• DocumentCode
    797579
  • Title

    Blind adaptive multiuser detection

  • Author

    Honig, Michael ; Madhow, Upamanyu ; Verdu, Sergio

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
  • Volume
    41
  • Issue
    4
  • fYear
    1995
  • fDate
    7/1/1995 12:00:00 AM
  • Firstpage
    944
  • Lastpage
    960
  • Abstract
    The decorrelating detector and the linear minimum mean-square error (MMSE) detector are known to be effective strategies to counter the presence of multiuser interference in code-division multiple-access channels; in particular, those multiuser detectors provide optimum near-far resistance. When training data sequences are available, the MMSE multiuser detector can be implemented adaptively without knowledge of signature waveforms or received amplitudes. This paper introduces an adaptive multiuser detector which converges (for any initialization) to the MMSE detector without requiring training sequences. This blind multiuser detector requires no more knowledge than does the conventional single-user receiver: the desired user´s signature waveform and its timing. The proposed blind multiuser detector is made robust with respect to imprecise knowledge of the received signature waveform of the user of interest
  • Keywords
    adaptive signal detection; code division multiple access; interference suppression; telecommunication channels; MMSE multiuser detector; adaptive multiuser detector; blind adaptive multiuser detection; blind multiuser detector; code-division multiple-access channels; decorrelating detector; interference suppression; linear minimum mean-square error; multiuser interference; optimum near-far resistance; received amplitudes; received signature waveform; signature waveform; training data sequences; Decorrelation; Demodulation; Detectors; Gaussian channels; Interference; Multiaccess communication; Multiuser detection; Power control; Power system reliability; Timing;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.391241
  • Filename
    391241