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基于改进狼群算法的光纤测试中光谱重叠优化研究 被引量:2

Research on Optimization of Spectral Overlap in Optical Fiber Testing Based on Improved Wolf Pack Algorithm
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摘要 提出了一种基于改进狼群算法的解调方法,引入随机扰动因子和模拟退火,采用谱形复用方法识别重叠光谱中光栅的波长,进行分析解耦。结果表明,该方法能准确识别中心波长,可有效解决光谱部分重叠和完全重叠等问题,提高了光纤通信的可靠性。 A demodulation method based on improved wolf pack algorithm is proposed,which introduces random perturbation factor and simulated annealing,and adopts spectral shape multiplexing method to identify the wavelength of grating in overlapping spectrum for analysis and decoupling.The results show that this method can identify the center wavelength accurately,solve the problems of partial overlapping and complete overlapping of spectra effectively,and improve the reliability of optical fiber communication.
作者 刘邦 曲鸿春 贺开放 王亚坤 冯豆 李强 赵子玮 LIU Bang;QU Hongchun;HE Kaifang;WANG Yakun;FENG Dou;LI Qiang;ZHAO Ziwei(State Grid Bozliou Electric Power Supply Company,Bozhou 236800,China;China Three Gorges University,Yichang 443002,China)
出处 《山东电力高等专科学校学报》 2021年第6期1-5,共5页 Journal of Shandong Electric Power College
基金 国家电网有限公司科技项目“光纤智能检测及分析装置的研制”(项目编号:JS20200110000815)。
关键词 光纤网络 改进狼群算法 中心波长 optical fiber network improved wolf pack algorithm center wavelength
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