基于动态阈值的可信度协作频谱感知算法研究

Research on Trust Collaborative Spectrum Perception Algorithm Based on Dynamic Thresholding

在实际通信环境中,因存在多径效应、阴影衰减和恶意用户等因素影响,导致频谱检测性能会受到一定程度的影响,无法达到满意的检测效果。为解决以上问题,文章提出了一种基于动态门限值和可信度的新算法,可以有效消除阴影效应和衰落影响等负面因素对整体检测性能的影响。最后,为验证该文所提出算法的有效性,对文章所提出的算法进行仿真实验分析,同时与K/M算法和DTM算法进行仿真比较分析,仿真结果表明,该文所提出的算法可以较为有效的抵抗恶意用户的能力,以及具有良好的频谱感知效果,算法性能显著优于另外两种传统算法。

In practical communication environments,spectrum detection performance may be affected to a certain extent due to factors such as multipath effects,shadow attenuation,and malicious users,which cannot achieve satisfactory detection results.To address the aforementioned issues,the paper proposes a new algorithm based on dynamic threshold values and credibility,which can effectively eliminate the negative effects of shadow effects and fading on overall dcetection performance.Finally,to verify the effectiveness of the algorithm proposed in the paper,simulation experiments were conducted and compared with the K/M algorithm and DTM algorithm.The simulation results showed that the algorithm proposed in the paper can effectively resist the ability of malicious users and has good spectrum sensing effect.The algorithm performance is significantly better than the other two traditional algorithms.