基于D—S理论的双门限频谱感知算法研究  

Research of double-threshold spectrum sensing algorithm based on D-S theory

作　　者：王梦东 陈响[2] 管钰[2] 肖淑艳[2] 

机构地区：[1]西山煤电(集团)有限责任公司技术中心,山西太原030000 [2]中国矿业大学信息与电气工程学院,江苏徐州221008

出　　处：《工矿自动化》2013年第12期82-85,共4页Journal Of Mine Automation

基　　金：江苏省"六大人才高峰"高层次人才项目(DZXX-048)

摘　　要：针对传统双门限频谱感知算法不能充分利用2个门限之间感知用户信息的问题,提出了一种基于D-S理论的双门限频谱感知算法。当感知用户接收到的信号能量介于2个门限之间时,该算法不直接给出判决结果,而是进行本地判决,即采用D-S理论进行数据融合。仿真结果表明,与传统双门限频谱感知算法相比,基于D-S理论的双门限频谱感知算法的检测概率较高,提高了整体的频谱感知性能。In view of problem that traditional double-threshold spectrum sensing algorithm cannot make full use of information of sensing users between two thresholds, the paper proposed a double-threshold spectrum sensing algorithm based on D-S theory. When signal energy received by the sensing users lies between the two thresholds, the algorithm does not give judging result directly but makes local judgment, namely it uses D-S theory to make data fusion. Simulation result shows that detection probability of double-threshold spectrum sensing algorithm based on D-S theory is higher than one of the traditional double-threshold spectrum sensing algorithm, which improves performance of spectrum sensing.

关 键 词：认知无线电 D—S理论 双门限频谱感知 可信度 

分 类 号：TD655[矿业工程—矿山机电]