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认知无线网络中基于特征向量的协方差盲检测方法
Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network
- 电信科学 2015年31卷第11期 页码：98-102
- 作者机构：
1. 国网江西省电力公司经济技术研究院 南昌 330043
2. 国网江西省电力公司 南昌 330077
- 作者简介：
[ "李映雪，男，博士，国网江西省电力公司经济技术研究院工程师，主要研究方向为无线认知网络和电力通信。" ]
[ "雷静，男，国网江西省电力公司高级工程师，主要研究方向为电力通信及自动化。" ]
[ "钟士元，男，现就职于国网江西省电力公司经济技术研究院，主要研究方向为智能电网技术。" ]
[ "黄春明，男，国网江西省电力公司经济技术研究院高级工程师，主要研究方向为通信与智能电网技术。" ]
[ "黄超，男，国网江西省电力公司经济技术研究院高级工程师，主要研究方向为电力通信。" ]
- 基金信息：国家自然科学基金资助项目;The National Natural Science Foundation of China(60672132);国家自然科学基金资助项目;The National Natural Science Foundation of China(60872149)
DOI：10.11959/j.issn.1000-0801.2015306
中图分类号：-
网络出版日期：2015-11，
纸质出版日期：2015-11-20
- 稿件说明：
移动端阅览
李映雪, 雷静, 钟士元, 等. 认知无线网络中基于特征向量的协方差盲检测方法[J]. 电信科学, 2015,31(11):98-102.
Yingxue Li, Jing Lei, Shiyuan Zhong, et al. Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network[J]. Telecommunications science, 2015, 31(11): 98-102.
李映雪, 雷静, 钟士元, 等. 认知无线网络中基于特征向量的协方差盲检测方法[J]. 电信科学, 2015,31(11):98-102. DOI： 10.11959/j.issn.1000-0801.2015306.
Yingxue Li, Jing Lei, Shiyuan Zhong, et al. Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network[J]. Telecommunications science, 2015, 31(11): 98-102. DOI： 10.11959/j.issn.1000-0801.2015306.
摘要
传统的协方差检测算法需要信道条件信息和多个认知节点参与。利用主用户信号与噪声信号协方差矩阵相关性的差异，提出了一种基于特征向量的协方差盲检测算法，推导出了所提算法的虚警概率和门限值的闭合表达式。该算法仅需要2个认知节点，不需要任何先验信息，对不确定噪声有很强的适应能力。仿真结果表明，所提算法性能优于其他协方差盲检测算法。
Abstract
As the blind detection algorithm has the shortcoming that they need information about the channel and more than two cognitive users to detect the primary user
a new blind detection algorithm based on eigenvector using the difference of correlation between the primary user signal and noise signal covariance matrix was presented
and a closed expression was derived for the probability of false alarm and threshold.The proposed method overcomes the noise uncertainty problem only with two cognitive relays and performs well without information about the channel
primary user and noise.Numerical simulations show that the new detector performs better than other detectors.
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references
Ma J , Zhao G D , Li Y . Soft combination and detection for cooperative spectrum sensing in cognitive radio networks . IEEE T Wirel Commun , 2008 , 7 （ 11 ）: 4502 ～ 4507
Quan Z , Cui S G , Sayed A H . Optimal linear cooperation for spectrum sensing in cognitive radio networks . IEEE J-Stsp , 2008 , 2 （ 1 ）: 28 ～ 40
Zhao Y X , Song M , Xin C S . A weighted cooperative spectrum sensing framework for infrastructure-based cognitive radio networks . Comput Commun , 2011 , 34 （ 12 ）: 1510 ～ 1517
Lim T J , Zhang R , Liang Y C , et al . GLRT-based spectrum sensing for cognitive radio . Proceedings of 2008 IEEE Global Telecommunications Conference , LA,USA , 2008
Zeng Y H , Liang Y C , Hoang A T , et al . A review on spectrum sensing for cognitive radio:challenges and solutions . Eurasip J Adv Sig Pr , 2010 ,（ 2 ）
Sharma R K , Wallace J W . Correlation-based sensing for cognitive radio networks:bounds and experimental assessment . IEEE Sensors Journal , 2011 , 11 （ 3 ）: 657 ～ 666
Yang X , Lei K J , Peng S L , et al . Blind detection for primary user based on the sample covariance matrix in cognitive radio . IEEE Commun Lett , 2011 , 15 （ 1 ）: 40 ～ 42
Zeng Y H , Liang Y C . Spectrum-sensing algorithms for cognitive radio based on statistical covariances . IEEE T Veh Technol , 2009 , 58 （ 4 ）: 1804 ～ 1815
Zeng Y H , Liang Y C . Maximum-minimum eigenvalue detection for cognitive radio . Proceedings of 2007 IEEE 18th International Symposium on Personal,Indoor and Mobile Radio Communications , Athens,Greece , 2007 : 403 ～ 407
Zhang W S , Abreu G , Inamori M , et al . Spectrum sensing algorithms via finite random matrices . IEEE T Commun , 2012 , 60 （ 1 ）: 164 ～ 175
Bianchi P , Najim J , Maida M , et al . Performance analysis of some eigen-based hypothesis tests for collaborative sensing . Proceedings of 2009 IEEE/Sp 15th Workshop on Statistical Signal Processing , 2009 （ 1～2 ）: 5 ～ 8
Zhang P , Qiu R , Guo N . Demonstration of spectrum sensing with blindly learned features . IEEE Commun Lett , 2011 , 15 （ 5 ）: 548 ～ 550
Atapattu S , Tellambura C , Jiang H . Energy detection based cooperative spectrum sensing in cognitive radio networks . IEEE T Wirel Commun , 2011 , 10 （ 4 ）: 1232 ～ 1241
Penna F , Garello R , Spirito M A . Cooperative spectrum sensing based on the limiting eigenvalue ratio distribution in wishart matrices . IEEE Commun Lett , 2009 , 13 （ 7 ）: 507 ～ 509
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