• DocumentCode
    3044939
  • Title

    Asymptotically optimum multiuser decision feedback detection

  • Author

    Varanasi, Mahesh K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
  • fYear
    1997
  • fDate
    29 Jun-4 Jul 1997
  • Firstpage
    275
  • Abstract
    The optimum decision feedback multiuser detection rule was obtained in Varanasi (1997) for the joint detection of K simultaneously transmitting users in a synchronous Gaussian correlated waveform multiple access (CWMA) channel. The measure of optimality considered there was the asymptotic symmetric (worst-case over users) effective energy. The resulting optimum decision feedback detector (ODFD) is characterized by a feedforward-feedback matrix pair and requires K additions and K multiplications per user after matched filtering for its implementation. In this paper, it is shown that in addition to its optimality in asymptotic symmetric effective energy, the ODFD can, under certain conditions, achieve optimum asymptotic effective energy for every user, thereby matching the asymptotic efficiency performance of the exponentially complex maximum likelihood detector for all users simultaneously. In proving this result, it is not assumed that interference cancellation is perfect
  • Keywords
    Gaussian channels; correlation theory; feedback; matched filters; multi-access systems; signal detection; ODFD; additions; asymptotic efficiency performance; asymptotic symmetric effective energy; asymptotically optimum multiuser decision feedback detection; feedforward-feedback matrix pair; interference cancellation; matched filtering; multiplications; optimality; optimum asymptotic effective energy; optimum decision feedback detector; simultaneously transmitting users; synchronous Gaussian correlated waveform multiple access channel; worst-case; Covariance matrix; Decorrelation; Energy measurement; Feedback; Gas detectors; Interference cancellation; Matched filters; Maximum likelihood detection; Sufficient conditions; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
  • Conference_Location
    Ulm
  • Print_ISBN
    0-7803-3956-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1997.613193
  • Filename
    613193