基于信誉度的频谱感知数据融合算法

Spectrum Sensing Data-Fusion Algorithm based on Reputation

频谱感知数据融合算法对认知无线网络性能起到重要作用,目前各频谱感知算法在检测恶意节点及适应认知用户环境变化上的性能有待加强,为此,提出了一种基于认知用户过往判决记录的改进加权序贯概率比检测算法。该方法通过融合中心记录认知用户过往判决结果的符合次数,改变其信誉度,从而得到该认知用户判决结果在融合结果中所占有的加权,最终得到更为理想的判决结果。

Spectrum sensing data-fusion algorithm is the key component of cognitive ratio network.For a better detection of the malicious secondary user and a better adaptation to the environment changes,an improved weighted sequential probability ratio test algorithm based on the record of the secondary user’s test result is proposed.In combination of the record with the corresponding user’s reputation,a new weight is gained,and it would be used for calculation of the final sensing decision in the fusion center.