基于信噪比系数的双阈值分布式协作算法的研究

Research on distributed cooperative algorithm based on signal-to-noise ratio coefficient with double thresholds

为了解决低信噪比时,传统能量检测算法因判决门限固定不变而导致检测性能较差的问题,研究了一种可随信噪比系数变化的双阈值协作能量检测算法。该算法的门限值是根据信噪比系数自适应调整,同时考虑到集中式协作的方式由于过度依赖融合中心的问题而不能在特殊场合使用,因此采用分布式协作的方法将每个认知用户检测到的信息能量值与动态门限进行比较。最后通过与两种传统算法进行对比分析,验证了该算法具有更好的检测性能。

In order to solve the problem that the traditional energy detection algorithm has poor detection performance due to the fixed decision threshold when the signal-to-noise ratio is low,this paper studies a dual-threshold cooperative energy detection algorithm that can change with the signal-to-noise ratio coefficient.The threshold value of the algorithm is adaptively adjusted according to the signal-to-noise ratio coefficient.At the same time,considering that the centralized cooperation is incompetent due to the problem of over-reliance on the fusion center,the distributed cooperation method is used to integrate the information detected by each cognitive user.The energy value is compared with a dynamic threshold.Finally,it is proved that the algorithm has better detection performance comparing with the two traditional algorithms.