基于权值分簇的多门限联合频谱检测算法

Multi-threshold Cooperative Spectrum Detection Algorithm Based on Weight Clustering

联合频谱检测算法在检测授权用户频谱时,认知用户数量的增加会使有限的控制信道带宽成为制约算法实际应用的瓶颈。针对该问题,提出一种多门限联合频谱检测算法。在建立频谱检测模型的基础上,根据应用偏重要求的不同对认知用户进行权值分簇,从而避免控制信道阻塞。理论分析和Matlab仿真结果表明,在瑞利信道下,该算法可有效减小网络时延,提高系统检测概率。

Cooperative spectrum sensing algorithm requires a control channel when detecting the spectrum of primary user.However,the limitation of control channel bandwidth is the bottleneck of application of cooperative spectrum sensing when the number of cognitive users becomes very large.In order to solve this problem,this paper proposes a multi-threshold cooperative spectrum detection algorithm.Based on the establishment of a spectrum detection model,cognitive users are clustered with different application weight requirements to avoid congestion in the control channel.Results of theoretical analysis and simulation on the Matlab platform show that,the proposed algorithm can reduce the network delay and improve the detection probability of the system in Rayleigh channels.