中国激光, 2019, 46 (7): 0706001, 网络出版: 2019-07-11
光纤光栅谱形复用解调中粒子群算法的参数优化 下载: 944次
Parameter Optimization in Particle Swarm Algorithm for Spectral Shape Multiplexing Demodulation of Fiber Bragg Grating
光纤光学 谱形复用 粒子群算法 解调 参数优化 fiber optics spectral shape multiplexing particle swarm algorithm demodulation parameter optimization
摘要
结合应用广泛的粒子群算法,通过数值仿真,深入探究了其关键参数对解调误差的影响规律,发现光纤布拉格光栅(FBG)谱形复用数量越大,谱形重叠程度越大,关键参数选择的范围越小。以最大解调误差为评价指标,定量分析得出了关键参数的合理设置范围,在优化条件下,FBG谱形复用解调性能得以提升,并通过实验验证了这一结论。
Abstract
This study uses the extensively applied particle swarm algorithm to investigate the influence of the key parameters on the demodulation error using numerical simulation. The simulation results illustrate that the available range of key parameters reduces with the increase of the multiplexing number of the fiber Bragg grating (FBG) and the overlapping degree of spectral shape. Furthermore, with the maximum demodulation error as an evaluation index, we obtain a reasonable setting range of key parameters using a quantitative analysis. Under the optimal conditions, the performance of the spectral shape multiplexing demodulation of the FBG is improved, which is confirmed by the corresponding experiment.
张梅, 张伟, 章鹏, 陈伟民. 光纤光栅谱形复用解调中粒子群算法的参数优化[J]. 中国激光, 2019, 46(7): 0706001. Mei Zhang, Wei Zhang, Peng Zhang, Weimin Chen. Parameter Optimization in Particle Swarm Algorithm for Spectral Shape Multiplexing Demodulation of Fiber Bragg Grating[J]. Chinese Journal of Lasers, 2019, 46(7): 0706001.