自适应光学系统的实时模式复原算法

Real-time modal reconstruction algorithm for adaptive optics systems

分析了自适应光学系统中实时模式复原算法的基本原理 ,建立了一种新型的传感器本征模复原算法。与常用的直接斜率法相比 ,这种模式复原算法可以有效减小探测噪声对复原计算过程的影响 ,提高系统的闭环稳定性和校正效果。在 6 1单元自适应光学系统上实现了这种模式复原算法 。

The principle of real-time modal reconstruction algorithms used for adaptive optics (AO) systems was introduced. A novel sensor-eigen modal reconstruction algorithm was proposed and analyzed. The sensor-eigen functions were deduced by orthogonalizing the correlation matrix between Hartmann-Shack wave-front sensor and deformable mirror. Compared to the normal direct-gradient reconstruction algorithm, the effect of measurement noise to AO system decreases more easily, the real-time system is more stable and the performances of the whole AO system improves through the modal algorithms. This novel algorithm was applied to a 61-element AO system and the theoretical results were verified by the experimental ones.