微型电脑应用2025，Vol.41Issue(7)：256-259,4.
5G通信室分技术下隐性故障识别优化方法研究
Research on Optimization Method for Hidden Fault Identification under 5G Communication Indoor Distribution Technology
张婧1
作者信息
- 1. 中国移动通信集团云南有限公司,云南,昆明 650228
- 折叠
摘要
Abstract
Noise interferes with the hidden fault identification under 5G communication indoor distribution technology,and leads to poor recognition effect.This paper presents an optimization method of hidden fault identification based on improved K-nea-rest neighbor algorithm in 5G communication indoor distribution technology.5G communication signals are analyzed using em-pirical mode decomposition(EMD)algorithm,combined with wavelet threshold fitering denoising signals.By introducing K-nearest neigh bor algorithm and improving term frequency-inverse document frequency(TFIDF)distributed computing algo-rithm,combined with cosine similarity,the hidden fault identification method under 5G communication indoor distribution tech-nology is constructed to realize fault identification.The results show that the proposed method has good noise ability of 5G communication signal,the minimum mean square error is only 0.045,and the error rate is 1.72％.The method has certain ad-vantages in recognition ability and efficiency.关键词
改进K最近邻算法/5G通信/室分技术/隐性故障/识别优化Key words
improved K-nearest neighbor algorithm/5G communication/compartment partition technology/hidden fault/iden-tification optimization分类
信息技术与安全科学引用本文复制引用
张婧..5G通信室分技术下隐性故障识别优化方法研究[J].微型电脑应用,2025,41(7):256-259,4.
