基于D-S证据理论的加权协作频谱检测算法  

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

作　　者：周亚建[1,2] 刘凯[3] 肖林[3] 

机构地区：[1]北京邮电大学计算机学院,北京100876 [2]电子信息控制重点实验室,四川成都610036 [3]北京航空航天大学电子信息工程学院,北京100191

出　　处：《通信学报》2012年第12期19-24,共6页Journal on Communications

基　　金：国家自然科学基金资助项目(60972077);中央高校基本科研业务费专项资金资助项目(YWF-10-01-A16,2011RC0212);国家科技重大专项基金资助项目(2010ZX03003-003-01);广西无线宽带通信与信号处理重点实验室开放基金资助项目(21106)~~

摘　　要：提出了一种基于D-S证据理论的加权协作频谱检测(DS-WCSS)算法。该算法使用能量检测进行本地检测,利用2种假设检验条件下检验统计量的方差和均值来评估各认知用户可信度的差异性,进而给出各认知用户可信度的权重,最后使用D-S证据理论进行数据融合和判决。仿真结果表明,与基于D-S证据理论和传统硬判决的协作频谱检测算法相比,DS-WCSS可以有效地提高检测性能。A weighted cooperative spectrum sensing algorithm based on D-S evidence theory （DS-WCSS） was proposed. The algorithm took energy detector to perform local spectrum sensing, evaluated the credibility difference of cognitive users according to the means and variances of test statistic in both hypotheses, set credibility weights based on the evaluation of credibility difference, and finally used D-S evidence theory to fuse data and made a decision. Simulation results show that the proposed algorithm has better performance than cooperative spectrum sensing algorithm based on D-S evi- dence theory and traditional hard-decisions.

关 键 词：认知无线电 协作频谱检测 DEMPSTER-SHAFER证据理论 可信度 

分 类 号：TN915.01[电子电信—通信与信息系统]