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基于线性双向脉动阵列的自适应光学波前复原
引用本文:郑文佳,王春鸿,姜文汉,李梅,唐端午.基于线性双向脉动阵列的自适应光学波前复原[J].红外与激光工程,2007,36(6):936-940.
作者姓名:郑文佳  王春鸿  姜文汉  李梅  唐端午
作者单位:1. 中国科学院光电技术研究所,四川,成都,610209;中国科学院研究生院,北京,100039
2. 中国科学院光电技术研究所,四川,成都,610209
基金项目:国家高技术研究发展计划(863计划)
摘    要:针对自适应光学系统,提出了一种基于线性双向流水脉动阵列的快速波前复原方法。该方法结合直接斜率波前复原算法和线性双向脉动阵列工作特点,通过对复原矩阵进行PCT数据变换和引入资源共享,提高了阵列的单元利用率,减少了资源占用且保证了计算的实时性,同时具有阵列结构简单规整、模块性强、可扩展性好等优点。最后在FPGA上实现了61单元48子孔径自适应光学系统的波前复原,验证了方法的可行性。

关 键 词:自适应光学  波前复原  脉动阵列  资源共享
文章编号:1007-2276(2007)06-0936-05
收稿时间:2007-02-26
修稿时间:2007-04-29

Wavefront reconstruction used for adaptive optics system on a linear and bidirectional systolic array
ZHENG Wen-jia,WANG Chun-hong,JIANG Wen-han,LI Mei,TANG Duan-wu.Wavefront reconstruction used for adaptive optics system on a linear and bidirectional systolic array[J].Infrared and Laser Engineering,2007,36(6):936-940.
Authors:ZHENG Wen-jia  WANG Chun-hong  JIANG Wen-han  LI Mei  TANG Duan-wu
Affiliation:1.The Institute of Optics and Electronics, the Chinese Academy of Sciences,Chengdu 610209, China; 2.Graduate School of the Chinese Academy of Sciences,Beijing 100039,China
Abstract:In view of adaptive optical system, a method of fast wavefront reconstruction on a linear and bidirectional systolic array is proposed. According to the characteristics of direct-gradient wavefront reconstruction algorithm and the work characteristics of bidirectional systolic array, PCT data translation on reconstruction matrix and resource sharing are done in order to make highly efficient use of systolic array in implementing wavefront reconstruction. The method has the following advantages: real-time calculation, economical hardware resources usage, simple and regular structure, high modularity degree, and strong expansibility.At last the 61-element and 48 sub-apertures adaptive optical system wave-front reconstruction is implemented on FPGA with bidirectional systolic array.Experimental result indicates that the method used for fast wavefront reconstruction is valid.
Keywords:Adaptive optics  Wave-front reconstruction  Systolic array  Resource sharing
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