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增大夏克-哈特曼波前传感器动态范围的算法研究 被引量:6

Algorithm for Extending Dynamic Range of Shack-Hartmann Wavefront Sensor
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摘要 为了保证夏克-哈特曼波前传感器具有高灵敏度的同时又具有较大的动态范围,提出了一种能够有效增大传感器动态范围的数据处理方法光斑归位法。该方法使不规则的光斑回归到各自原来的位置,形成一个规则的光斑阵列,找到光斑阵列中某个光斑与微透镜的匹配关系,进而找到所有的光斑与微透镜的匹配关系。该方法的优点在于光斑不需要被限制在子孔径内且在不增加硬件等其他辅助条件下能够有效地增大夏克-哈特曼波前传感器的动态范围。实验验证了光斑归位法的正确性和可行性,结果表明,光斑归位法是正确的且采用该方法的动态范围比传统算法的动态范围提高了25倍以上。 A new algorithm called spots regression is presented to solve the tradeoff between the dynamic range and sensitivity of Shack-Hartmann wavefront sensor. This new algorithm allows spots to wander, so the dynamic range can be extended while the sensitivity is also sensitive. In order to find out the relation between the spots array and microlenses array even if spots leave their original sub-aperture, firstly, getting the irregular spots to their primary positions, secondly, finding out the match relation between one spot and one microlens. Finally , all spots and all microlenses match each other. The advantage of this algorithm is that there are no requirements for extra hardware, multiple measurements or complicated algorithms. A simple experiment is carried out to demonstrate its implementation. The results of this experiment are very closed to the theoretical ones. And the dynamic range is 25 times larger than that of conventional algorithm.
出处 《光学学报》 EI CAS CSCD 北大核心 2011年第8期140-144,共5页 Acta Optica Sinica
基金 国家自然科学基金重点项目(61036015)资助课题
关键词 光学检测 动态范围 光斑归位法 夏克-哈特曼波前传感器 optical test dynamic range spots regression Shack-Hartmann wavefront sensor
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