摘要
受到分布异构网络信道窃听用户的影响,现有微小故障识别方法得到的故障指标过少,导致实际识别出的微小故障数量过少的问题,研究一种基于激光光斑定位的分布异构网络微小故障识别方法。以城市密集环境的微基站位置分布作为异构网络的分布形式,以计数异构网络点作为网络故障指标,联合独立散射参数,控制窃听用户的影响,采用激光光斑定位微小故障位置,设定故障定位过程为一个网络场景,采用时序特征不断匹配监测程序的参数,最终实现微小故障识别方法的构建。采用已知参数的实验元件,组装激光光斑装置,设定装置参数后,分别使用文献16中的故障识别方法、文献8中的故障识别方法、传统故障识别方法以及文中设计的故障识别方法进行实验,结果表明:文中设计的故障识别方法识别微小故障数量最多。
Due to the influence of channel eavesdropping users in distributed heterogeneous network,the existing fault identification methods get too few fault indicators,which leads to the problem that the actual number of micro faults is too small. Taking the location distribution of micro base stations in urban dense environment as the distribution form of heterogeneous network,counting heterogeneous network points as the network fault index,combined with independent scattering parameters to control the influence of eavesdropping users,laser spot is used to locate the location of micro fault,and the fault location process is set as a network scene,and the time sequence characteristics are used to continuously match the parameters of the monitoring program The construction of micro fault identification method. The laser spot device is assembled by using the experimental elements with known parameters. After setting the device parameters,the fault identification method in reference 16,the fault identification method in reference 8,the traditional fault identification method and the fault identification method designed in the paper are used to carry out experiments.The results show that the fault identification method designed in this paper can identify the most small faults.
作者
李振美
LI Zhenmei(Jining University,Qvfii Shandong 2J3155,China)
出处
《激光杂志》
CAS
北大核心
2022年第5期171-175,共5页
Laser Journal
基金
山东省自然科学基金资助项目(No.ZR2018BA004)。
关键词
光斑定位
异构网络
微小故障
网络场景
spot positioning
heterogeneous network
minor fault
network scene
