基于SNR比较的认知无线电协作频谱检测  

Cooperative Spectrum Sensing Based on SNR Comparison for Cognitive Radio

作　　者：郑轶[1,2] 谢显中[2] 杨黎丽[1,2] 

机构地区：[1]中国电子科技集团公司第三十六研究所通信系统信息控制技术国防重点实验室,浙江嘉兴314033 [2]重庆邮电大学个人通信研究所/计算机网络与通信信息产业部重点实验室,重庆400065

出　　处：《电讯技术》2009年第8期13-17,共5页Telecommunication Engineering

基　　金：国家自然科学基金资助项目(60872037);通信系统信息控制技术国防重点实验室基金项目(E2006-09)

摘　　要：协作频谱检测是认知无线电中的一项关键技术,其检测性能取决于感知节点的本地频谱检测结果的可靠性,而目前已有的方案中对此却很少考虑。对此,认为不同的认知节点信噪比(SNR)导致了各节点本地检测结果的可靠性不同,故在此基础上提出了一种基于融合中心进行SNR比较的认知无线电协作频谱检测算法。在该算法中各认知节点将本地的判决结果和估计的SNR同时发送到融合中心,然后在融合中心对SNR进行比较,按照文中设计的规则来选取有较好SNR的认知节点参与判决融合。数值分析和计算机仿真表明,该方法能有效提高检测概率,并减少参与判决融合的节点数量。Cooperative spectrum sensing is a key technology in cognitive radio（CR）,whose performance depends on the reliability of local spectrum sensing result of cognitive nodes. However, there is a lack of considering it in current schemes. In this paper, the authors think that different cognitive nodes＇ SNR leads to different reliability of local sensing results. Therefore, a cooperative spectrum sensing algorithm based on SNR comparison in fusion center is proposed. Each CR node transmits local detection result and estimates SNR to fusion center in this algorithm, and then the SNR comparison is operated in fusion center. Finally ,according to designed rule, the CR node with better SNR is selected to decision fusion. Numerical analysis and computer simulation suggest that the scheme greatly increases the probability of detection and reduces the node number to participate in decision fusion.

关 键 词：认知无线电 协作频谱检测 融合中心 信噪比比较 

分 类 号：TN929.5[电子电信—通信与信息系统]