• DocumentCode
    650393
  • Title

    Compressive channel sensing based on random pilot for physical layer communication security

  • Author

    Hao Wei ; Baoyu Zheng ; Xiaoyun Hou

  • Author_Institution
    Inst. of Signal Process. & Transm., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2013
  • fDate
    16-18 May 2013
  • Firstpage
    693
  • Lastpage
    698
  • Abstract
    Accurate channel state information (CSI) is necessary for correctly receiving information. Compressive sensing has been used for channel estimation because of the sparsity of the wireless multipath channel. Based on compressive sensing, the channel estimation performance by setting pilots randomly is much better than uniformly and successively. This paper proposed a scheme for security communication in physical layer by exploiting the randomness of pilots to prevent eavesdropping in wireless communication. The transmitter places the pilots according to the random pilot codebook, then the legitimate user can accurately estimate CSI according to the codebook and the eavesdropper cannot because of not knowing the position of pilots. The simulation results show that the legitimate user can correctly decode information, while the BER performance of eavesdropper is very bad, and the security capacity is close to the legitimate user´s capacity. This scheme effectively ensures the safety of the physical layer communication.
  • Keywords
    channel estimation; compressed sensing; error statistics; multipath channels; radio networks; telecommunication security; BER; CSI; channel estimation; channel state information; compressive channel sensing; physical layer communication security; random pilot; security communication; wireless multipath channel; channel estimation; compressive sensing; physical layer security; random pilot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Optical Communication Conference (WOCC), 2013 22nd
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-5697-8
  • Type

    conf

  • DOI
    10.1109/WOCC.2013.6676463
  • Filename
    6676463