AO算法改善波前整形技术

Improvement of wavefront shaping based on AO algorithm

光场调控中的波前整形技术解决了相干光透过无序散射介质聚焦问题,以迭代优化方法简化实验装置,以达到加强对漫射光的控制目的。引入AO算法对入射波前进行处理,实现对波前整形技术的改善。实验中进行了与标准粒子群算法(PSO)、灰狼算法(GWO)这类群体智能优化算法的比较,AO算法改善后的波前整形技术具备更佳光学聚焦能力。研究表明,与标准粒子群算法和灰狼算法相比,经过AO算法改善后波前整形技术可得到更高的目标光强值,取得更好的散斑聚焦效果。

The wavefront shaping technology in the light field control solves the problem of coherent light focusing through the disordered scattering medium and simplifies the experimental device with iterative optimization method to achieve the purpose of strengthening the control of diffuse light.AO algorithm is introduced to process the incident wavefront to improve the wavefront shaping technology.In the experiment,compared with swarm intelligent optimization algorithms such as standard particle swarm optimization(PSO)and grey wolf algorithm(GWO),the improved wavefront shaping technology of AO algorithm has better optical focusing ability.The research shows that compared with PSO and GWO,the wavefront shaping technology imp roved by AO algorithm can obtain higher target light intensity and better speckle focusing effect.