高技术通讯2016，Vol.26Issue(7)：650-656,7.DOI:10.3772/j.issn.1002-0470.2016.07.005
基于卡方检验的多天线认知无线网络协作频谱感知算法
Cooperative spectrum sensing using Chi-square test for multi-antenna cognitive radio
摘要
Abstract
The spectrum sensing of diversity-based multiple antenna cognitive radio systems was studied. To solve the problem that the performance of the existing cooperative spectrum sensing algorithm based on covariance matrix de-grades seriously due to the channel independence, a new cooperative spectrum sensing algorithm based on Chi-square goodness of fit test for multi-antenna cognitive radio systems was presented. The algorithm transforms the spectrum sensing problem into a multinomial distribution test problem, and uses the Chi-square goodness of fit test to examine a spectrum if idle so as to realize spectrum sensing. The theoretical analysis and simulation show that the performance of the proposed algorithm is robust to the antenna correlation and noise uncertainty.关键词
认知无线电/协作频谱感知/卡方拟合优度检验/分集增益Key words
cognitive radio/cooperative spectrum sensing/Chi-square goodness of fit test/diversity gain引用本文复制引用
徐偲,卢光跃,叶迎晖,弥寅..基于卡方检验的多天线认知无线网络协作频谱感知算法[J].高技术通讯,2016,26(7):650-656,7.基金项目
国家自然科学基金(61271276,61301091)和863计划(014AA01A705)资助项目。 （61271276,61301091）
