基于用户集合势估计的认知无线电合作频谱感知

频谱感知技术是认知无线电系统的基本功能，是实现已授权频段的次级动态接入和共享的前提。提出基于用户集合势估计的合作频谱感知方案，旨在通过GEEF（gerschgorin exponentially embedded families），SPEEF（sam-pled power exponentially embedded families）等算法估计出用户的集合势，即适合参与合作频谱感知的最优用户个数，再从全部合作用户中筛选出相应的频谱观测数据生成全局检测统计量，通过与判决门限进行对比，最终对授权用户状态做出判决。理论分析与实验结果表明，提出的方案能够有效地提高频谱感知的性能。

User set cardinality estimation based cooperative spectrum sensing in cognitive radio

Spectrum sensing is a basic function of cognitive radio systems,and the premise on which dynamic access to li-censed spectrum and spectrum sharing are realized.In this paper,cooperative spectrum sensing scheme based on user set cardinality estimation in cognitive radio network is proposed.The scheme aims to estimate the set cardinality,which is opti-mal user number,fitting for participating in cooperative spectrum sensing through GEEF and SPEEF algorithms,then select corresponding spectral observation data to take part in generating final global test statistic,and finally make decisions about the existence of primary users by comparing with the decision threshold.Theoretical analysis and experimental results verify that the proposed algorithm can effectively improve the performance of spectrum sensing.