摘要
由于传统方法在无线通信网络信号异常诊断中应用效果不佳,不仅漏诊率比较高,而且诊断准确度比较低,无法达到预期的诊断效果,为此提出基于大数据分析技术的无线通信网络信号异常诊断方法。利用信号采集器捕获网络信号,并对网络信号数据归一化和标准化处理,利用大数据分析技术提取到网络信号特征,根据信号特征识别诊断网络异常状态,以此完成基于大数据分析技术的无线通信网络信号异常诊断。经实验证明,设计方法漏诊率低于1%,诊断准确度在99%以上,为无线通信网络信号异常诊断提供了参考依据。
Due to the poor application effect of the traditional method in the abnormal diagnosis of wireless communication network signal,the missed diagnosis rate is high,and the diagnosis accuracy is low,which cannot achieve the expected diagnosis effect.Therefore,the abnormal diagnosis method of wireless communication network signal based on big data analysis technology is proposed.The signal collector is used to capture the network signal,normalize and standardize the network signal data,and the big data analysis technology is used to extract the network signal features,and identify and diagnose the network abnormal state according to the signal characteristics,so as to complete the abnormal diagnosis of the wireless communication network signal based on the big data analysis technology.The experiment proves that the missed diagnosis rate of the design method is less than 1%,and the diagnosis accuracy is more than 99%,which provides a reference for the abnormal diagnosis of wireless communication network signals.
作者
吴思洋
WU Siyang(School of Statistics University of International Business and Economics,Shenyang 110000,China)
出处
《长江信息通信》
2024年第2期10-13,共4页
Changjiang Information & Communications
关键词
大数据分析技术
无线通信网络
信号异常
归一化
标准化
big data analysis technology
wireless communication network
signal abnormality
normalization
standardization
