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Large-scale wave-front reconstruction for adaptive optics systems by use of a recursive filtering algorithm

机译:递归滤波算法用于自适应光学系统的大规模波前重构

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摘要

We propose a new recursive filtering algorithm for wave-front reconstruction in a large-scale adaptive optics system. An embedding step is used in this recursive filtering algorithm to permit fast methods to be used for wave-front reconstruction on an annular aperture. This embedding step can be used alone with a direct residual error updating procedure or used with the preconditioned conjugate-gradient method as a preconditioning step. We derive the Hudgin and Fried filters for spectral-domain filtering, using the eigenvalue decomposition method. Using Monte Carlo simulations, we compare the performance of discrete Fourier transform domain filtering, discrete cosine transform domain filtering, multigrid, and alternative-direction-implicit methods in the embedding step of the recursive filtering algorithm. We also simulate the performance of this recursive filtering in a closed-loop adaptive optics system.
机译:我们提出了一种新的递归滤波算法,用于大规模自适应光学系统中的波前重建。在此递归滤波算法中使用了嵌入步骤,以允许将快速方法用于环形孔径上的波前重建。该嵌入步骤可与直接残留误差更新过程一起单独使用,或与预处理共轭梯度方法一起用作预处理步骤。我们使用特征值分解方法推导用于谱域滤波的Hudgin和Fried滤波器。使用蒙特卡洛模拟,我们在递归滤波算法的嵌入步骤中比较了离散傅里叶变换域滤波,离散余弦变换域滤波,多重网格和交替方向隐式方法的性能。我们还在闭环自适应光学系统中模拟此递归滤波的性能。

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