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Advanced techniques for Fourier transform wavefront reconstruction

机译:傅立叶变换波前重建的先进技术

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The performance of Fourier transform (FT) reconstructors in large adaptive optics systems with Shack-Hartmann sensors and a deformable mirror is analyzed. FT methods, which are derived for point-based geometries, are adapted for use on continuous systems. Analysis and simulation show how to compensate for effects such as misalignment of the deformable mirror and wavefront sensor gain. Further filtering methods to reduce noise and improve performance are presented. These modifications can be implemented at the filtering stage, preserving the speed of FT reconstruction and providing flexibility by allowing on-the-fly filter adaptation. Simulation of a large system shows how compensated FT methods can have equivalent or better performance to slower vector-matrix-multiply methods. The best-performing FT method is the fastest to compute, has lower noise propagation and does not suffer from waffle errors.
机译:分析了具有Shack-Hartmann传感器和可变形镜的大型自适应光学系统中傅立叶变换(FT)重建器的性能。 FT方法是针对基于点的几何体派生的,适用于连续系统。分析和仿真显示了如何补偿可变形反射镜的未对准和波前传感器增益等影响。提出了进一步的滤波方法以减少噪声并提高性能。这些修改可以在滤波阶段实现,从而保留了FT重建的速度,并通过允许实时滤波器进行自适应来提供灵活性。大型系统的仿真表明,补偿的FT方法与较慢的矢量矩阵乘法方法相比具有同等或更好的性能。性能最佳的FT方法计算速度最快,噪声传播更低,并且不会出现华夫饼误差。

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