Paper Info
Title
An application of intelligent PSO algorithm to adaptive compensation for polarization mode dispersion in optical fiber communication systems
Abstract
In high bit rate optical fiber communication systems, Polarization mode dispersion (PMD) is one of the main factors to signal distortion and needs to be compensated. Because PMD possesses the time-varying and statistical properties, to establish an effective control algorithm for adaptive or automatic PMD compensation is a challenging task. Widely used control algorithms are the gradient-based peak search methods, whose main drawbacks are easy being locked into local sub-optima for compensation and no ability to resist noise. In this paper, we introduce a new evolutionary approach, particle swarm optimization (PSO), into automatic PMD compensation as feedback control algorithm. The experiment results showed that PSO-based control algorithm had unique features of rapid convergence to the global optimum without being trapped in local sub-optima and good robustness to noise in the transmission line that had never been achieved in PMD compensation before.
Year
DOI
Venue
2006
10.1007/11903697_95
SEAL
Keywords
Field
DocType
pmd compensation,challenging task,optical fiber communication system,feedback control algorithm,local sub-optima,effective control algorithm,automatic pmd compensation,pso-based control algorithm,control algorithm,intelligent pso algorithm,polarization mode dispersion,main drawback,main factor,transmission line,feedback control
Gradient method,Particle swarm optimization,Search algorithm,Evolutionary algorithm,Control theory,Computer science,Robustness (computer science),Polarization mode dispersion,Adaptive control,Adaptive algorithm
Conference
Volume
ISSN
ISBN
4247
0302-9743
3-540-47331-9
Citations 
PageRank 
References 
0
0.34
2
Authors
6
Name
Order
Citations
PageRank
Xiaoguang Zhang157.56
Lixia Xi214.76
Gaoyan Duan312.06
Li Yu400.68
Zhongyuan Yu584.67
Bojun Yang622.86