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在认知无线电网络中,多径衰落、阴影效应、部分认知用户的控制信道传输效果差等因素对系统的检测能力有着很大的负面影响。为了提高网络的感知性能,减少认知用户对主用户的干扰,文中提出了一种基于簇结构的加权合作频谱感知技术。在分簇的认知无线电网络中,首先在簇内采取动态赋值的加权合作频谱感知技术,簇头将判决结果发送到融合中心进行二次数据融合,进而得到整个网络的全局判决结果。仿真结果表明,采用文中提出的频谱感知技术可以提高对主用户的检测概率。
In cognitive radio networks, factors such as multipath fading, shadowing and poor control channel transmission of some cognitive users have a great negative impact on the detection capability of the system. In order to improve the perceived performance of the network and reduce the interference of cognitive users to the primary users, a weighted cooperative spectrum sensing technology based on cluster structure is proposed in this paper. In the clustered cognitive radio networks, the weighted cooperative spectrum sensing technology of dynamic assignment is firstly adopted in the cluster. The cluster head sends the decision results to the fusion center for secondary data fusion, and then obtains the global decision result of the whole network. Simulation results show that using the proposed spectrum sensing technology can improve the detection probability of the main user.