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Research on optimized algorithm in the PMD adaptive compensation
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Paper Abstract

Dynamic programming, the ordinary adaptive compensation in the operational research, is used to resolve extremum of functions under the constraint condition. In this paper, it is introduced that, fundamentals, methods and steps about the first-order PMD compensation by dynamic programming. The result shows that, for the first-order PMD compensation, dynamic programming is used to carry out optimized design, and the result is satisfied. Beginning with recursive relation of PMD vectors in the fiber and the compensation devices, mathematical model of the first-order PMD compensation is established. Through optimized algorithm using dynamic programming, simulation and experiment for PMD adaptive compensation are both implemented. Some optimized algorithms once used in the PMD adaptive compensation have slow speed to approximate the optimal value and tends to become the local optimal solution; but if optimized algorithm using dynamic programming can approximate the global optimal solution directly. Therefore, it has the advantage of fast optimized speed. On this basis, the image of optimal solution is given and analyzed. PMD compensation scheme, based on PMD compensation vector, is proposed. The algorithm principle of adjusting control and the direction of improvement are also put forward. These results are benefit for dynamic adaptive compensation of PMD.

Paper Details

Date Published: 11 February 2005
PDF: 8 pages
Proc. SPIE 5625, Optical Transmission, Switching, and Subsystems II, (11 February 2005); doi: 10.1117/12.570141
Show Author Affiliations
Tangjun Li, Beijing Jiaotong Univ. (China)
Muguang Wang, Beijing Jiaotong Univ. (China)
Shuisheng Jian, Beijing Jiaotong Univ. (China)
Yong Chen, Beijing Jiaotong Univ. (China)
Jihong Cao, Beijing Jiaotong Univ. (China)
Libo Cai, Beijing Jiaotong Univ. (China)
Jing Zhao, Beijing Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 5625:
Optical Transmission, Switching, and Subsystems II
Cedric F. Lam; Wanyi Gu; Norbert Hanik; Kimio Oguchi, Editor(s)

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