协作频谱感知中的可信双门限硬判决融合算法

基于DS证据理论的双门限协作频谱感知新方法孙飞;胡钧【摘要】An improved cooperative spectrum sensing scheme in cognitive radio networks is proposed,which combines the fusion technol-ogy based on Dempster-Shafer evidence theory with the advantage of double threshold decision. In the local sensing period, double threshold decision is introduced to remove the cognitive users with low reliability and let the cognitive users with high reliability send the trusted functionvalue,decreasing the data sending to the fusion center,so as to reduce report channel bandwidth of cooperation. In the fu-sion period,just the highly credible sensing results are fused at the fusion center using the Dempster-Shafer theory,which could reduce the calculation of fusion center. The simulation results show that the novel scheme can keep high detection performance and reduce band-width of cooperation with a low calculation of cooperative system.%文中提出了一种认知无线电协作频谱感知改进方法。

改进双门限能量检测分簇协作频谱感知算法王昊;孔令荣;王庆宝【摘要】针对传统频谱感知算法在低信噪比环境下检测概率较低的问题,提出改进双门限能量检测分簇协作频谱感知算法.算法将感知节点分簇,簇间信息采用OR准则硬融合,簇内双门限外节点发送1 bit判决结果进行硬融合,双门限内节点发送能量值和信噪比值进行加权软融合.加权软融合阶段构造检测概率与节点权重系数函数,利用压缩因子粒子群算法选择权重系数进行函数寻优,以最大化检测概率.仿真结果表明,在低信噪比和不同感知用户数目环境下,算法仍具有较高的检测概率.%In order to solve the problem of low detection probability in the traditional spectrum sensing algorithm under low SNR environment,a clustering cooperative spectrum sensing algorithm based on improved double-threshold energy detection was proposed.The algorithm divided the sensing nodes into clusters."OR" rule was used to the information between the clusters for hard fusion.Inner the clusters,to the nodes outside dual-threshold,a 1 bit decision result was transmitted for hard fusion;and to the nodes inside dual-threshold,energy values and SNRs were transmitted to implement weighted soft fusion.The detection probability and the node weight coefficient function were constructed under weighted soft fusion,and particle swarm optimization algorithm with compression factor was used to further optimize the function and maximize the detection probability.The simulation results verified that the algorithm has good detection probability under low SNRs and different number of users.【期刊名称】《电光与控制》【年(卷),期】2018(025)003【总页数】4页(P55-58)【关键词】协作频谱感知;能量检测;分簇;双门限;检测概率;粒子群【作者】王昊;孔令荣;王庆宝【作者单位】南京理工大学泰州科技学院,江苏泰州225300;南京理工大学电子工程与光电技术学院,南京210094;南京理工大学电子工程与光电技术学院,南京210094【正文语种】中文【中图分类】TN9250 引言协作频谱感知[1]可利用多感知节点协同工作获取授权频谱使用情况，具有在隐藏终端、多径衰落、阴影下仍能提供较高检测精度的优点，被证明是一种在不确定环境下极为有效的频谱感知方法。