Laser beam cleanup using improved model-based wavefront sensorless adaptive optics  被引量:1

Laser beam cleanup using improved model-based wavefront sensorless adaptive optics

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作  者:董冰 王瑞 

机构地区:[1]School of Optoelectronics, Beijing Institute of Technology

出  处:《Chinese Optics Letters》2016年第3期72-75,共4页中国光学快报(英文版)

基  金:supported by the National Natural Science Foundation of China(No.61505008);the Specialized Research Fund for the Doctoral Program of Higher Education(No.20131101120023)

摘  要:An improved model-based wavefront sensorless adaptive optics algorithm is proposed for laser beam cleanup. Deformable mirror (DM) eigenmodes are used to replace traditional Lukosz modes in order to avoid DM fitting errors. The traditional method is based on a sophisticated calibration process and solving linear equations. In our method, coefficients of DM eigenmodes are estimated by adding bidirectional modal biases into the system and then solving parabolic equations. The calibration process is omitted in our method, which makes it more feasible. From simulation and experimental results, the corrective accuracy of the improved method is higher than the traditional one.An improved model-based wavefront sensorless adaptive optics algorithm is proposed for laser beam cleanup. Deformable mirror (DM) eigenmodes are used to replace traditional Lukosz modes in order to avoid DM fitting errors. The traditional method is based on a sophisticated calibration process and solving linear equations. In our method, coefficients of DM eigenmodes are estimated by adding bidirectional modal biases into the system and then solving parabolic equations. The calibration process is omitted in our method, which makes it more feasible. From simulation and experimental results, the corrective accuracy of the improved method is higher than the traditional one.

关 键 词:ALGORITHMS CALIBRATION Laser beams WAVEFRONTS 

分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置]

 

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