• DocumentCode
    1785938
  • Title

    Blind nonlinear multiuser detection for CDMA signals in the presence of alpha-stable noise and strong cochannel interferer using empirical characteristic function

  • Author

    Saberali, S. Mohammad ; Amindavar, Hamidreza

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Isfahan, Isfahan, Iran
  • fYear
    2014
  • fDate
    20-22 May 2014
  • Firstpage
    1561
  • Lastpage
    1564
  • Abstract
    In this paper, we address the multiuser detection problem in the presence of strong interference, mixture of Gaussian and α-stable noises. We initially obtain locally optimal (LO) detection rule for this problem which can almost completely suppress interference effect and combat α-stable noise to some extent using oversampling in the receiver or channel coding in the transmitter. Then, we derive a new low complexity suboptimal detector considering the LO detector characteristics. This detector suppresses the degradation in the system performance due to interferer which is more substantial than α-stable noise degradation. We demonstrate that for the new suboptimal detector we only require the estimation of the interferer level which in turn is accurately estimated blindly based on a small number of observation samples through the empirical characteristic function (ECF) calculation.
  • Keywords
    Gaussian noise; channel coding; cochannel interference; code division multiple access; interference suppression; α-stable noises; CDMA signals; Gaussian noises; alpha-stable noise; blind nonlinear multiuser detection; channel coding; cochannel interferer; empirical characteristic function calculation; interference suppression; locally optimal detection; transmitter; Detectors; Estimation; Interference; Multiaccess communication; Multiuser detection; Noise; Receivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
  • Conference_Location
    Tehran
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2014.6999784
  • Filename
    6999784