Lin Haiqi, He Xing, Wang Shuai, Yang Ping
Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, China.
Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.
Sensors (Basel). 2021 Jun 4;21(11):3877. doi: 10.3390/s21113877.
Non-uniform intensity distribution of laser near-field beam results in the irregular shape of the spot in the wavefront sensor. The intensity of some sub-aperture spots may be too weak to be detected, and the accuracy of wavefront restoration is seriously affected. Therefore, an extreme learning machine method is proposed to realize high precision wavefront restoration under dynamic non-uniform intensity distribution. The simulation results show that this method has better accuracy of wavefront restoration than the classical modal algorithm under dynamic non-uniform intensity distribution. The root mean square error of the residual wavefront for the proposed method is only 2.9% of the initial value.
激光近场光束强度分布不均匀会导致波前传感器中光斑形状不规则。一些子孔径光斑的强度可能太弱而无法检测到，严重影响了波前恢复的精度。因此，提出了一种极限学习机方法来实现动态非均匀强度分布下的高精度波前恢复。仿真结果表明，该方法在动态非均匀强度分布下比经典模态算法具有更好的波前恢复精度。该方法残余波前的均方根误差仅为初始值的2.9%。
