基于SNR比较的协作频谱感知研究  

Cooperative Spectrum Sensing Research Based on SNR Comparison

作　　者：胡峰[1] 郑紫微[1] 熊欧[1] 

机构地区：[1]宁波大学通信技术研究所,浙江宁波315211

出　　处：《无线电通信技术》2014年第4期77-80,共4页Radio Communications Technology

基　　金：国家科技重大专项基金资助项目(2011ZX03002-004-02);浙江省重点科技创新团队基金资助项目(2012R10009-04);浙江省杰出青年科学基金资助项目(R1110416);教育部高等学校博士学科点专项科研基金资助项目(20113305110002);宁波市科技创新团队基金资助项目(2011B81002)

摘　　要：频谱感知是认知无线电中通过发现可用频率资源提高频谱利用率的关键技术。协作频谱感知能一定程度上消除多径和阴影的影响,为了进一步提高频谱检测性能,提出了一种基于SNR比较的协作频谱感知算法。在此算法中,各个认知用户将各自的本地判决结果和自身的SNR值发送到数据融合中心,通过SNR比较,对各CR用户进行筛选,选出符合算法要求的CR用户参加协作检测,进行数据融合。计算机仿真表明,该算法能有效提高检测性能,并减少判决融合的节点数量。Spectrum sensing is one of the key technologies in cognitive radio,which improves the utilization ratio of spectrum by discovering available frequency resources. Cooperative spectrum sensing can eliminate the multi-path and shadow effects to a certain extent. A cooperative spectrum sensing algorithm based on SNR comparison is proposed, in which each CR user transmits the local decision result and estimated SNR to the data fusion center,and the CR users with SNRs that match the algorithm are selected for deci-sion fusion. Computer simulation results show that this algorithm increases the probability of detection and reduces the node number in decision fusion.

关 键 词：认知无线电 频谱感知 协作检测 SNR比较 

分 类 号：TN92[电子电信—通信与信息系统]