%0 Journal Article %T DET Cooperative Spectrum Sensing Algorithm Based on Random Matrix Theory
基于随机矩阵理论的DET合作频谱感知算法 %A Cao Kai-tian %A Yang Zhen %A
曹开田 %A 杨震 %J 电子与信息学报 %D 2010 %I %X 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 a few of secondary users and is more robust to the noise uncertainty compared with the conventional sensing schemes. %K Cooperative spectrum sensing %K Random matrix theory %K Sample covariance matrix %K Maximum eigenvalue
合作频谱感知 %K 随机矩阵理论 %K 采样协方差矩阵 %K 最大特征值 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=4F84A2DEE9B155201320D1DCECE7489C&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=CA4FD0336C81A37A&sid=28F8B56DB6BEE30E&eid=03A030BB0C519C60&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=2&reference_num=11