基于节点选择的特征值频谱感知算法

为提高认知无线电系统对微弱信号的频谱检测能力,基于特征值的频谱感知算法越来越受到关注.在统一的框架内研究了随机矩阵特征值的极限分布特性,分析了特征值频谱感知算法中各种设置判决门限方法的特性和性能.为了降低特征值频谱感知算法的计算复杂度,提出了一种认知接收节点选择方法,大大减少了运算量.

Eigenvalue spectrum sensing based on receiver selection

To improve the detection probability of weak signals, a new eigenvalue based detection scheme is used in Cognitive Radio system and attracts more attention. The limited distribution of the largest and the smallest eigenvalues was studied in the same framework based on Random Matrix Theory, and used to set the decision thresholds accordingly. A spectrum sensing scheme based on cognitive receiver nodes selection was proposed to significiantly reduce the computational complexity at the expense of little detection performance loss.