基于信任度两次分簇过滤的协作感知算法  

Cooperative Sensing Algorithm of Twice Clustering Filter Based on Reliability

作　　者：罗钧[1] 何庆[1] 

机构地区：[1]贵州大学,贵州贵阳550025

出　　处：《电视技术》2015年第19期51-53,共3页Video Engineering

基　　金：贵州省科技厅基金项目(黔科合J字20122171);贵州大学博士基金项目(贵大人基合字2010010)

摘　　要：为了有效解决授权频段在恶劣环境下利用率低的问题,根据一种新信任度系数提取用可靠性较好的采样值参与本地单门限能量检测,并通过新信任度系数分簇获取可靠性较好的本地感知节点对本地判决结果进行量化分类,簇头将本地认知节点量化结果、簇内平均权重系数及个数传至融合中心参与协作判决,给出一种新的感知算法。最后,实验仿真表明,该算法可以有效消除低可靠性认知节点参与协同判决,有效地缩减感知过程数据传输开销,提高系统感知性能。In order to effectively solve the problem of the licensed spectrum utilization rate in the harsh environment, a cooperative sensing algorithm is provided, which pick up the better reliability sample values participation in the local single threshold energy detection based on a new trust factor and the local verdicts of the better reliability is gotten to quantify classification at cluster cognitive nodes, then quantified results, the number and the average weight coefficients are transmitted to the fusion center to participate in a collaborative decision by cluster head. The simulation results show that the algorithm can effectively eliminate the low trust cognitive nodes and effectively reduce the transmission expense of the data transmission in the perception process and enhance system perception performance.

关 键 词：认知无线电 协同频谱感知 过滤 可信度系数 

分 类 号：TN925.5[电子电信—通信与信息系统]