• DocumentCode
    2607964
  • Title

    Efficient nonlinear blind interference cancellation for DS/CDMA

  • Author

    Patel, Alpesh ; Haykin, Simon

  • Author_Institution
    McMaster Univ., Hamilton, Ont., Canada
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    402
  • Lastpage
    407
  • Abstract
    Multiple-access interference (MAI) in direct-sequence code-division multiple-access can be cancelled blindly using minimum mean output energy adaptation. The original MMOE scheme is linear. Because optimal detectors are nonlinear, a more general framework for MMOE detection is presented. A nonlinear MMOE scheme based on the Volterra expansion has high complexity and poor transient performance, so new nonlinear schemes are presented. Pattern classification principles motivate using the hyperbolic tangent function in nonlinear schemes. An efficient hybrid scheme is proposed that combines the advantages of the linear and hyperbolic tangent methods into a single detector
  • Keywords
    adaptive signal detection; code division multiple access; interference suppression; multiuser channels; pattern classification; radiofrequency interference; spread spectrum communication; DS/CDMA; MMOE detection; Volterra expansion; direct-sequence code-division multiple-access; efficient hybrid scheme; hyperbolic tangent function; minimum mean output energy adaptation; multiple-access interference; nonlinear MMOE; nonlinear blind interference cancellation; optimal detectors; pattern classification; Adaptive signal detection; Convergence; Detectors; Interference cancellation; Matched filters; Multiaccess communication; Multiple access interference; Pattern classification; Switches; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Systems for Signal Processing, Communications, and Control Symposium 2000. AS-SPCC. The IEEE 2000
  • Conference_Location
    Lake Louise, Alta.
  • Print_ISBN
    0-7803-5800-7
  • Type

    conf

  • DOI
    10.1109/ASSPCC.2000.882508
  • Filename
    882508