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PSO-based Control Algorithm for Polarization Mode Dispersion Self-adaptive Compensation
作者姓名:ZHU  Jin-jun  ZHANG  Xiao-guang  DUAN  Gao-yan  WANG  Qiu-guo
作者单位:[1]Department of Physics, Beijing University of Posts and Telecommunications, Beijing 100876, CHN [2]Key Laboratory of Optical Communication and Lightwave Technologies, Ministry of Education, Beijing 100876, CHN
基金项目:National Natural Science Foundation of China(60577046); Cooperation Building Project of Beijing Education Committee(XK100130437).
摘    要:Polarization mode dispersion(PMD) is considered to be the ultimate limitation in high-speed optical fiber communication systems. Establishing an effective control algorithm for adaptive PMD compensation is a challenging task, because PMD possesses the time-varying and statistical properties. The particle swarm optimization(PSO) algorithm is introduced into self-adaptive PMD compensation as feedback control algorithm. The experiment results show that PSO-based control algorithm has some unique features of rapid convergence to the global optimum without being trapped in local sub-optima and good robustness to noise in the optical fiber transmission line that has never been achieved in PMD compensation before.

关 键 词:光纤通信  颗粒集群优化  控制算法  极化模式  自适应补偿
文章编号:1007-0206(2006)04-0217-07
收稿时间:2006-05-18
修稿时间:2006-05-24

PSO-based Control Algorithm for Polarization Mode Dispersion Self-adaptive Compensation
ZHU Jin-jun ZHANG Xiao-guang DUAN Gao-yan WANG Qiu-guo.PSO-based Control Algorithm for Polarization Mode Dispersion Self-adaptive Compensation[J].Semiconductor Photonics and Technology,2006,12(4):217-223,256.
Authors:ZHU Jin-jun  ZHANG Xiao-guang  DUAN Gao-yan  WANG Qiu-guo
Abstract:Polarization mode dispersion(PMD) is considered to be the ultimate limitation in high-speed optical fiber communication systems. Establishing an effective control algorithm for adaptive PMD compensation is a challenging task, because PMD possesses the time-varying and statistical properties. The particle swarm optimization(PSO) algorithm is introduced into self-adaptive PMD compensation as feedback control algorithm. The experiment results show that PSO-based control algorithm has some unique features of rapid convergence to the global optimum without being trapped in local sub-optima and good robustness to noise in the optical fiber transmission line that has never been achieved in PMD compensation before.
Keywords:Polarization mode dispersion  Particle swarm optimization  Self-adaptive compensation
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