摘要
针对基于D-S证据理论的认知无线电频谱感知算法在认知节点的感知信息存在较大冲突时会产生与实际情况相悖结果的问题,提出了一种基于改进D-S证据理论的认知无线电频谱感知算法。改进算法采用一种新的加权平均方法平均各个证据,比算术平均法更多地降低了异常证据的影响,同时通过计算证据到平均证据的距离来计算证据权值,解决了权值计算复杂度问题。实验结果表明,在认知节点的感知信息存在严重冲突时,改进算法可有效提高认知无线电频谱感知系统的感知性能。
In view of problem that spectrum sensing algorithm of cognitive radio based on D-S evidence theory will due to an inconsistent result when sensing information of cognitive nodes has serious conflict,the paper proposed a spectrum sensing algorithm of cognitive radio based on improved D-S evidence theory.The improved algorithm uses a new weighted average method to average each evidence to further reduce influence of abnormal evidences compared with arithmetic average method.Meanwhile,the improved algorithm calculates weight of evidence through calculating distance from evidence to average evidence,which can solve complexity problem of weight calculation.The experiment result shows that the improved algorithm can effectively improve sensing performance of spectrum sensing system of cognitive radio when sensing information of cognitive nodes has serious conflict.
出处
《工矿自动化》
北大核心
2013年第8期42-46,共5页
Journal Of Mine Automation
基金
江苏省产学研联合创新基金项目(BY2009114)
徐州市科技计划项目(XX10A001)
