• DocumentCode
    1387264
  • Title

    Adaptive detection for DS-CDMA

  • Author

    Woodward, Graeme ; Vucetic, Branka S.

  • Author_Institution
    Dept. of Electr. Eng., Sydney Univ., NSW, Australia
  • Volume
    86
  • Issue
    7
  • fYear
    1998
  • fDate
    7/1/1998 12:00:00 AM
  • Firstpage
    1413
  • Lastpage
    1434
  • Abstract
    A review of adaptive detection techniques for direct-sequence code division multiple access (CDMA) signals is given. The goal is to improve CDMA system performance and capacity by reducing interference between users. The techniques considered are implementations of multiuser receivers, for which background material is given. Adaptive algorithms improve the feasibility of such receivers. Three main forms of receivers are considered. The minimum mean square error (MMSE) receiver is described and its performance illustrated. Numerous adaptive algorithms can be used to implement the MMSE receiver, including blind techniques, which eliminate the need for training sequences. The adaptive decorrelator can be used to eliminate interference from known interferers, though it is prone to noise enhancement. Multistage and successive interference cancellation techniques reduce interference by cancellation of one detected signal from another. Practical problems and some open research topics are mentioned. These typically relate to the convergence rate and tracking performance of the adaptive algorithm
  • Keywords
    adaptive signal detection; channel capacity; code division multiple access; convergence of numerical methods; correlation methods; interference suppression; least mean squares methods; radio receivers; radiofrequency interference; spread spectrum communication; tracking; CDMA signals; DS-CDMA; LMS; MMSE receiver; adaptive algorithms; adaptive decorrelator; adaptive detection; convergence rate; direct-sequence code division multiple access; interference reduction; minimum mean square error; multistage interference cancellation; multiuser receivers; noise enhancement; performance; successive interference cancellation; system capacity; tracking performance; training sequences; Adaptive algorithm; Adaptive signal detection; Decorrelation; Interference cancellation; Interference elimination; Mean square error methods; Multiaccess communication; Noise cancellation; Signal detection; System performance;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/5.681371
  • Filename
    681371