基于最大最小特征值之差的频谱感知技术研究

DMM Based Spectrum Sensing Method for Cognitive Radio Systems

频谱感知技术是认知无线电系统的关键技术之一,该文基于阵列天线理论,利用并分析接收信号相关矩阵,并以其最大与最小特征值之差作为检验统计量,进而判断主用户是否存在,实现频谱感知。理论分析和仿真结果均表明,此方法的感知性能明显优于能量检测算法,并且有效地解决了噪声不确定度对检测性能的影响。

Spectrum sensing is one of the key technologies for cognitive radio systems.After analyzing the correlation matrix of the received signals,the Difference between the Maximum eigenvalue and the Minimum eigenvalue（DMM） is employed as the test statistic to sense the available spectrum for the cognitive users.Both the simulation and the theoretical results show that the proposed method is robust to noise uncertainty,and greatly outperforms the classical energy detection method.