基于自适应决策融合的合作频谱感知方法

频谱感知是认知无线电(CR)的关键技术之一。在该机制中,对主用户(PU)信号的可靠检测是实现CR的前提。提出一种基于自适应决策融合的合作频谱感知算法用于频谱感知,该算法通过估计PU的先验概率与各个CR用户(SU)的漏检及虚警概率,然后运用Chair-Varshney准则对局部判决进行决策融合以得到全局判决。仿真结果表明,采用该方案的全局虚警和漏检概率明显低于单个SU,可有效提高CR系统频谱感知的可靠性。

A scheme of cooperative spectrum sensing based on adaptive decision fusion algorithm

Spectrum sensing is one of the core technologies for Cognitive Radios(CR),and the reliable detection of the signals of Primary User(PU) is the precondition for implementing the CR systems.This paper proposes an cooperative spectrum sensing scheme based on the adaptive decision fusion algorithm for spectrum sensing,which can estimate the PU prior probability and the miss detection and false alarm probabilities of various CR users(Secondary User,SU),and make the local decision according to Chair-Varshney rule so that the decisions fusion can be performed for the global decision.Simulation results show that the false alarm and miss detection probabilities made by the proposed algorithm is significantly lower than that of the single SU,and the scheme can effectively improve the reliability of spectrum sensing in CR system.