关于子波变换的无线通信网络干扰信号检测探析  

Detection of interference signals in wireless communication networks based on wavelet transform

作　　者：赵亮[1] Zhao Liang(Hubei Transmission Bureau of China Telecom Co.,Ltd.,Hubei Wuhan,430034)

机构地区：[1]中国电信股份有限公司湖北传输局,湖北武汉430034

出　　处：《电子测试》2022年第23期48-50,33,共4页Electronic Test

摘　　要：无线通信网络运行环境复杂,受各种噪声的干扰影响较大,准确检测识别并及时处理噪声干扰可以确保无线通信效果,本文利用子波变换来检查干扰信号,首先建立了干扰信号信道和数学模型,其次改进了子波变换的滤波算法并引入阈值去噪和混沌循环谱法,结合门限值实现干扰信号检测。最后通过仿真实验证实子波变换在检测和过滤噪声干扰信号方面切实有效。The operation environment of wireless communication network is complex, and it is greatly affected by various noises. Accurate detection, identification and timely processing of noise interference can ensure the effect of wireless communication. In this paper, wavelet transform is used to check the interference signal. First, the interference signal channel and mathematical model are established.Second, the filtering algorithm of wavelet transform is improved, and threshold de-noising and chaotic cyclic spectrum method are introduced. Combined with the threshold value, interference signal detection is realized. Finally, the real wavelet transform is verified to be effective in detecting and filtering noise interference signals by simulation.

关 键 词：无线通信 子波变换 干扰信号 检测方法 

分 类 号：TN911[电子电信—通信与信息系统]