Infrared and Laser Engineering, Volume. 46, Issue 12, 1217003(2017)
Slope and curvature signal extraction algorithm based on subaperture wavefront amplitude modulation
The slope and curvature hybrid wavefront sensing technique can realize the precision measurement of high-order aberration by using all the first and second derivative information of the wavefront in the subaperture. And it is an important development direction of zonal wavefront sensing technology. Based on the slope and curvature hybrid wavefront sensor used subaperture amplitude modulation, a slope and curvature signal extraction algorithm was proposed. The centroid detection algorithm was utilized to realize the direct measurement of wavefront slope, Laplacian curvature and twist curvature in each subaperture. The simulation results show that the detection accuracy of the slope and curvature signals are all within 0.02λ(λ=632.8 nm) under the ideal condition. In the case where the noise level is less than 10%, the detection accuracy of the slope and curvature signals are all within 0.08λ. The algorithm has high detection precision and good noise immunity.
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Wang Xiaopeng, Liu Ke, Li Yanqiu. Slope and curvature signal extraction algorithm based on subaperture wavefront amplitude modulation[J]. Infrared and Laser Engineering, 2017, 46(12): 1217003
Category: 光电测量
Received: Apr. 14, 2017
Accepted: May. 18, 2017
Published Online: Jan. 19, 2018
The Author Email: Xiaopeng Wang (361133065@qq.com)