存在噪聲不確定度的高斯白噪聲下基于特征值頻譜感知算法

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中圖分類號：TN92 文獻標志碼：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

隨著新一代信息技術的飛速發(fā)展，各類通信應用需求呈現(xiàn)爆炸式增長，這使原本就稀缺的頻譜資源愈發(fā)緊張[認知無線電（cognitiveradio，CR）技術可以有效提高頻譜利用效率，頻譜感知技術是CR技術實現(xiàn)的基礎和關鍵[2]。（剩余15294字）