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Advanced techniques for Fourier transform wavefront reconstruction

机译:傅里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传感器的大型自适应光学系统中的傅立叶变换(FT)重建的性能和可变形镜。用于基于点的几何形状推导的FT方法适用于连续系统。分析和仿真展示如何弥补可变形镜和波前传感器增益的效果。提出了降低噪声并提高性能的进一步过滤方法。这些修改可以在滤波阶段实现,维护FT重建的速度并通过允许无速滤波器适应来提供灵活性。大型系统的仿真显示了如何补偿的FT方法可以具有等效或更好的性能来慢载体 - 矩阵 - 乘法方法。最佳的FT方法是计算最快,具有较低的噪声传播,并且不会遭受奶盖错误。

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