现代电子技术Issue(7)：19-22,4.
认知无线电中基于支持向量机的频谱空闲度预测
SVM-based prediction of spectrum idle rate in cognitive radio systems
摘要
Abstract
A construction method of SVM⁃based prediction model for the spectrum idle rate in cognitive radio systems is proposed according to the non⁃linear characteristics of carrier frequency idle rate time sequence of GSM system. To enhance the prediction accuracy of the model,the data sequence is reconstructed according to the holiday and daily⁃cycle properties,and feature analysis of the idle rate time sequence of GSM system. The simulation results show that the proposed model has more ac⁃curate prediction in workday and weekend than the prediction model based on neural network. The absolute percentage error of its prediction is within 4.关键词
支持向量机/频谱预测/认知无线电/神经网络Key words
support vector machine/spectrum prediction/cognitive radio/neural network分类
信息技术与安全科学引用本文复制引用
李红岩..认知无线电中基于支持向量机的频谱空闲度预测[J].现代电子技术,2015,(7):19-22,4.基金项目
河南省科技攻关项目（132102110220）；河南省教育厅重点研究项目资助（14B510016）；河南工业大学横向科研合作项目 （）
