Joint Compressive Sensing in Wideband Cognitive Networks

被引:0
|
作者
Liang, Junhua [1 ]
Liu, Yang [1 ]
Zhang, Wenjun [1 ]
Xu, Youyun [1 ]
Gan, Xiaoying [1 ]
Wang, Xinbing [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China
关键词
Distributed compressive sensing; AIC; Wideband CR network; Joint sparsity; Spectrum recovery;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a distributed compressive spectrum sensing scheme in wideband cognitive radio networks is discussed. An AIC RF front-end sampling structure is proposed requiring only low rate ADCs and few storage units for spectrum sampling. Multiple CRs collect compressed samples through AICs and recover spectrum jointly. A novel joint sparsity model is defined in this scenario, along with a universal recovery algorithm based on S-OMP. Numerical simulations show this algorithm outperforms current existing algorithms under this model and works competently under other existing models.
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页数:5
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