基于分布估计算法实现散斑场聚焦
Speckle-Field Focusing Based on Estimation of Distribution Algorithm
黄惠玲 1昌成成 2韩军1
作者信息
- 1. 泉州装备制造研究所,福建 泉州 362000;中国科学院福建物质结构研究所,福建 福州 350002
- 2. 中国科学院上海光学精密机械研究所高功率激光物理联合实验室,上海 201800
- 折叠
摘要
当激光光束经过白漆、牛奶等强散射介质之后会发生多重散射,最终形成随机散斑.提出了一种分布估计算法,分别对入射光的振幅和相位进行调制,实现了光束经过散射介质后的聚焦.理论分析了调制单元总数和迭代次数对聚焦效果的影响,并进一步探讨了在不同噪声水平下,分别通过分布估计算法、遗传算法、粒子群优化算法和连续顺序算法等方法进行相位调制,然后观察目标位置处光强增强倍数的变化情况.结果表明,相比于其他算法,分布估计算法的调制收敛速度更快,抗噪性能更好,聚焦效果更优.
Abstract
When a laser beam passes through a strong scattering medium such as white paint or milk,multiple scatterings will occur,thus resulting in the formation of random speckles.In this study,a distribution-estimation algorithm was proposed to focus a beam through a scattering medium via phase and amplitude modulations.The effects of the total number of modulating units and the number of iterations on the focusing effect were analyzed theoretically.Furthermore,phase modulation was performed using distribution-estimation,genetic,particle-swarm-optimization,and continuous sequence algorithms.Subsequently,changes in the light-intensity enhancement factor at the target position were observed.The result shows that,compared with other algorithms,the distribution-estimation algorithm accelerates modulation convergence,enhances noise resilience,and offers superior focusing effects.
关键词
分布估计算法/聚焦/强散射介质/反馈优化算法/调制Key words
estimation of distribution algorithm/focusing/strong scattering media/feedback optimization algorithm/modulation引用本文复制引用
基金项目
福建省科技计划项目(2021T3032)
福建省科技计划项目(2021T3010)
福建省科技计划项目(2022T3068)
福建省科技计划项目(2023T3068)
福建省科技计划项目(2023T3090)
福建省科技计划项目(2023T3092)
出版年
2024
NETL
NSTL
万方数据