基于大数据技术的通信扰动信号快速分类方法

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中图分类号：G642，TN92，TP3 文献标志码：B

文章编码：1672-7274（2025）11-0041-03

Fast Classification Method for Communication Disturbance Signals Based on Big Data Technology

WANG Ying （NanchangNormal University，Nanchang33oo32，China）

Abstract： Conventional communication disturbance signal clasification methods have problems such as low effciency and insuficient accuracy when dealing with large-scale and diverse communication disturbance signals， making it diffcult to meet thedualrequirements of real-timeand accuracy.Inresponse to these issues，this article studies a fast classification method for communication disturbance signals based on big data technology.This method first applies wavelet denoising to thecommunication signal to improve its signal-to-noiseratio; Subsequently multidimensional parameters wereused to identifythecharacteristics of disturbance signals;Further utilize big data technologyto fuseand clusterfeature vectors，forming signalclusterswith similar features;Finally，basedon feature similarity matching，fastclassificationof perturbed signals isachieved.Theexperimentalresultsshowthatthis method can significantly improve the classification efficiency and accuracy of communication disturbance signals.

Keywords： big data technology; communication disturbance signal; quick classification; multidimensional parameters; fusion clustering

通信系统广泛应用于各个领域，但通信信号在传输过程中面临着诸多挑战。（剩余3498字）