Joint compressive spectrum sensing scheme in wideband cognitive radio networks

被引：0

作者：

梁军华 ^{[1
]}

刘阳 ^{[1
]}

张文军 ^{[1
]}

机构：

[1] School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University

来源：

Advances in Manufacturing | 2011年 / 15卷 / 06期

基金：

中国国家自然科学基金;

关键词：

compressive sensing; analog-to-in-formation converter(AIC); wideband congitive radio(CR) network; joint sparsity; spectrum recovery;

D O I：

暂无

中图分类号：

TN925 [无线电中继通信、微波通信];

学科分类号：

080402 ; 080904 ; 0810 ; 081001 ;

摘要：

In this paper,a distributed compressive spectrum sensing scheme in wideband cognitive radio networks is investigated.An analog-to-information converters(AIC) RF front-end sampling structure is proposed which use parallel low rate analog to digital conversions(ADCs) and fewer storage units for wideband spectrum signal sampling.The proposed scheme uses multiple low rate congitive radios(CRs) collecting compressed samples through AICs distritbutedly and recover the signal spectrum jointly.A general joint sparsity model is defined in this scenario,along with a universal recovery algorithm based on simultaneous orthogonal matching pursuit(S-OMP).Numerical simulations show this algorithm outperforms current existing algorithms under this model and works competently under other existing models.

引用

页码：568 / 573

页数：6

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