中文说明：频谱感知是认知无线电 （CR） 的核心技术之一，在可靠的信号的检测初级用户 (Pu) 是实施 CR 系统的先决条件。协作频谱感知基于方案本文给出了频谱感知中 CR majorityfusion 算法。这项计划可以估计浦事先概率的漏检和假报警的各种次级用户 （SU） 的概率和本地的决定椅子 Varshney 规则以便可以为全球决定做决策融合。仿真结果表明虚警和漏检概率造成所提出的算法均显著低于该单一的表面，和方案的性能优于协同检测使用传统的决策融合算法。
English Description：
Spectrum sensing is one of the core technologies for cognitive radios (CR), where reliable detection of the signals of primary users (PUs) is precondition for implementing the CR systems. A cooperative spectrum sensing scheme based onan majorityfusion algorithm for spectrum sensing in CR is proposed in this paper. This scheme can estimate the PU prior probability and the miss detection and false alarm probabilities of various secondary users (SU), and make the local decision with the Chair-Varshney rule so that the decisions fusion can be done for the global decision. Simulation results show that the false alarm and miss detection probabilities resulted from the proposed algorithm are significantly lower than those of the single SU, and the performance of the scheme outperforms that of the cooperative detection by using the conve