项目名称: 基于随机并行优化算法的自适应光束全场整形方法探索研究
项目编号: No.61205144
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 信息四处
项目作者: 马浩统
作者单位: 中国人民解放军国防科学技术大学
项目金额: 27万元
中文摘要: 激光器输出光束由于受到激光谐振腔结构、增益分布等因素限制而只能具有特定光场分布,然而在实际应用中往往需要激光光场满足某种分布以提高效率。采用光束全场整形方法改变光束光强分布,并有效补偿整形光束的相位是解决这个问题的重要途径。与传统光束全场整形方法相比,基于随机并行优化算法的自适应光束全场整形,通过采用双变形镜实时调整光束的相位来实现具有所需光场分布的光束。与传统光束全场整形方法相比,具有不需测量入射光束的光强和相位分布,可用于动态光场变化光束的整形等优点。本项目采用理论分析和实验验证相结合的方法,深入研究系统性能评价函数的构建、近场光强整形和整形后光束波前校正之间的耦合及其消除、变形镜的控制方式等问题,建立适合评价整形后光束性能的评价标准,讨论变形镜的空间分辨率对光束全场整形的影响,探索非对称光束和波前畸变光束的自适应全场整形,评估系统的极限整形能力,为该技术的实用化奠定基础。
中文关键词: 光束全场整形;自适应光学;随机并行梯度下降算法;空间分辨率;双变形镜
英文摘要: Because of the restriction by laser cavity and gain distribution, the intensity of laser beam can only have specific distributions. However, laser beams with desired intensity distributions are usually required in practical applications. An important solution to the problem is full-field beam shaping, which can not only change intensity distribution of the input beam, but also can compensate wave front of the output beam. We introduce the stochastic parallel optimization algorithm into full-field beam shaping. The full-field beam shaping based on stochastic parallel optimization algorithm, which can adaptively adjust the phase distributions of dual deformable mirrors to achieve the beam with desired optical field distribution. Compared with the conventional beam shaping technique, this technique, which has the advantage of eliminating the measurement of intensity and phase distributions of the input beam, can reshape the beam with dynamic phase and intensity variations. Based on the combination of theoretical analysis and experimental verification, the construction of metric function, the reduction of the interaction of adaptive near field beam shaping and adaptive wave front compensation of the output beam, the control mode of deformable mirrors would be studied in detail. Based on the theoretical and experimen
英文关键词: Full-field beam shaping;Adaptive optics;Stochastic parallel gradient descent algorithm;Spatial resolution;Dual deformable mirrors