Iterative Fourier Transform Algorithm with Adaptive Regularization Parameter Distribution for Optimal Design of Diffractive Optical Elements
Iterative Fourier Transform Algorithm with Adaptive Regularization Parameter Distribution for Optimal Design of Diffractive Optical Elements
复制标题
具有自适应正则化参数分布的迭代傅里叶变换算法用于衍射光学元件的优化设计
DOI：
10.1143/jjap.43.l702
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发表时间：
2004
影响因子：
1.5
通讯作者：
Byoungho Lee
中科院分区：
文献类型：
--
作者：
Hwi Kim;Byoungho Lee
在衍射光学元件的设计中，采用传统的迭代傅里叶变换算法可以以低衍射效率为代价来改善均匀性。这种权衡是传统迭代傅里叶变换算法的一个基本限制。本文在理论分析传统迭代傅里叶变换算法方案的权衡特性的基础上，提出了一种新的自适应正则化参数分布迭代傅里叶变换算法，以减轻均匀性与衍射效率之间的权衡，提高均匀性。数值实验证明了该算法的有效性。
Generally, uniformity can be improved at the cost of a low diffraction efficiency in the design of diffractive optical elements by the conventional iterative Fourier transform algorithm. This trade-off is a fundamental limitation of the conventional iterative Fourier transform algorithm. However in this letter, a novel iterative Fourier transform algorithm with adaptive regularization parameter distribution for alleviating the trade-off between uniformity and diffraction efficiency and for improving uniformity is devised on the basis of the theoretical analysis of the trade-off property in the conventional iterative Fourier transform algorithm scheme. The validity of the proposed algorithm is proved by numerical experiments.