Journal of South China University of Technology (Natural Science Edition) ›› 2013, Vol. 41 ›› Issue (1): 64-69.doi: 10.3969/j.issn.1000-565X.2013.01.010

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Distributed Compressive Spectrum Sensing Algorithm Based onIterative Support Detection

Li Han-qing Guo Qing Li Qing-zhong   

  1. Communication Research Center, Harbin Institute of Technology, Harbin 150080, Heilongjiang, China
  • Received:2012-06-19 Revised:2012-08-08 Online:2013-01-25 Published:2012-12-03
  • Contact: 李含青(1983-),男,博士生,主要从事压缩感知与协作通信技术研究. E-mail:lihanqing1983@gmail.com
  • About author:李含青(1983-),男,博士生,主要从事压缩感知与协作通信技术研究.
  • Supported by:

    国家科技重大专项资助项目(2010ZX03005-003)

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Abstract:

In wideband cognitive radio (CR) networks, high sampling rate, wireless fading channels and limitedhardware resources all impact the spectrum sensing. In this paper, a distributed compressive spectrum sensing algo-rithm based on the iterative support detection is proposed, in which CRs spread their detection information in thewhole network through the one-hop communication and the global consensus is achieved on the support set. Then,through a shared support set, the joint sparsity is utilized by CRs during the local sparse signal reconstruction, thusrealizing more accurate spectrum detection. Simulation results show that the proposed algorithm helps to achieveeffective spectrum detection at a sub-Nyquist sampling rate and possesses near-optimal detection performance in theabsence of a fusion center.

Key words: cognitive radio, compressive sensing, support detection, collaborative spectrum detection