中文摘要：

为适应无线信道的动态性,提出了一种基于融合规则的自适应分簇协作频谱感知算法。首先,根据融合中心应用的融合规则推导分簇协作时能满足系统检测性能的信道门限值。然后,由簇首检测当前信道状态,当信道条件好于分簇门限值时,仅簇首进行本地检测,并上传检测结果至数据融合中心,实现分簇协作;否则,由本簇节点进行全节点协作检测,并分别上传检测结果至数据融合中心,或选择退出协作检测,仅接收融合中心的判决信息。最终,由数据融合中心进行融合计算,并做出系统全局判决。仿真结果显示,采用OR融合方法时,所提算法能极大地提高控制信道资源效率;采用AND融合方法时,算法能将系统有效工作区间扩大30%左右,且能选择信道状态好的簇进行协作频谱检测。

英文摘要：

A fusion rule-based adaptive clustering cooperative spectrum sensing algorithm was proposed for meeting the dynamic wireless channel. Firstly, according to the integration rules of the fusion center, the SNR thresholds of clustering cooperative spectrum sensing model was deduced to satisfy the basic requirements of cognitive radio system. Then, the cluster heads detect the current channel state. They perform the cluster spectrum detection when the instantaneous SNR are better than their SNR thresholds. And they transmit the results to the fusion center for achieving cluster collaboration. Otherwise, all of the CR nodes would perform the spectrum detection in the cluster and send their results to the fusion center respectively. Or they would not participate to detect the spectrum holes and only receive the decision from the fusion center. Finally, the global decision will be made in the fusion center through fusing the detection results of the cooperative nodes. The simulation results show that the proposed algorithm can greatly improve the reports channel resources efficiency under the OR rule, while under the AND rule, the algorithm can expand the spectrum sensing system work range of about 30%, and can select the cluster nodes with high SNR to participate in cooperative spectrum sensing algorithm.