An intelligent PSO-Based control algorithm for adaptive compensation polarization mode dispersion in optical fiber communication systems

Authors:
Xiaoguang Zhang;Lixia Xi;Gaoyan Duan;Li Yu;Zhongyuan Yu;Bojun Yang
Affiliations:
Department of Physics, Beijing University of Posts and Telecommunications, Beijing, China;Department of Physics, Beijing University of Posts and Telecommunications, Beijing, China;Department of Physics, Beijing University of Posts and Telecommunications, Beijing, China;Department of Physics, Beijing University of Posts and Telecommunications, Beijing, China;Department of Physics, Beijing University of Posts and Telecommunications, Beijing, China;Department of Physics, Beijing University of Posts and Telecommunications, Beijing, China
Venue:
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Year:
2006

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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 the 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 particle swarm optimization (PSO), which is an evolutionary approach, into automatic PMD compensation as feedback control algorithm. The experiment results showed that PSO-based control algorithm has 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.