DOE的相位分布由数值迭代相位恢复算法优化得到。
The phase distribution of DOE is optimization result of iterative phase retrieval algorithm.
通过对COAA算法采用变步长迭代提高二次相位误差估计的精度和速度，增强算法的实用性。
To improve the phase error estimation precision and speed, modified iteration step is used, resulting in more effective application of COAA.
但当传感非连通域复杂光瞳时，由于受瞳内遮挡区域的伪包裹相位值影响，路径无关型解包裹算法失效，从而导致MGS算法迭代失败。
But for non-connected pupil, the path-independent phase unwrapping inside MGS is invalid owing to fake value of the points located in obstructed areas of pupil.
但当传感非连通域复杂光瞳时，由于受瞳内遮挡区域的伪包裹相位值影响，路径无关型解包裹算法失效，从而导致MGS算法迭代失败。
But for non-connected pupil, the path-independent phase unwrapping inside MGS is invalid owing to fake value of the points located in obstructed areas of pupil.
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