用于普查仪的通信网络非线性突变频率干扰检测算法研究  

Research on Nonlinear Mutation Frequency Interference Detection Algorithm for Communication Networks Used in Census Instruments

作　　者：胡欣 殷超 沈伟 陈子墨 陈逸君 HU Xin;YIN Chao;SHEN Wei;CHEN Zimo;CHEN Yijun

机构地区：[1]国网江苏省电力有限公司泰州供电分公司,江苏泰州225300 [2]泰州开泰电力设计有限公司,江苏泰州225300

出　　处：《电力系统装备》2025年第1期118-120,共3页Electric Power System Equipment

摘　　要：随着现代通信网络复杂性的不断增加,非线性突变频率干扰对信号传输质量的影响愈发显著,会干扰普查仪的正常工作.为了应对这一挑战,文章研究并提出了一种基于短时傅里叶变换和稀疏表示的非线性突变频率干扰检测算法.该算法采用稀疏表示方法对信号进行特征提取与干扰检测.仿真实验结果表明,该算法在保证检测精度的同时,具有较高的计算效率和鲁棒性,能够有效识别复杂通信环境中的突变干扰源.With the increasing complexity of modern communication networks,the impact of nonlinear mutation frequency interference on signal transmission quality has become increasingly significant,which can interfere with the normal operation of census instruments.To address this challenge,this paper studies and proposes a nonlinear mutation frequency interference detection algorithm based on short-time Fourier transform and sparse representation.This algorithm uses sparse representation method to extract features and detect interference from signals.The simulation experiment results show that the algorithm has high computational efficiency and robustness while ensuring detection accuracy,and can effectively identify sudden interference sources in complex communication environments.

关 键 词：普查仪 短时傅里叶变换 稀疏表示 信号干扰 非线性突变频率干扰 

分 类 号：TN929.1[电子电信—通信与信息系统]