摘要
应用Lukosz预校正模型算法可以校正波前畸变的低阶像差,缩小迭代算法的搜寻范围;应用自适应余弦衰减的随机并行梯度下降(AcSPGD)算法可以补偿波前畸变的高阶像差,提升迭代算法的校正精度。本文提出了一种基于预校正模型和AcSPGD算法的混合模型算法,并将其应用于无波前传感自适应光学系统中校正湍流大气产生的畸变波前,最后搭建实验光路验证了算法的有效性。结果表明,混合模型算法的校正速率是常用的随机并行梯度下降(SPGD)算法的3倍,且校正精度比传统的Lukosz模型算法更高,应用于无波前传感自适应光学系统中有效减小了光场波前的相位起伏,提高了远场光斑斯特列尔比(SR),使自由空间光通信(FSO)系统的通信性能得到有效提升。
The Lukosz pre-correction modal algorithm can correct low-order aberrations of wavefront distortion and narrow the search range of iterative algorithms.The adaptive cosine-decay stochastic parallel gradient descent(AcSPGD)algorithm can compensate for high-order aberrations of wavefront distortion and improve the correction accuracy of iterative algorithms.In this paper,a new hybrid modal algorithm based on the pre-correction model and AcSPGD algorithm is applied to correct wavefront distortion in wavefront sensorless adaptive optics,and the feasibility of the optimization algorithm is also verified by the experiments.Experimental results show that the correction speed of the hybrid modal algorithm is two times faster than the commonly used stochastic parallel gradient descent(SPGD)algorithm,and the correction accuracy of the hybrid modal algorithm is better than the traditional Lukosz modal algorithm.Applied to wavefront sensorless adaptive optics,the optimization algorithm effectively reduces the phase fluctuation of the wavefront and improves the far-field Strehl ratio(SR),thus improving the communication performance of the free-space optical communication(FSO)system.
作者
刘武杰
元秀华
周泽宇
李奇
赵茗
Liu Wujie;Yuan Xiuhua;Zhou Zeyu;Li Qi;Zhao Ming(School of Optical and Electronic Information,Huazhong University of Science and Technology,Wuhan,Hubei 430074,China)
出处
《光电工程》
CAS
CSCD
北大核心
2022年第12期43-52,共10页
Opto-Electronic Engineering
基金
国家自然科学基金资助项目(62005088)。
