基于最大最小特征值检测的认知用户容量分析

Throughput analysis of secondary user based on maximum-minimum eigenvalue detection

讨论在噪声不确定场景下,认知用户配备多根接收天线,采用最大最小特征值检测算法时的系统容量问题,推导得到系统容量与检测概率和虚警概率的关系表达式。仿真结果表明,最大最小特征值检测算法在噪声不确定场景下具有良好的检测性能,认知用户系统容量明显高于采用多天线能量检测算法时得到的容量。

Noise uncertainty was taken into account in the maximization of throughput using maximum-minimum eigenvalue based spectrum sensing scheme.The expressions of the relationship between throughput and the detection probability and the false alarm probability were also derived.Simulation results demonstrate that the maximum-minimum eigenvalue detector is robust to noise uncertainty.The maximum-minimum eigenvalue detector provides significantly higher throughput compared to the energy detector in the presence of noise uncertainty.