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作为认知无线电中的关键技术,协作频谱检测首先要解决的问题是协作用户的选择。该文以能量协作检测的AND模型为例,通过对检测函数的性能分析,研究了在认知用户不同接收信噪比条件下的最优协作用户数,并设计了基于信噪比的最优协作用户数搜索算法和快速搜索算法。理论分析和仿真结果表明:在AND协作模型下存在一个最优的协作用户数目,并且在低接收信噪比时,这种部分用户的协作性能优于全局协作,而在高信噪比时两者性能接近。
As the key technology in cognitive radio, the first problem to be solved by cooperative spectrum detection is the choice of collaborative users. Taking the AND model of energy cooperation detection as an example, this paper studies the optimal number of cooperative users under different receiving SNRs by analyzing the performance of detection functions, and designs the optimal SNR based on SNR Collaborative user search algorithm and fast search algorithm. The theoretical analysis and simulation results show that there is an optimal number of cooperative users in the AND cooperation model, and the cooperation performance of this part of users is better than that of global cooperation when the signal-to-noise ratio is low, while at high signal-to-noise ratio The performance is close.