The lack of spectrum resources restricts the development of wireless communication applications. In order to solve the problems of low spectrum utilization and channel congestion caused by the static division of spectrum resource, this paper proposes an optimal linear weighted cooperative spectrum sensing for clustered-based cognitive radio networks. In this scheme, different weight values will be assigned for cooperative nodes according to the SNR of cognitive users and the historical sensing accuracy. In addition, the cognitive users can be clustered, and the users with the better channel characteristics will be selected as cluster heads for gathering the local sensing information. Simulation results show that the proposed scheme can obtain better sensing performance, improve the detection probability and reduce the error probability.

频谱资源的缺乏限制了无线通信应用的发展。为了解决频谱资源静态划分导致频谱利用率低和信道拥塞的问题，提出了一种基于聚类的认知无线电网络的最优线性加权协作频谱感知技术。在此方案中，将根据认知用户的SNR和历史感测精度为协作节点分配不同的权重值。另外，可以将认知用户聚类，并且将具有较好信道特性的用户选为聚类头，以收集本地感测信息。仿真结果表明，该方案能获得较好的检测性能，提高检测概率，降低错误概率。