基于动态组稀疏重构的频谱感知算法

针对认知无线电网络中宽带频谱感知问题, 提出了一种基于主用户信号频谱结构的频谱感知算 法, 简称为DGS - SS算法.该算法首先利用压缩感知理论对信号进行欠采样, 然后利用主用户信号频谱的组 稀疏结构修正重构过程中的频谱和残差支撑集, 从而能够加快重构主用户信号频谱的收敛速度, 而且也能够 提高主用户信号频谱的重构精度, 最后利用重构信号频谱给出频谱空穴的有效检测.仿真结果表明, 所提算法 不仅能在低压缩比下精确重建信号频谱, 而且对噪声变化具有更强的鲁棒性, 从而有效地提高了频谱感知 性能....

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Bibliographic Details
Published in东北大学学报（自然科学版） Vol. 39; no. 1; pp. 31 - 34
Main Author 刘福来;刘蕾;杜瑞燕;张淼
Format Journal Article
LanguageChinese
Published 东北大学秦皇岛分校 计算机与通信工程学院,河北 秦皇岛 066004 2018
东北大学 计算机科学与工程学院,辽宁 沈阳 110169%东北大学 计算机科学与工程学院,辽宁 沈阳,110169
Subjects
主用户信号重构
动态组稀疏
压缩感知
认知无线电
频谱感知
频谱感知
cognitive radio
compressed sensing
主用户信号重构
primary user signal reconstruction
压缩感知
spectrum sensing
认知无线电
dynamic group sparsity
动态组稀疏
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ISSN1005-3026
DOI10.12068/j.issn.1005-3026.2018.01.007

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Summary:针对认知无线电网络中宽带频谱感知问题, 提出了一种基于主用户信号频谱结构的频谱感知算 法, 简称为DGS - SS算法.该算法首先利用压缩感知理论对信号进行欠采样, 然后利用主用户信号频谱的组 稀疏结构修正重构过程中的频谱和残差支撑集, 从而能够加快重构主用户信号频谱的收敛速度, 而且也能够 提高主用户信号频谱的重构精度, 最后利用重构信号频谱给出频谱空穴的有效检测.仿真结果表明, 所提算法 不仅能在低压缩比下精确重建信号频谱, 而且对噪声变化具有更强的鲁棒性, 从而有效地提高了频谱感知 性能.
Bibliography:LIU Fu- lai1,2, LIU Lei2 , DU Rui- yan1,2 , ZHANG Miao2（1. School of Computer and Communication Engineering,Northeastern University at Qinhuangdao,Qinhuangdao 066004,China; 2. School of Computer Science ＆ Engineering,Northeastern University, Shenyang 110169,China）
21-1344/T
cognitive radio; spectrum sensing; compressed sensing; dynamic group sparsity; primary user signal reconstruction
To solve the problem of wideband spectrum sensing in cognitive radio networks,a spectrum sensing algorithm based on the spectrum structure of primary user signals was proposed, which is called DGS-SS algorithm. Firstly, compressed sensing theory was applied to signal acquisition to achieve a sub-Nyquist rate. Secondly, the group sparsity structure of primary user spectrum was used to modify the spectrum and residual support set during the reconstruction process, which can speed up the convergence and improve the accuracy of the reconstruction of primary user spectrum. Finally, effective detection of spectrum holes was given by the
ISSN:1005-3026
DOI:10.12068/j.issn.1005-3026.2018.01.007