• DocumentCode
    2233453
  • Title

    Cooperative spectrum sensing based on the compressed sensing

  • Author

    Ma, Yongkui ; Liu, Jiaxin ; Gao, Yulong

  • Author_Institution
    Communication Research Center, Harbin Institute of Technology, China
  • fYear
    2015
  • fDate
    6-8 July 2015
  • Firstpage
    110
  • Lastpage
    114
  • Abstract
    In this paper, compressed sensing is applied to cooperative spectrum sensing to reduce the number of fused data. As the modification of OR fusion, DOR fusion is proposed as merger method to deal with information from different cognitive users. And then we analyze the relationship of detection performance and the number of users. Finally, some simulations are implemented, Simulation result and theoretical analysis illustrated that DOR fusion method improves not only probability of detection but also reduce the probability of false alarm significantly compared to the commonly used OR fusion.
  • Keywords
    Compressed sensing; Corporate acquisitions; Iron; Sensors; Signal to noise ratio; compressed sensing; cooperative spectrum sensing; energy detection; optimal number of collaborative users;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2015 IEEE 14th International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    978-1-4673-7289-3
  • Type

    conf

  • DOI
    10.1109/ICCI-CC.2015.7259373
  • Filename
    7259373