Volume 7Issue 3
Jun. 2014
Turn off MathJax
Article Contents
WANG Wei-bing, WANG Ting-feng, GUO Jin. Simulation on the law of wave-front shaping with stochastic parallel gradient descent algorithm for adaptive optics[J]. Chinese Optics, 2014, 7(3): 411-420. doi: 10.3788/CO.20140703.0411
Citation: WANG Wei-bing, WANG Ting-feng, GUO Jin. Simulation on the law of wave-front shaping with stochastic parallel gradient descent algorithm for adaptive optics[J].Chinese Optics, 2014, 7(3): 411-420.doi:10.3788/CO.20140703.0411

Simulation on the law of wave-front shaping with stochastic parallel gradient descent algorithm for adaptive optics

doi:10.3788/CO.20140703.0411
More Information
  • Author Bio:

    WANG Wei-bing(1986- ),male,Msc. He received his Msc degree in Changchun institute of optics,fine mechanics and physics,Chinese academy of sciences in 2013,and his research interests mainly focus on adaptive optics for wave-front shaping,control algorithm and electro-optical tracking control technology. E-mail:wangweibing10@126.com

  • Received Date:16 Dec 2013
  • Rev Recd Date:13 Feb 2014
  • Publish Date:25 May 2014
  • Firstly, we introduce the principle of wave-front shaping with stochastic parallel gradient descent(SPGD) algorithm based on Zernike mode for adaptive optics in atmospheric turbulence, and achieve brief expression about Strehl ratio that makes convergence rate of SPGD algorithm be accelerated obviously. Then we construct wave-front shaping system with SPGD algorithm of specific parameters, and mainly make detailed simulations on the laws of convergence rate, shaping capability and shaping effect about distortion wave-front, Zernike order and actuator number of deformable mirror. The qualitative results show that three change laws are similar, and quantitative expressions of shaping capability and shaping effect are achieved by the least square method. And it can be found from discussion that it's better to select 37-unit deformable mirror to shape 3~27(25) order Zernike aberrations of distortion wave-front at the conditions of some shaping effect considering the nature of real-time and simplification of system.

  • loading
  • [1] WANG S H. Application of stochastic-parallel-gradient-descent adaptive optics techniques in bam cleanup[D]. Changsha:National University of Defense Technology,2009. [2] VORONTSOV M A,CARHART G W,RICKLIN J C. Adaptibe phase-distortion correction based on parallel gradient-descent optimization[J]. Optics Letters,1997,22(12):907-909. [3] VORONTSOV M A,GARHART G W,COHEN M, et al.. Adaptive optics based on analog parallel stochastic optimization: analysis and experimental demonstration[J]. J. Opt. Soc. Am. A,2000,17(8):1440-1453. [4] VORONTSOV M. Adaptive photonics phase-locked elements(APPLE):system architecture and wavefront control concept[J]. SPIE,2005,5895:1-9. [5] YANG H Z,LI X Y,GONG C L, et al.. Restoration of turbulence-degraded extended object using the stochastic parallel gradient descent algorithm: numerical simulation[J]. Optics Express,2009,17(5):3052-3062. [6] VORONTSOV M A,SIVOKON V P. Stochastic parallel-gradient-descent technique for high-resolution wave-front phase-distortion correction[J]. J. Opt. Soc. Am. A,1998,15(10):2745-2757. [7] YANG H Z,LI X Y,JIANG W H. Simulation and analysis of stochastic parallel gradient descent control algorithm for adaptive optics system[J]. Acta Optica Sinica,2007,27(28):1355-1360. [8] WANG W B,ZHAO S,GUO J, et al.. Convergence rate of stochastic parallel gradient descent algorithm based on Zernike mode[J]. Chinese Optics,2012,5(4):407-415. [9] RODDIER N. Atmospheric wavefront simulation using Zernike polynomials[J]. Optical Engineering,1990,29(10):1174-1180. [10] WANG Y R,WANG J Y,XU P, et al.. Comparison of experimental analysis of atmospheric coherence length in surface layer[J]. J. Atmospheric and Environmental Optics,2010,5(4):263-268.
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(1305) PDF downloads(738) Cited by()
    Proportional views

    /

      Return
      Return
        Baidu
        map