基于改进DS证据理论的加权协作频谱检测算法  

Weighted cooperative spectrum sensing algorithm based on improved dempster shafer evidence theory

作　　者：王洪奎 龚晓峰[1] WANG Hong-kui;GONG Xiao-feng(College of Electrical Engineering and Information Technology,Sichuan University,Chengdu 610065,China)

机构地区：[1]四川大学电气信息学院,四川成都610065

出　　处：《电子设计工程》2018年第21期26-29,共4页Electronic Design Engineering

摘　　要：文中基于各认知用户的差异性,提出一种基于改进D-S证据理论的加权协作频谱检测算法。在能量检测的基础上,充分考虑各个认知用户之间的差异性,并根据各认知用户的检测统计量的方差和均值来给出各个参与数据融合的可信度权重。最后,使用改进D-S证据理论进行多数据源的证据融合,减小多数据源带来的证据冲突,且给出最终的判断结果。仿真结果表明,该方法与经典D-S证据理论检测算法相比,能够在考虑各认知用户差异性的同时有效提高检测效率。A weighted cooperative spectrum sensing algorithm based on improved D-S evidence theory is proposed Based on energy detection,considering the differences between the cognitive users,according to the variance and the mean test statistic of the cognitive users to give each participating credibility weight data fusion,finally using the improved D-S evidence theory for multiple data sources of evidence fusion,evidence conflict caused multiple data sources,given the final the judgment results,simulation results show that this method compared with classical D-S evidence theory algorithm,theprobability of detection increases 5%.

关 键 词：认知无线电 协作频谱检测 DS证据理论 合成规则 

分 类 号：TN911[电子电信—通信与信息系统]