现代电子技术2025，Vol.48Issue(6)：9-15,7.DOI:10.16652/j.issn.1004-373x.2025.06.002
基于WD-LSTM的宽带电磁辐射时序建模预测方法
Method for wideband electromagnetic radiation time series modeling prediction based on WD-LSTM
杨晨 1宋欣蔚 1岳云涛1
作者信息
- 1. 北京建筑大学 智能科学与技术学院,北京 100044
- 折叠
摘要
Abstract
The rapid development of wireless communication technology and the wide use of products containing related functions make the environmental electromagnetic field present complex changing characteristics,and the urban electromagnetic environment is deteriorating day by day.Therefore,the analysis and prediction of electromagnetic radiation is of great importance for potential risk warning and control.The broadband electromagnetic radiation in the core street of typical business district of Beijing is measured and analyzed by means of the short time Fourier transform(STFT).The analysis results show that the time-varying rule of electromagnetic radiation is correlated with people's rest and rest activities,and it presents a strong low-frequency periodicity and high-frequency volatility due to the intensive use of wireless devices in some periods,which will lead to the poor prediction effect of a single time-series modeling method.On this basis,a hybrid prediction method combining Wavelet decomposition(WD)and long short-term memory(LSTM)model is proposed.The method is based on the time-frequency characteristics of electromagnetic radiation,which is decomposed into main period components and detail components for the hierarchical prediction to adapt to the complex urban electromagnetic environment conditions.The proposed method is compared with other typical time-series prediction models based on measured data.The results show that the proposed method has higher prediction accuracy and stronger outlier adaptability and stability.关键词
宽带电磁辐射/时间序列/小波分解/长短时记忆模型/时频特性/分层预测Key words
electromagnetic radiation/time series/wavelet decomposition/long short-term memory/time-frequency characteristics/hierarchical prediction分类
信息技术与安全科学引用本文复制引用
杨晨,宋欣蔚,岳云涛..基于WD-LSTM的宽带电磁辐射时序建模预测方法[J].现代电子技术,2025,48(6):9-15,7.
