计算机技术与发展Issue(3)：53-55,60,4.DOI:10.3969/j.issn.1673-629X.2013.03.014
一种基于信任度的自适应合作频谱感知方法
A Credibility-based Adaptive Cooperative Spectrum Sensing Method
摘要
Abstract
Owing to the non-uniform feature of physical distribution of users in the cognitive network,the distance and channel condition between each cognitive user and the same primary user are quite different,resulting in different levels of detection reliability among differ-ent users. Traditional hard fusion algorithms tend to ignore the difference of detection reliability,equally treat all local decisions,making the cooperative detection performance beyond optimal. To solve this problem,present an improved cooperative spectrum sensing method which is based on K-rank hard judgment. In implementing the fusion algorithm,the fusion center introduces credibility to differentiate the way to treat different cognitive user's local judgment,adopts iterative method to update credibility based on the accuracy of the user's par-tial judgment relative to the total judgment,and timely adjusts the global decision threshold. The algorithm is simple and effective and low overhead is introduced. The experimental results show that compared with the traditional K rank hard decision algorithm,the improved al-gorithm achieves better cooperation detection performance.关键词
信任度/自适应/硬判决/合作感知Key words
credibility/adaptability/hard decision/cooperative sensing分类
信息技术与安全科学引用本文复制引用
王雪梅,张登银,成卫青..一种基于信任度的自适应合作频谱感知方法[J].计算机技术与发展,2013,(3):53-55,60,4.基金项目
国家自然科学基金资助项目(61071093) （61071093）
