出了一种新颖的、据我们所知基于模型的活塞校正方法,该方法可以使用扩展物体在几次迭代内消除大尺度活塞误差。在宽带照明下,从理论上推导出了活塞误差与度量函数之间的关系。该度量函数基于调制传递函数 (MTF) 旁瓣峰值出现时空间频率处的图像功率谱密度。通过引入正、负活塞偏差来迭代估计和校正活塞误差。活塞校正的动态范围可以与光的相干长度一样大。在实验中,校正精度受图像噪声和引入的活塞偏差的精度的影响。

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