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光通信中零色散光栅滤波器的粒子群优化算法设计
引用本文:赵俊荣,余震虹,杜林.光通信中零色散光栅滤波器的粒子群优化算法设计[J].江南大学学报(自然科学版),2007,6(1):69-71.
作者姓名:赵俊荣  余震虹  杜林
作者单位:江南大学,控制科学与工程中心,江苏,无锡,214122
摘    要:介绍了光通信中零色散光栅滤波器的一种粒子群优化算法(PSO),通过将龙格-库塔计算的反射谱和粒子群优化算法相结合,对零色散光栅耦合系数进行了优化设计.相对于其他算法,PSO的优势在于简单易行且功能较强.

关 键 词:光栅设计  耦合系数  粒子群  滤波器
文章编号:1671-7147(2007)01-0069-03
收稿时间:2005-04-07
修稿时间:2005-04-072005-05-30

Particle Swarm Optimization Algorithms in Synthesis of Fiber Gratings for the Non-Dispersion Filters in the Optical Communication
ZHAO Jun-rong,YU Zhen-hong,DU Lin.Particle Swarm Optimization Algorithms in Synthesis of Fiber Gratings for the Non-Dispersion Filters in the Optical Communication[J].Journal of Southern Yangtze University:Natural Science Edition,2007,6(1):69-71.
Authors:ZHAO Jun-rong  YU Zhen-hong  DU Lin
Institution:Research Center of Control Science and Engineering,Southern Yangtze University, Wuxi 214122, China
Abstract:A novel particle swarm optimization algorithm is introduced for the synthesis of fiber grating for the non-dispersion filters in the optical communication.By combining the Runge-Kutta method for calculating the reflection spectrum of a fiber grating and the particle swarm optimization algorithm,The coupling coefficient is optimized for the non-dispersion filters.PSO have become the hotspot of evolutionary computation because of its excellent performance and simple implementation.
Keywords:grating synthesis  coupling coefficient  particle swarm  dispersion compensation
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