Affiliation:
1. GBA Branch of Aerospace Information Research Institute, Chinese Academy of Sciences
2. Nanjing University
Abstract
Solving the distorted wavefront in wavefront sensorless adaptive optics (WFSL-AO) relies on excellent optimizers. Many local or global optimization algorithms have been applied to WFSL-AO; however, there is still a challenge to balance the effect and speed of correcting aberrations. To overcome this, a novel global optimization algorithm named asymptotic proximal point (APP) method is introduced into WFSL-AO in this Letter. We compare this algorithm with the various existing optimization algorithms in convergence speed and correction capability by performing numerical simulations. The results show that the APP method beats all competitors with a better correction effect and faster speed.
Funder
National Natural Science Foundation of China
Chinese Academy of Sciences funding
Natural Science Foundation of Jiangsu Province