摘要
针对合作频谱感知模型,分析了集中式频谱感知的基本原理,并对融合中心的硬合并算法进行了研究.讨论了在先验概率已知时,K秩融合准则中K的各种取值对系统检测概率、虚警概率、漏检概率的影响以及合作用户节点数目与错误概率之间的变化关系.仿真结果表明,在加性高斯白噪声环境下,感知节点规模较小,在大约一半的节点参与合作时,K秩融合准则具有较好的感知效率.
Spectrum sensing is a core technology in the cognitive radio field, and sensing the spectrum holes are the basic insurance for the secondary users. Aiming at the cooperating spectrum sensing model,the article researchs the principle of collective spectrum sensing and the hard fusion algorithm of fusion center. When the prior probability is known, the influence is discussed about the detection probability, false probability and miss probability when the change of K value. And this article analyzes the relation between SNR and detection probability in different K. The simulation shows that K-rank fusion criterion has good sensing efficiency within the small-scale of sensing nodes and about half of the nodes participate in the cooperation under additive white Gaussian noise surrounding.
作者
陈春梅
CHEN Chun-mei(Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621900, China School of Information Engineering,Southwest University of Science and Technology,Mianyang 621000,China)
出处
《东北师大学报（自然科学版）》
CAS
CSCD
北大核心
2017年第1期78-82,共5页
Journal of Northeast Normal University(Natural Science Edition)
基金
国家自然科学基金资助项目(61379005)
关键词
认知无线电
频谱感知
合作
检测概率
K秩融合准则
cognitive radio
spectrum sensing
cooperate
detection probability
K-rank fusion criterion
