• DocumentCode
    1999798
  • Title

    Blind Deconvolution Algorithm for MIMO Channel

  • Author

    Min Zhao ; Zhaoshui He ; Shengli Xie

  • Author_Institution
    Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    1
  • fYear
    2008
  • fDate
    13-17 Dec. 2008
  • Firstpage
    470
  • Lastpage
    474
  • Abstract
    This paper presents a new frequency domain algorithm for blind deconvolution. Our frequency domain algorithm can overcome the difficulty appearing at the frequency bin and avoids the ambiguity of frequency coupling. Like other frequency domain algorithms, our algorithm needs not the identically distributed (iid) assumption of source signals. Our result shows that as long as observed signals are more one than source signals, the source signals can be separated from the observed mixtures. Therefore, the frequency domain algorithm proposed in this paper can be applied in wider field than previous algorithms. Finally, experiments demonstrate the performance of our algorithm.
  • Keywords
    MIMO communication; blind source separation; deconvolution; frequency-domain analysis; wireless channels; MIMO channel; blind deconvolution algorithm; frequency coupling; frequency domain algorithm; identically distributed assumption; Blind source separation; Computational intelligence; Convolution; Deconvolution; Eigenvalues and eigenfunctions; Frequency domain analysis; Information security; MIMO; Signal processing; Signal processing algorithms; blind signal separation; deconvolution; mimo;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2008. CIS '08. International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-0-7695-3508-1
  • Type

    conf

  • DOI
    10.1109/CIS.2008.136
  • Filename
    4724695