电子学报2017，Vol.45Issue(8)：2026-2030,5.DOI:10.3969/j.issn.0372-2112.2017.08.031
一种非平稳非线性频谱占用度时间序列分析方法
A Method for Analysis of Non-linear and Non-stationary Spectrum Occupancy Time Series
摘要
Abstract
In order to analyze the non-linear and non-stationary spectrum occupancy time series which cannot be directly analyzed base on traditional time series method,a novel prediction modelling method of spectrum occupancy time series based on ensemble empirical mode decomposition (EEMD) and Artificial Neural Network (ANN) is proposed.Firstly,the spectrum occupancy time series is decomposed into serval intrinsic model function (IMF) so as to make every component stationary.Then in view of the stationary time series,a prediction ANN model is established correspondingly for each IMF.Simulative experiment for practical measured data shows that the proposed method has higher precision in comparison with other methods,i.e.,effective to non-linear and ono-stationary complicated spectrum occupancy time series prediction.关键词
电磁环境/电磁频谱/频谱占用度/集合经验模式分解Key words
electromagnetic environment/electromagnetic spectrum/spectrum occupancy/ensemble empirical mode decomposition (EEMD)分类
信息技术与安全科学引用本文复制引用
魏鸿浩,贾云峰..一种非平稳非线性频谱占用度时间序列分析方法[J].电子学报,2017,45(8):2026-2030,5.基金项目
国家自然科学基金(No.61371007) （No.61371007）
