基于自组织映射神经网络的位相差异波前传感新方法

A New Method of Phase Diversity Wave-front Sensing Based on SOFM NN

针对位相差异(Phase Diversity,PD)技术存在计算量大和神经网络训练样本集规模过大等缺点,提出一种结合人工神经网络的PD波前传感新方法-基于自组织映射(Self-Organizing Featwe Map,SOFM)网络的PD波前传感方法.通过计算机仿真实验对新方法的性能进行了测试和分析.仿真实验结果表明,该方法在保证传感准确度的前提下可以有效提高PD波前传感的速度和缩减网络训练样本集的规模.

A method based on the Combination of Phase Diversity（CPD） with neural networks（NN） was proposed,which is Phase Diversity Wave-front Sensing based on Seer-organizing Feature Map （SOFM） NN. The characteristic of SOFM NN and the basic principle of this method were introduced. The performance of this method was evaluated and analysed by computer simulation. The simulation results show that this method can improve the speed of PD Wave-front Sensing and reduce the size of training set effectively. It has a potential value of practical application.