吉首大学学报（自然科学版）2017，Vol.38Issue(6)：38-42,5.DOI:10.3969/j.cnki.jdxb.2017.06.009
一种改进的基于MME的盲频谱感知算法
An Improved Blind Spectrum Sensing Algorithm Based on the Ratio of Maximum and Minimum Eigenvalues
摘要
Abstract
The blind spectrum sensing algorithm based on the ratio of the maximum and minimum eigenvalues (MME) has attracted much attention in cognitive radio.One of the main advantages of this method is that no prior information of the wireless channel,the noise variance and the primary signal pattern is needed in the process of spectrum sensing.However,the determination of the corresponding decision threshold for MME method is still a difficult problem in practical applications.In this paper,a new MME method based on the improved decision threshold has been proposed.The proposed MME algorithm can obtain more reliable detection performance than the original algorithms.Simulation results verify the effectiveness of the proposed MME method.关键词
认知无线电/盲频谱感知/最大-最小特征值之比/取样协方差矩阵/随机矩阵理论Key words
cognitive radio/blind spectrum sensing/ratio of the maximum and minimum eigenvalues/sample covariance matrix/random matrix theory分类
信息技术与安全科学引用本文复制引用
王韩瑞,黄小玉,江玮,翟丰鋆,雷可君..一种改进的基于MME的盲频谱感知算法[J].吉首大学学报（自然科学版）,2017,38(6):38-42,5.基金项目
National Natural Science Foundation of China (61362018) （61362018）
Hunan Provincial Department of Education (16A174) （16A174）
Doctor Recruitment Project in Jishou University （）
Project of Exploratory Learning and Innovative Experiment for College Students of Hunan Province (2016[283]) （2016[283]）
