一种基于分簇式双门限合作频谱检测算法  

Double Threshold Cooperative Spectrum Sensing Algorithm Based on Clustering

作　　者：程晖[1] 肖除病[1] 朱星宇[1] 

机构地区：[1]武汉大学物理科学与技术学院,湖北武汉430072

出　　处：《仪表技术与传感器》2013年第3期81-84,共4页Instrument Technique and Sensor

基　　金：国家重点基础研究发展计划课题;国家科技支撑计划项目(2009CB320401)

摘　　要：认知无线电作为一种未来解决频谱匮乏技术,获得了广泛的研究。频谱检测技术是认知无线电技术中关键技术之一。针对目前单点检测正确率低下的问题,结合目前深入研究的合作频谱检测技术,提出一种新的基于分簇式双门限的合作频谱检测算法。该检测算法通过设立双门限进行检测,并根据不同簇的检测能力不同引入信誉值进行二次数据融合。仿真结果表明该算法能够有效降低误警率和漏检率,提高了整体的检测性能。Cognitive radio as a future technology used for solving the problem of increasingly scarce spectrum resource has been widely researched.The spectrum sensing technology is one of the most important technologies.In view of the current single point low accuracy detection,this paper combined with the current cooperative spectrum sensing technology,and presented a new double threshold detection algorithm based on clustering.The algorithm set up double threshold,and the weight coefficient was introduced according to the different detection ability of each cluster.Simulation results demonstrate that the proposed algorithm can effectively reduce false alarm rate and miss detection rate,and improve overall detection performance.

关 键 词：认知无线电 分簇 双门限 合作频谱检测 检测性能 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]