基于证据理论的协同频谱感知算法

Cooperative spectrum sensing algorithm based on dempster-shafer theory in cognitive radio networks

针对认知无线电系统中的有效检测授权用户需求,研究了中心节点未知先验信息时的协同频谱感知问题。为了在中心节点未知先验信息的条件下实现对授权用户的有效检测,基于证据理论,对认知用户的本地感知结果提取证据,在中心节点进行融合并判决,提出了一种新的协同频谱感知算法。仿真表明,该算法能够在中心节点未知先验信息情况下,获得很好的频谱感知性能,在先验信息和感知性能之间取得了很好的折中。

To meet the communications needs between licensed users and secondary users in cognitive radio system, cooperative spectrum sensing must be taken into account. In order to efficiently detect the licensed users under prior knowledge constrains in the fusion center, a novel cooperative spectrum sensing algorithm based on Dempster-Shafer theory was proposed. In this novel algorithm, the credibility and uncertainty were calculated based on the local sensing result of cognitive radios. The simulation results show that the performance of the novel algorithm is better than energy fusion method, and that if cognitive radio gets more prior knowledge, the performance of the novel algorithm is the same as that of the optimal linear cooperative algorithm.