Acta Optica Sinica, Volume. 27, Issue 8, 1355(2007)
Simulation and Analysis of Stochastic Parallel Gradient Descent Control Algorithm for Adaptive Optics System
The stochastic parallel gradient descent (SPGD) algorithm can optimize the system performance directly, while being independent of wave-front sensor. Based on SPGD algorithm, an adaptive optics system model with a 32-element deformable mirror was simulated. Convergence of SPGD algorithm was verified through analyzing correction capabilities for static wave-front aberrations. The relationship of algorithm gain coefficient, stochastic perturbation amplitude and convergence rate were discussed. Convergence rate can be improved by adaptive adjustment of algorithm gain coefficient.
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[in Chinese], [in Chinese], [in Chinese]. Simulation and Analysis of Stochastic Parallel Gradient Descent Control Algorithm for Adaptive Optics System[J]. Acta Optica Sinica, 2007, 27(8): 1355