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

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中图分类号：TN92 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.06.32

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 phenomenonof signal to noise ratio wall and is not easily affected bynoise uncertainty.Compared with similar eigenvalue algorithms basedon covariance matrix ofsampling signal at the receiving end of secondary users，the spectrum sensing performance in the environment of white Gaussian noise with noise uncertainty is improved.

Keywords：cognitive radio；spectrum sensing；sampling covariance；noise uncertainty；eigenvalue

0 引言

随着新一代信息技术的飞速发展，各类通信应用需求呈现爆炸式增长，这使原本就稀缺的频谱资源愈发紧张[认知无线电（cognitiveradio，CR）技术可以有效提高频谱利用效率，频谱感知技术是CR技术实现的基础和关键[2]。（剩余15294字）