基于动态区域提取的模式复原算法

追踪了由远场光电探测器采样宽度限制引入的量化噪声在算法实现过程中的传递，分析了其对算法在波前像差校正中的效果和收敛速度产生影响的原因。根据斯特列尔比值(SR)的变化，提出了一种基于动态区域提取的模式复原算法，并利用18阶和33阶Zernike多项式模拟得到的符合Kolmogrove大气湍流功率谱的波前对该算法进行数值计算。计算结果表明：采用动态区域提取的复原算法校正波前像差，在12位相机采样宽度和33阶初始像差情况下，算法经31次迭代后收敛，波前复原残差均方根为0.058λ(λ为波长)，SR达0.9以上。该算法减小了量化噪声的影响，无波前传感自适应光学系统的收敛速度和校正效果得到显著提高。

Abstract

Transferring of quantization noise in algorithm implementation is tracked, which is caused by the finite sampling width of far field photodetector. The effect of quantization noise on wavefront aberration correction effect and convergence speed is analyzed. According to the changing of Strehl ratio (SR), a modal reconstruction algorithm based on dynamic region extraction is presented. Numerical calculations are carried out with the wavefront which fits the Kolmogrove atmospheric turbulence power spectrum and is obtained by the simulation of 18- and 33-order Zernike terms. The results show that, under the condition of the camera sampling width of 12 bits and 33-order initial aberration, the SR is larger than 0.9, the root-mean-square value of wavefront recuperative residual is 0.058λ (λ is wavelength), and the algorithm is converged after iteration for 31 times. The proposed algorithm greatly improves the correction performance and convergence speed of the wavefront sensorless adaptive optics system and reduces the effect of the quantization noise.

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文良华, 杨平, 王帅, 陈善球, 刘文劲, 许冰. 基于动态区域提取的模式复原算法[J]. 激光与光电子学进展, 2017, 54(11): 110101. Wen Lianghua, Yang Ping, Wang Shuai, Chen Shanqiu, Liu Wenjin, Xu Bing. Modal Reconstruction Algorithm Based on Dynamic Region Extraction[J]. Laser & Optoelectronics Progress, 2017, 54(11): 110101.

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