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Automatic polarization-mode dispersion compensation by a particle-swarm optimization method and adaptive dithering algorithm

机译:基于粒子群优化方法和自适应抖动算法的自动偏振模色散补偿

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摘要

We demonstrate multistage polarization-mode dispersion (PMD) compensation numerically and experimentally by using a particle-swarm optimization (PSO) algorithm in the searching process and an adaptive dithering algorithm in the tracking process. PMD compensation in a 40-Gb/s nonreturn-to-zero (NRZ) system based on the algorithm with a global neighborhood structure in one channel and in two channels is explored numerically. The numerical results show that the PSO algorithm is very efficient for multiple-degree-of-freedom PMD compensation systems. For high-PMD compensation the algorithm with a local neighborhood structure is more efficient than that with a global neighborhood structure. We also investigate the performance of PSO in an experiment, where 4-degree-of-freedom PMD compensation is demonstrated in 10-Gb/s NRZ and return-to-zero (RZ) systems. The total search time with the PSO algorithm is several hundred milliseconds, and the response time for the compensator to recover from a sudden disturbance is less than 20 ms. (C) 2005 Optical Society of America.
机译:我们在搜索过程中使用粒子群优化(PSO)算法,在跟踪过程中使用自适应抖动算法,通过数值和实验演示了多级偏振模式色散(PMD)补偿。基于一种算法在一个通道和两个通道中具有全局邻域结构的算法,在40 Gb / s不归零(NRZ)系统中进行PMD补偿的数值研究。数值结果表明,PSO算法对于多自由度PMD补偿系统非常有效。对于高PMD补偿,具有局部邻域结构的算法比具有全局邻域结构的算法更有效。我们还在一个实验中研究了PSO的性能,该实验在10 Gb / s NRZ和归零(RZ)系统中展示了4自由度PMD补偿。 PSO算法的总搜索时间为数百毫秒,补偿器从突然的干扰中恢复的响应时间小于20 ms。 (C)2005年美国眼镜学会。

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