4 January 2013 Hill-climbing algorithm based on Zernike modes for wavefront sensorless adaptive optics
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To solve the local optimum problem, a modified hill-climbing algorithm based on Zernike modes is presented for wavefront sensorless adaptive optics. This algorithm adopts the Zernike mode coefficients, instead of the actuators’ voltages in a traditional hill-climbing algorithm, as the adjustable variables to optimize the object function. First, the principle of the algorithm is described. Then the efficiency of the modified and traditional hill-climbing algorithms are analyzed numerically and experimentally using a He-Ne laser beam shaping system with a 37-element unimorph deformable mirror. The results of both simulations and experiments demonstrate that the modified hill-climbing algorithm can eliminate the local optimum problem with a fast speed of about 100 iterations.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
Ying Liu, Ying Liu, Jianqiang Ma, Jianqiang Ma, Baoqing Li, Baoqing Li, Jiaru Chu, Jiaru Chu, "Hill-climbing algorithm based on Zernike modes for wavefront sensorless adaptive optics," Optical Engineering 52(1), 016601 (4 January 2013). https://doi.org/10.1117/1.OE.52.1.016601 . Submission:

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