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作 者:董良雷 钱金鑫 DONG Liang-lei;QIAN Jin-xin(Turpan Power Supply Company,State Grid Xinjiang Electric Power Co.,Ltd.,Tulufan 838000,China)
机构地区:[1]国网新疆电力有限公司吐鲁番供电公司,新疆吐鲁番838000
出 处:《电子设计工程》2020年第6期149-152,157,共5页Electronic Design Engineering
基 金:山东大学青年科学基金项目(51507093)。
摘 要:传统方法在光纤传输通信设备异常信号自动跟踪中的追踪效果不佳,追踪误差大。本文在传统方法的基础上,提出一种新的光纤传输通信设备异常信号自动跟踪方法。首先构建系统模型,通过干扰器检测瞬时异常信号,并对频率进行分类;采用TBD算法对异常信号特征提取,依据QMC算法对光纤传输通信设备异常伪信号进行去除,最后根据马尔科夫链方法对的异常信号进行定位;通过滤波算法实现粒子的均匀分布,促成粒子信号之间的优化平衡,根据调制跟踪方法实现异常信号自动跟踪。为检测方法效果,设置了有效性验证实验,结果表明,本文研究方法可以准确地追踪到光纤传输通信设备异常信号。Traditionally,the tracking effect is not good and the tracking error is large in the abnormal signal automatic tracking of optical fiber transmission and communication equipment.Based on the traditional method,this paper proposes a new method for automatic tracking of abnormal signals in optical fiber transmission communication equipment.Firstly,build a system model,detect transient anomalies by jammers,and classify frequencies.The TBD algorithm was used to extract the characteristics of abnormal signals,and the abnormal pseudo-signals of optical fiber transmission communication equipment were removed according to the QMC algorithm.Finally,the abnormal signals were located according to the markov chain method.The uniform distribution of particles is realized by filtering algorithm,and the optimal balance between particle signals is achieved.The abnormal signals are tracked automatically according to the modulation tracking method.In order to detect the effect of the method,a validation experiment is set up.The results show that the research method in this paper can accurately track the abnormal signal of optical fiber transmission communication equipment.
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