基于异步分布式检测的协作频谱感知研究

Cooperative Spectrum Sensing Based on Asynchronous Distributed Detection

构建了一种基于异步分布式检测的协作频谱感知(CSS)模型,推导了此模型在贝叶斯准则下的最优融合方案,并提出了一种不需要主用户先验信息的次优方案——最大后验概率(MAP)检测-K/N规则融合方案。分别对采用这两种方案时,协作频谱检测的虚警概率和检测(漏检)概率性能进行了理论分析和仿真,仿真结果显示两种方案都能有效提高频谱感知的可靠性,而前者性能稍好。

We propose a cooperative spectrum sensing（CSS） model based on asynchronous distributed detection.An optimal fusion rule of it is derived,and a suboptimal scheme,maximum posteriori probability（MAP） detection-K/N fusion scheme is developed,which does not require prior knowledge of primary user.The probabilities of false alarm and（miss） detection by using these two schemes respectively are theoretically analyzed and then simulated.Simulation results show that both of them could improve spectrum sensing reliability effectively,and the former＇s performance is slightly better.