The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A compensação de dispersão do modo de polarização adaptativa (PMD) é necessária para a aceleração e o avanço das atuais comunicações ópticas. A combinação de um compensador PMD ajustável e seu método de controle adaptativo alcança a compensação PMD adaptativa. Neste artigo, relatamos um algoritmo de controle de busca eficaz para o controle de feedback do compensador PMD. O algoritmo é baseado no método de escalada. No entanto, o tamanho do passo muda aleatoriamente para evitar que a convergência fique presa em um máximo local ou plano, ao contrário do método convencional de escalada. A aleatoriedade depende das funções gaussianas de densidade de probabilidade. Realizamos simulações de transmissão a 160 Gb/s e os resultados mostram que o método proposto fornece um controle do compensador mais ideal do que o método convencional de escalada.
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Ken TANIZAWA, Akira HIROSE, "Search Control Algorithm Based on Random Step Size Hill-Climbing Method for Adaptive PMD Compensation" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 8, pp. 2584-2590, August 2009, doi: 10.1587/transcom.E92.B.2584.
Abstract: Adaptive polarization mode dispersion (PMD) compensation is required for the speed-up and advancement of the present optical communications. The combination of a tunable PMD compensator and its adaptive control method achieves adaptive PMD compensation. In this paper, we report an effective search control algorithm for the feedback control of the PMD compensator. The algorithm is based on the hill-climbing method. However, the step size changes randomly to prevent the convergence from being trapped at a local maximum or a flat, unlike the conventional hill-climbing method. The randomness depends on the Gaussian probability density functions. We conducted transmission simulations at 160 Gb/s and the results show that the proposed method provides more optimal compensator control than the conventional hill-climbing method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2584/_p
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@ARTICLE{e92-b_8_2584,
author={Ken TANIZAWA, Akira HIROSE, },
journal={IEICE TRANSACTIONS on Communications},
title={Search Control Algorithm Based on Random Step Size Hill-Climbing Method for Adaptive PMD Compensation},
year={2009},
volume={E92-B},
number={8},
pages={2584-2590},
abstract={Adaptive polarization mode dispersion (PMD) compensation is required for the speed-up and advancement of the present optical communications. The combination of a tunable PMD compensator and its adaptive control method achieves adaptive PMD compensation. In this paper, we report an effective search control algorithm for the feedback control of the PMD compensator. The algorithm is based on the hill-climbing method. However, the step size changes randomly to prevent the convergence from being trapped at a local maximum or a flat, unlike the conventional hill-climbing method. The randomness depends on the Gaussian probability density functions. We conducted transmission simulations at 160 Gb/s and the results show that the proposed method provides more optimal compensator control than the conventional hill-climbing method.},
keywords={},
doi={10.1587/transcom.E92.B.2584},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Search Control Algorithm Based on Random Step Size Hill-Climbing Method for Adaptive PMD Compensation
T2 - IEICE TRANSACTIONS on Communications
SP - 2584
EP - 2590
AU - Ken TANIZAWA
AU - Akira HIROSE
PY - 2009
DO - 10.1587/transcom.E92.B.2584
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2009
AB - Adaptive polarization mode dispersion (PMD) compensation is required for the speed-up and advancement of the present optical communications. The combination of a tunable PMD compensator and its adaptive control method achieves adaptive PMD compensation. In this paper, we report an effective search control algorithm for the feedback control of the PMD compensator. The algorithm is based on the hill-climbing method. However, the step size changes randomly to prevent the convergence from being trapped at a local maximum or a flat, unlike the conventional hill-climbing method. The randomness depends on the Gaussian probability density functions. We conducted transmission simulations at 160 Gb/s and the results show that the proposed method provides more optimal compensator control than the conventional hill-climbing method.
ER -