基于改进D-S证据理论的认知无线电频谱感知算法  

Cognitive Radio Spectrum Sensing Algorithm Based on Improved D-S Evidence Theory

作　　者：王苗苗[1] 李世银[1] 肖淑艳[1] 孙科建[1] 崔磊[1] 

机构地区：[1]中国矿业大学信息与电气工程学院,江苏徐州221116

出　　处：《电讯技术》2012年第8期1303-1307,共5页Telecommunication Engineering

基　　金：江苏省产学研联合创新资金项目(BY2009114);徐州市科技计划项目(XX10A001)~~

摘　　要：在把D-S证据理论应用于多节点的频谱感知数据融合时,如果数据冲突较大则融合结果并不理想。为了解决上述问题,对D-S证据理论的证据组合规则进行了改进,给出了一个在数据冲突大时也适用的数据融合公式,并把这种改进的数据融合算法应用到多节点协作频谱感知中。MAT-LAB仿真测试与结果分析表明改进算法提高了频谱感知性能。When the data fusion algorithm based on D-S evidence theory is used in the integration of data collect- ed by multiple nodes, the fusion effect of the D-S evidence theory is not good if the data is conflict seriously. In order to solve the problem,the evidence combination rule of D-S evidence theory is improved and a new data fu- sion formula which is also applicable when the data is conflict seriously is provided. The improved algorithm is applied to the cooperation of spectrum sensing algorithm. MATLAB simulation and analysis demonstrate the spec- trum sensing performance is improved by using the proposed algorithm.

关 键 词：认知无线电 频谱感知 改进D-S证据理论 数据融合 

分 类 号：TN92[电子电信—通信与信息系统]