Optimization of Iterative Control Algorithms for High-Resolution Adaptive Optics Systems

被引：0
|
作者：
Liu, Shenghu [1 ,2 ,3 ]
Zhao, Wang [1 ,2 ]
Wang, Shuai [1 ,2 ]
Yang, Kangjian [1 ,2 ]
Yang, Ping [1 ,2 ]
Guan, Hongli [1 ,2 ,3 ]
Guo, Han [1 ,2 ]
He, Ruifeng [1 ,2 ,3 ]
机构：
[1] Natl Lab Adapt Opt, Chengdu 610209, Sichuan, Peoples R China
[2] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Sichuan, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源：
IEEE PHOTONICS JOURNAL | 2024年 / 16卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Sparse matrices; Mathematical models; Adaptive optics; Actuators; Computational efficiency; Matrix decomposition; Iterative algorithms; Wavefront control; preconditioners; sparse approximate inverses; sparse matrix multiplication; APPROXIMATE-INVERSE PRECONDITIONERS; SPARSE;
D O I：
10.1109/JPHOT.2024.3383792
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
As the number of wavefront sensor subapertures and deformable mirror actuators in adaptive optics systems increases, the computational time of the direct gradient wavefront control algorithm is excessively long, which is a major factor affecting the control performance of adaptive optics systems. The paper combines preprocessing techniques with sparse matrix multiplication techniques to reduce the computational complexity of the algorithm. And the convergence and wavefront control stability of the iterative algorithm are optimized. For an adaptive optical system with 1201 actuators, the computational efficiency of the proposed algorithm is increased by 5 times. And the larger the scale of the adaptive optics system, the more significant the improvement in efficiency compared to the direct gradient wavefront control algorithm.
引用
收藏
页码：1 / 9
页数：10
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