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Wavefront fitting of Interferogram with Zernike polynomials based on SVD

机译:基于SVD的Zernike多项式干涉图的波前拟合

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摘要

As the resolution of the interferometer is rapidly increasing, the higher requirement is proposed to the interferometry. For avoiding losing of the useful information of the actual interferogram, an algorithm is presented based on singular value decomposition (SVD) which is more stable than other algorithms to some extent. The weight coefficients of the orthogonal polynomials can be worked out directly, which can eliminate the computational error. Then an evaluation criterion is developed to choose the optimum Zernike polynomial number. The computer simulations of this algorithm are also made. The simulation experiments have proved that it is an efficient algorithm and can reconstruct the wavefront accurately and stably.
机译:随着干涉仪分辨率的迅速提高,对干涉仪提出了更高的要求。为了避免丢失实际干涉图的有用信息,提出了一种基于奇异值分解(SVD)的算法,该算法在某种程度上比其他算法更稳定。可以直接计算出正交多项式的权系数,从而消除了计算误差。然后,开发评估标准以选择最佳Zernike多项式数。还对该算法进行了计算机仿真。仿真实验证明,该算法是一种有效的算法,可以准确,稳定地重建波前。

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