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Analysis of real-time modal reconstruction algorithms for adaptive optics system

机译:自适应光学系统实时模态重建算法分析

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Three kinds of real-time wave-front reconstruction algorithms used in adaptive optics (AO) systems, the direct-gradient algorithm, the mirror-eigen modal algorithm and the sensor-eigen modal algorithm, were analyzed in this paper. The direct-gradient reconstruction algorithm was compared with other two modal reconstruction algorithms in experiments. The mirror-eigen modal algorithm was based on the modal functions gotten by orthogonalizing the coupling matrix between actuator influence functions of deformable mirror. The sensor-eigen functions were deduced by orthogonalizing the correlation matrix between Hartmann-Shack wave-front sensor and deformable mirror. The functions were used as basic modes in a novel modal reconstruction algorithm. All these three algorithms were tested on a 61-element AO system in atmosphere turbulence. The experiment data proved that the performances of AO system could be improved by using the two modal algorithms compare to those using the direct-gradient algorithm in the same work condition.
机译:本文分析了自适应光学(AO)系统中使用的三种实时波前重建算法,即直接梯度算法,镜像特征模态算法和传感器特征模态算法。在实验中将直接梯度重建算法与其他两种模式重建算法进行了比较。镜本征模态算法基于使可变形镜的致动器影响函数之间的耦合矩阵正交的模态函数。通过使Hartmann-Shack波前传感器与可变形反射镜之间的相关矩阵正交,推导出传感器本征函数。这些函数在一种新颖的模态重建算法中用作基本模式。所有这三种算法均在大气湍流的61元素AO系统上进行了测试。实验数据证明,与在相同工作条件下使用直接梯度算法相比,使用两种模态算法可以提高AO系统的性能。

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