基于信任度加权的合作频谱感知算法

为进一步提高认知无线电频谱感知性能,提出一种基于信任度加权的软合并感知算法TWCS(trustweighted cooperation sensing)。该算法首先定义一个模糊型指数信任度函数,对两认知用户间的信任程度进行量化处理,并通过信任度矩阵度量各认知用户测得数据的综合信任程度,以合理分配测得数据在融合过程中所占权重。仿真结果表明,与最大比合并和信噪比加权合并等算法相比,TWCS算法不仅具有更强的可靠性,而且使系统整体感知性能得到了较大提高。

Weighted cooperative spectrum sensing algorithm based on trust

To further improve cognitive radio spectrum sensing performance, this paper proposed the weighted cooperative spectrum sensing algorithm based on the trust TWCS. It defined an index trust function of fuzzy firstly to quantize the level of trust between the two cognitive users, then measured the comprehensive trust level of data each cognitive user sensed using trust matrix, in which weights of data sensed in the fusion process were distributed reasonably. The simulation results show that the TWCS algorithm has the more strong reliability and can greatly improve the system sensing performance compared with the maximum ratio combining method and SNR weighted combinations algorithm.