摘要
针对传统频谱感知算法易受噪声不确定度影响,提出一种基于采样协方差矩阵的最大特征值与信号能量之差(difference between maximum eigenvalue and signal energy,DMEE)的频谱感知算法。在存在噪声不确定度的高斯白噪声的环境下,通过理论分析与仿真实验,验证所提算法不存在信噪比墙的现象,且不易受噪声不确定度的影响,与基于次级用户接收端采样信号协方差矩阵的特征值的同类算法相比,提升了存在噪声不确定度的高斯白噪声环境下的频谱感知性能。
Since traditional spectrum sensing algorithms are susceptible to noise uncertainty,a spectrum sensing algorithm based on the difference between maximum eigenvalue and signal energy(DMEE)of the sampling covariance matrix is proposed.In the context of white Gaussian noise with noise uncertainty,theoretical analysis and simulation experiments verify that the proposed algorithm does not have the phenomenon of signal to noise ratio wall and is not easily affected by noise uncertainty.Compared with similar eigenvalue algorithms based on covariance matrix of sampling signal at the receiving end of secondary users,the spectrum sensing performance in the environment of white Gaussian noise with noise uncertainty is improved.
作者
张睿
陈增茂
杨永琦
ZHANG Rui;CHEN Zengmao;YANG Yongqi(School of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China)
出处
《系统工程与电子技术》
北大核心
2025年第6期2047-2054,共8页
Systems Engineering and Electronics
