• DocumentCode
    2736086
  • Title

    An approach to signal detection in CDMA systems using optimal linear-quadratic statistical processing

  • Author

    Shikh-Bahaei, M.R. ; Aghvami, A.H.

  • Author_Institution
    Centre for Telecommun. Res., King´´s Coll., London, UK
  • Volume
    3
  • fYear
    1998
  • fDate
    18-21 May 1998
  • Firstpage
    2454
  • Abstract
    In this paper the application of a linear-quadratic processor is proposed for detection of each user´s signal in a direct sequence code division multiple access system. In this method, some statistical knowledge of interfering transmitters´ signals is used to detect the desired user´s signal. This is without needing exact “a priori” knowledge of the interfering signal parameters such as spreading sequences and signal powers. Parameters of the proposed processor can be obtained by the solution of a system of linear equations for which many effective techniques exist. A model for this detection procedure is developed and it is shown that a good compromise between complexity and quality of performance can be achieved
  • Keywords
    code division multiple access; interference (signal); signal detection; spread spectrum communication; DS-CDMA systems; complexity; direct sequence code division multiple access system; effective techniques; interfering signal parameters; interfering transmitters´ signals; linear equations; optimal linear-quadratic statistical processing; quality of performance; signal detection; signal powers; spreading sequences; Binary phase shift keying; Detectors; Educational institutions; Equations; Mathematical model; Maximum likelihood detection; Multiaccess communication; Multiple access interference; Signal detection; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 1998. VTC 98. 48th IEEE
  • Conference_Location
    Ottawa, Ont.
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-4320-4
  • Type

    conf

  • DOI
    10.1109/VETEC.1998.686200
  • Filename
    686200