基于多融合准则的双门限协作频谱感知算法

Double-threshold cooperative spectrum sensing algorithm based on multi-fusion rule

认知无线网络中,现有协作频谱感知技术未考虑根据感知用户的可靠性程度,对其判决结果采用不同的融合策略。针对上述问题,提出了一种新的基于多融合准则的双门限协作频谱感知算法。该算法以双门限协作检测为基础,根据感知用户判决结果的可靠程度不同,采用AND准则和OR准则相结合的判决方法,对参与感知的用户判决结果进行分类融合。理论分析和仿真结果表明,该算法与协作频谱感知算法相比,能够显著改善认知无线网络的频谱感知性能。

In the research of cognitive radio networks,the usual spectrum sensing techniques do not consider fusing the judgment results respectively according to different cognitive users.To solve this problem,a double-threshold cooperative spectrum sensing algorithm based on multi-fusion rule was proposed.Using the combination of AND-rule and OR-rule according to the different reliability of the judgment results of the cognitive users,all the judgmental results were fused respectively.The theoretical analysis and simulation results show that the proposed algorithm significantly improves the spectrum sensing performance for the cognitive radio networks as opposed to the conventional methods.