基于随机矩阵理论的DET合作频谱感知算法  

DET Cooperative Spectrum Sensing Algorithm Based on Random Matrix Theory

作　　者：曹开田[1] 杨震[1] 

机构地区：[1]南京邮电大学信号处理与传输研究院,南京210003

出　　处：《电子与信息学报》2010年第1期129-134,共6页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(60772062;60971129);国家863计划项目(2009AA01Z241)资助课题

摘　　要：针对认知无线电系统中的频谱感知问题,该文采用随机矩阵理论(Random Matrix Theory,RMT)对多认知用户(Secondary User,SU)接收信号采样协方差矩阵的最大特征值的分布特性进行了分析和研究,提出了一种新的基于双特征值判决门限(Double Eigenvalue Threshold,DET)的合作频谱感知算法。由该算法感知性能的理论分析可知:DET合作感知算法无需主用户(Primary User,PU)发射机信号的先验知识,也不需要预先知道信道背景噪声功率。仿真结果表明,与传统的频谱感知方法相比,该方法只需较少的认知用户就能获得较高的感知性能,并且对噪声的不确定性具有较强的鲁棒性。In this paper, the DET （Double Eigenvalue Threshold） cooperative spectrum sensing algorithm is proposed through analyzing maximum eigenvalue distribution of the covariance matrix of the received signals by means of random matrix theory. DET cooperative sensing algorithm needs neither the prior acknowledge of the signal transmitted from primary user, nor the noise power in advance. Simulation results show that the proposed scheme can gain higher sensing performance with uncertainty compared with the conventional sensing a few of secondary users and is more robust to the noise schemes.

关 键 词：合作频谱感知 随机矩阵理论 采样协方差矩阵 最大特征值 

分 类 号：TN92[电子电信—通信与信息系统]