Stochastic parallel gradient descent algorithm for adaptive optics system based on Zernike mode

yang huizhen; li xinyang

Volume 21 Issue 05

May 2009

Turn off MathJax

Article Contents

Article Navigation > High Power Laser and Particle Beams > 2009 > 21(05): 0-

yang huizhen, li xinyang. Stochastic parallel gradient descent algorithm for adaptive optics system based on Zernike mode[J]. High Power Laser and Particle Beams, 2009, 21.

Citation:

yang huizhen, li xinyang. Stochastic parallel gradient descent algorithm for adaptive optics system based on Zernike mode[J]. High Power Laser and Particle Beams, 2009, 21.

yang huizhen, li xinyang. Stochastic parallel gradient descent algorithm for adaptive optics system based on Zernike mode[J]. High Power Laser and Particle Beams, 2009, 21.

Citation:

yang huizhen, li xinyang. Stochastic parallel gradient descent algorithm for adaptive optics system based on Zernike mode[J]. High Power Laser and Particle Beams, 2009, 21.

PDF( 1047 KB)

Stochastic parallel gradient descent algorithm for adaptive optics system based on Zernike mode

yang huizhen¹,
li xinyang²

1.
Institute of Control Engineering Technology,Huaihai Institute of Technology,Lianyungang 222005,China;
2.
Key Laboratory on Adaptive Optics,Chinese Academy of Sciences,Chengdu 610209,China

Publish Date: 2009-05-15

Abstract

Abstract

The convergence rate can be the limit of adaptive optics without a wave-front sensor in real-time applications. An improvement on the convergence rate of the stochastic parallel gradient descent(SPGD) algorithm is discussed by combing modal method with zonal method. Based on the SPGD algorithm, adaptive optics systems are simulated with a 61-element deformable mirror. Results show that the modified SPGD algorithm can converge much faster than that based only on zonal method when the same correction effect is obtained.
- adaptive optics system,
- stochastic parallel gradient descent algorithm,
- zernike mode