• DocumentCode
    1891139
  • Title

    Approximate bit error probability calculation of decision-feedback linear multiuser detectors

  • Author

    Liu, Tsung-Hsien

  • Author_Institution
    Graduate Inst. of Commun. Eng., Nat. Chung Cheng Univ., Taiwan
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    851
  • Abstract
    Using the Gaussian approximation, we calculate the approximate bit error probabilities (BEPs) or three multiusers. The accuracy of approximate BEPs for successive interference canceller (SIC), decorrelating decision feedback detector (DDFD), and orthogonal decision feedback detector (ODFD) depends on two factors. The first factor is whether the desired component at the input to the threshold is correlated with undesired component. The second factor is whether the approximate variance of the Gaussian undesired component contains non-zero covariance terms. The Gaussian approximation leads to good approximate BEPs for DDFD, to fair approximate BEPs for ODFD, but to poor approximate BEPs for SIC. The accuracy of these approximate BEPs is also justified by the results from Monte Carlo simulations
  • Keywords
    Gaussian processes; approximation theory; error statistics; feedback; interference suppression; multi-access systems; multiuser channels; signal detection; Gaussian approximation; Gaussian undesired component; Monte Carlo simulations; approximate bit error probability; approximate variance; covariance; decision-feedback linear multiuser detectors; decorrelating decision feedback detector; orthogonal decision feedback detector; successive interference canceller; synchronous code decision multiple access; Councils; Decorrelation; Detectors; Error probability; Feedback; Interference cancellation; Matched filters; Multiaccess communication; Nonlinear filters; Silicon carbide;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-7206-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2001.965539
  • Filename
    965539