存在噪声不确定度的高斯白噪声下基于特征值频谱感知算法

doi:10.12305/j.issn.1001-506X.2025.06.32

Abstract

Abstract:

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.

Key words: cognitive radio, spectrum sensing, sampling covariance, noise uncertainty, eigenvalue

CLC Number:

TN92

Rui ZHANG, Zengmao CHEN, Yongqi YANG. Eigenvalue spectrum sensing algorithm for Gaussian white noise with noise uncertainty[J]. Systems Engineering and Electronics, 2025, 47(6): 2047-2054.

Figures/Tables 6

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References 31

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Eigenvalue spectrum sensing algorithm for Gaussian white noise with noise uncertainty

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