深圳大学学报（理工版）2012，Vol.29Issue(2)：107-112,6.DOI:10.3724/SP.J.1249.2012.02107
基于特征值矩阵的循环平稳检测算法
Cyclostationary spectrum sensing algorithm based on eigenvalues matrix
摘要
Abstract
There was a certain amount of loss in the correlation of cyclic autocorrelation function vector with cy-clostationary spectrum sensing algorithm when the decision statistics were calculated. The calculation method of cyclic statistics based on eigenvalues matrix was proposed, and therefore, the covariance matrix was replaced by its eigenvalues matrix. The correlation information of the cyclic autocorrelation function was preserved. In addition, the computational complexity was reduced. Simulation results show that the detection performance of the algorithm is better than that of the classical cyclostationary detector at low SNR.关键词
通信技术/认知无线电/频谱感知/循环平稳特征检测/特征值矩阵Key words
communication technology/ cognitive radio/ spectrum sensing/ cyclostationary detection/ eigenvalues matrix分类
信息技术与安全科学引用本文复制引用
赵春晖,马爽,成宝芝..基于特征值矩阵的循环平稳检测算法[J].深圳大学学报（理工版）,2012,29(2):107-112,6.基金项目
国家自然科学基金资助项目(61077079) （61077079）
