傅立叶和矢量矩阵乘法用于斜率测量相位重建的性能分析
Performance analysis of Fourier and Vector Matrix Multiply methods for phase reconstruction from slope measurements
摘要：
从离散斜率测量的波前重建的精度取决于采样几何结构、入射波前的相干长度、波前传感器规格和重建算法的精度。进行了蒙特卡罗模拟，并就这些实验和计算参数对傅立叶和矢量矩阵乘法重建方法进行了比较。据观察，虽然傅立叶重建给出一致的准确性时，波前的相干长度大于相应的间距的波前传感器，VMM方法给出甚至更好的准确性时，相干长度密切匹配的波前传感器间距。
英文摘要：
The accuracy of wavefront reconstruction from discrete slope measurements depends on the sampling geometry, coherence length of the incoming wavefronts, wavefront sensor specifications and the accuracy of the reconstruction algorithm. Monte Carlo simulations were performed and a comparison of Fourier and Vector Matrix Multiply reconstruction methods was made with respect to these experimental and computational parameters. It was observed that although Fourier reconstruction gave consistent accuracy when coherence length of wavefronts is larger than the corresponding pitch on the wavefront sensor, VMM method gives even better accuracy when the coherence length closely matches with the wavefront sensor pitch.
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