红外与激光工程, 2016, 45 (10): 1032001, 网络出版: 2016-11-14  

基于相关波前探测算法校正热晕的数值模拟

Numerical simulation of thermal blooming correction based on correlation wave-front sensing algorithm
作者单位
西北核技术研究所, 陕西 西安 710024
摘要
建立了采用相关波前探测算法(Correlation wave-front sensing algorithm, COR)的自适应光学(Adaptive Optics, AO)系统的数值模型, 对准直光束大气传输自适应光学校正进行了数值模拟, 分析了不同热晕强度条件下光子噪声和读出噪声对系统校正效果的影响, 并与质心(Center of Gravity, COG)算法和阈值质心(Threshold Center of Gravity, TCOG)算法进行了对比。数值模拟结果表明, COR算法对噪声和热晕强度的变化具有更好的鲁棒性, 可以提高夏克-哈特曼波前探测器(Shack-Hartmann Wave-front Sensor, SH-WFS)在低信噪比(Signal to Noise Ratio, SNR)条件下的波前探测精度, 同时还可以较好地抑制噪声诱发的相位补偿不稳定性(Phase Compensation Instability, PCI), 改善低信噪比条件下大气热晕校正的稳定性。
Abstract
The numerical model of correlation wave-front sensing algorithm (COR) based adaptive optics (AO) system was established. Collimated uplink propagation beam corrected by AO was numerically simulated. The influence of photon noise and read-out noise on AO correction efficiency under different thermal blooming strength was analyzed, and compared with the results based on center of gravity(COG) algorithm and threshold center of gravity(TCOG) algorithm. The results show that the COR which is more robust to variety of the noise strength and thermal blooming strength, can improve the wave-front sensing precision of the Shack-Hartmann wave-front sensor(SH-WFS) under low signal-to-noise ratio (SNR) circumstance and restrain the phase compensation instability (PCI) induced by noise either, which will improve the AO correction efficiency and stability under low SNR circumstances.

闫伟, 陈志华, 杜太焦, 关奇. 基于相关波前探测算法校正热晕的数值模拟[J]. 红外与激光工程, 2016, 45(10): 1032001. Yan Wei, Chen Zhihua, Du Taijiao, Guan Qi. Numerical simulation of thermal blooming correction based on correlation wave-front sensing algorithm[J]. Infrared and Laser Engineering, 2016, 45(10): 1032001.

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