现代信息科技2024，Vol.8Issue(8)：1-5,5.DOI:10.19850/j.cnki.2096-4706.2024.08.001
基于半监督学习的无线信道场景识别
Wireless Channel Scenario Classification Based on Semi-supervised Learning
谭思源1
作者信息
- 1. 西安电子工程研究所,陕西 西安 710000
- 折叠
摘要
Abstract
To address the issue of poor generalization of supervised learning,which can only effectively classify which channel scenario the channel data used for training belongs to,this paper proposes a wireless channel scenario classification method based on pseudo-label semi-supervised learning.Simulation results indicate that,when classifying the channel scenario corresponding to new data(originating from different sources but belonging to a known category of channel scenario in the model),the semi-supervised learning approach significantly outperforms supervised learning in terms of classification accuracy.Thus it can be seen,it is concluded that semi-supervised learning can enhance the generalization ability of wireless channel scenario classification models.关键词
信道场景识别/半监督/伪标签Key words
channel scenario classification/semi-supervised learning/pseudo label分类
信息技术与安全科学引用本文复制引用
谭思源..基于半监督学习的无线信道场景识别[J].现代信息科技,2024,8(8):1-5,5.
