Hybrid approach used for extended image-based wavefront sensor-less adaptive optics
The stochastic parallel gradient descent (SPGD) algorithm is widely used in wavefront sensor-less adaptive optics (WSAO) systems. However, the convergence is relatively slow. Modal-based algorithms usually provide much faster convergence than SPGD; however, the limited actuator stroke of the deformable mirror (DM) often prohibits the sensing of higher-order modes or renders a closed-loop correction inapplicable. Based on a comparative analysis of SPGD and the DM-modal-based algorithm, a hybrid approach involving both algorithms is proposed for extended image-based WSAO, and is demonstrated in this experiment. The hybrid approach can achieve similar correction results to pure SPGD, but with a dramatically decreased iteration number.
Ji Yu：School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China
备注：This work was supported by the Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20131101120023) and the Excellent Young Scholars Research Fund of the Beijing Institute of Technology (Grant No. 2012YG0203).
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