传感技术学报2012，Vol.25Issue(6)：771-777,7.DOI:10.3969/j.issn.1004-1699.2012.06.011
认知无线电中基于特征值检测的频谱感知算法
Eigenvalues Detection Based Spectrum Sensing Algorithm for Cognitive Radio
摘要
Abstract
The task of spectrum sensing is to use the data collected by the sensing nodes( wireless sensors or cognitive users) to decide whether the spectrum holes exist or not.Recently,the maximum eigenvalue detection(MED) and the smallest eigenvalue detection(SED)methods have been proposed for spectrum sensing.Both of them perform well for the correlated signals,which is usually the case in realistic applications.However,the determinations of the thresholds for both the MED and the SED are quite involved,which limits their applications in practical sensing situations in cognitive radio(CR).Using all eigenvalues of the sample covariance matrix(SCM),a new algorithm based on the eigenvalues detection(ESD) is introduced.Multivariate statistical theories are used to obtain the decision threshold.The proposed ESD method can execute spectrum sensing without the information about the primary signal and the wireless channel.Meanwhile,it keeps the same computation complexity as that of the MED and the SED methods.More importantly,the ESD method relaxes the calculation requirement of the decision threshold by using a simple closedform expression.Simulation results verify the effectiveness of the proposed method.关键词
认知无线电/频谱感知/特征值检测/最大特征值检测/最小特征值检测/取样协方差矩阵Key words
cognitive radio (CR)/ spectrum sensing/ eigenvalues detection (ESD)/ maximum eigenvalue detection (MED)/ smallest eigenvalue detection (SED)/ the sample covariance matrix(SCM)分类
信息技术与安全科学引用本文复制引用
雷可君,杨喜,彭盛亮,曹秀英..认知无线电中基于特征值检测的频谱感知算法[J].传感技术学报,2012,25(6):771-777,7.基金项目
国家自然科学基金项目(61102089) （61102089）
湖南省教育厅科研项目(11C1058) （11C1058）
吉首大学新开课程建设项目(2011KCB03) （2011KCB03）
