计算机应用研究Issue(1)：171-173,193,4.DOI:10.3969/j.issn.1001-3695.2016.01.039
一种基于改进加权序贯检测的协作频谱感知算法
Cooperative spectrum sensing algorithm based on improved weighted sequential probability ratio test
摘要
Abstract
The sequential detection can improve the accuracy of cooperative spectrum sensing,but when the spectrum sensing data falsification node exists in the environment,the system performance will decline dramatically.In order to solve the prob-lems above,this paper proposed a spectrum sensing fusion algorithm that based on weighted sequential probability ratio test which optimized the system performance by giving reputation weights to each node and set a reasonable reputation count scheme to distinguish SSDF nodes.Simulation results show that the proposed algorithm reduce the influence brought by SSDF nodes, improve detection accuracy and stability of the system.关键词
认知无线电/加权序贯检测/协作频谱感知/频谱感知数据窜改Key words
cognitive radio/weighted sequential probability ratio test(WSPRT)/cooperative spectrum sensing/spectrum sensing data falsification(SSDF)分类
信息技术与安全科学引用本文复制引用
李玉峰,黄柳舟..一种基于改进加权序贯检测的协作频谱感知算法[J].计算机应用研究,2016,(1):171-173,193,4.基金项目
国家自然科学基金资助项目（61171081）；航空科学基金资助项目（20122654）；江苏省博士后基金资助项目 （）
