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[ "张无际(1995- ),男,杭州电子科技大学硕士生,主要研究方向为信息与信号处理、无线通信等" ]
[ "刘顺兰(1965- ),女,杭州电子科技大学教授,主要研究方向为信息与信号处理、无线通信等" ]
[ "包建荣(1978- ),男,博士,杭州电子科技大学教授,主要研究方向为空间无线通信、通信信号处理与自主无线电等" ]
网络出版日期:2020-02,
纸质出版日期:2020-02-20
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张无际, 刘顺兰, 包建荣. 基于随机矩阵特征值比的机会协作频谱感知[J]. 电信科学, 2020,36(2):61-67.
Wuji ZHANG, Shunlan LIU, Jianrong BAO. Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix[J]. Telecommunications science, 2020, 36(2): 61-67.
张无际, 刘顺兰, 包建荣. 基于随机矩阵特征值比的机会协作频谱感知[J]. 电信科学, 2020,36(2):61-67. DOI: 10.11959/j.issn.1000-0801.2020043.
Wuji ZHANG, Shunlan LIU, Jianrong BAO. Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix[J]. Telecommunications science, 2020, 36(2): 61-67. DOI: 10.11959/j.issn.1000-0801.2020043.
针对传统频谱感知检测概率较低的不足,提出了一种基于随机矩阵特征值比的机会协作频谱感知算法。该算法在随机检测理论基础上,利用双门限,加入机会协作机制,对传统最大最小特征值(MME)算法进行改进,并保留了传统能量检测算法的低复杂度优势。在已知虚警概率前提下,推导了判决门限,并在接收中依靠奇偶时隙划分,有效实现了机会协作。仿真结果表明,在低信噪比和低虚警概率的情况下,所提频谱感知算法,相对MME算法有更高的检测概率,适合在恶劣传输信道的无线通信中应用。
To overcome the deficiencies of low detection probability of traditional spectrum sensing
an EROC spectrum sensing algorithm based on the eigenvalue ratio of a random matrix was proposed.Based on the random detection theory
it used double thresholds and opportunistic cooperation to improve of traditional maximum and minimum eigenvalue (MME) algorithm
and it retained the advantages of the traditional energy detection algorithm.Moreover
on the premise of known false alarm probability
the decision threshold was deduced
and the odd-even slot division was used to effectively realize opportunistic cooperation in reception.Simulation results show that the proposed spectrum sensing algorithm has higher detection probability than MME algorithms in case of low signal-to-noise ratio and low false alarm probability.Therefore
it is suitable for application in wireless communications with deteriorate transmission channels.
YIN S , CHEN D , ZHANG Q , et al . Mining spectrum usage data:A large-scale spectrum measurement study [J ] . IEEE Transactions on Mobile Computing , 2012 : 1033 - 1046 .
CABRIC D , MISHRA S , ROBERT W . Brodersen,implementation issues in spectrum sensing for cognitive radios [Z ] . 2004 :
HATKIN S . Cognitive radio:brain-empowered wireless communications [J ] . IEEE Journal on Selected Areas in Communications , 2005 : 201 - 220 .
MITOLA J , MAGUIRE G O . Cognitive radios:making software radios more personal [J ] . IEEE Personal Communications , 1999 : 13 - 18 .
CABRIC D , MISHRA S M , BRODERSEN R . Implementation issues in spectrum sensing for cognitive radios [C ] // 38th Asilomar Conference on Signals,Systems and Computers,October 11-12,2004,Pacific Grove,CA,USA.[S.l.:s.n . ] , 2004 : 772 - 776 .
AKYILDIZ I F , LEE W Y , VURAN M C , et al . Next generation/dynamic spectrum access/cognitive radio wireless networks:a survey [J ] . Computer Networks , 2006 : 2127 - 2159 .
ZENG Y H , LIANG Y C . Maximum-MInimum eigenvalue detection for cognitive radio [C ] // The 18th Annual IEEE International Symposium on Personal,Indoor and Mobile Radio Communications,sep 3-7,2007,Achens,Greece . Piscataway:IEEE Press , 2007 .
徐家品 , 杨智 . 基于随机矩阵特征值比的频谱感知改进算法 [J ] . 电波科学学报 , 2015 , 30 ( 2 ): 282 - 288 .
XU J P , YANG Z . Improved spectrum sensing algorithm based on random matrix eigenvalue ratio [J ] . Journal of Radio Science , 2015 , 30 ( 2 ): 282 - 288 .
GAMESAN G , LI Y . Cognitive radio-part I:two user networks [J ] . IEEE Transactions on Wireless Communications , 2007 : 2204 - 2213 .
GANESAN G , LI Y G . Cooperative spectrum sensing in cognitive radio-part II:multiuser networks [J ] . IEEE Transactions on Wireless Communications , 2007 : 2214 - 2222 .
TULINO A M . Random matrix theory and wireless communication [M ] . New York : ACM PressPress , 2004 .
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