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中文摘要：
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。
英文摘要：
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.
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