首页|Joint compressive spectrum sensing scheme in wideband cognitive radio networks

Joint compressive spectrum sensing scheme in wideband cognitive radio networks

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
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.

compressive sensinganalog-to-in-formation converter (AIC)wideband congitive radio (CR) networkjoint sparsity, spectrum recovery

LIANG Jun-hua、LIU Yang、ZHANG Wen-jun

展开 >

School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P. R. China

Project supported by the National Fundamental ResearchProject supported by the National Fundamental Research国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金Natural High-Technology Research and Development Program of ChinaNatural High-Technology Research and Development Program of ChinaNatural High-Technology Research and Development Program of China

2009CB30204022010CB731803607020466083200560972050606320402007AA01Z2672009AA01Z2482009AA011802

2011

10.1007/sl1741-011-0788-2

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子：0.196
ISSN：1007-6417
年,卷(期)：2011.15(6)
  • 14