• DocumentCode
    1694518
  • Title

    Multiple Antennas and Multipass Structure for Adaptive Duplicated Filters and Interference Canceller in WCDMA Systems

  • Author

    Nougarou, François ; Massicotte, Daniel ; Ahmed-Ouameur, Messaoud

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. du Quebec a Trois-Rivieres, Trois-Rivieres, QC
  • fYear
    2008
  • Firstpage
    134
  • Lastpage
    138
  • Abstract
    An adaptive multistage multiuser detection (MUD) method namely adaptive duplicated filters and interference canceller (ADIC), has been proposed in a uplink WCDMA context. It was shown that ADIC approach provides, in a single receive antenna scenario, the same performance as the decision feedback soft multistage parallel interference canceller (DF-soft-MPIC) while affording a complexity reduction by a factor of 4. This paper proposes and analyses new versions of ADIC: the first efficiently takes into account the diversity offered by in a multiple receiving antennas context and the second aims at improving the performance based on multipass channel estimation and joint ADIC MUD, referred herein as MADIC. With respect to performance and implementation complexity trade-offs, MADIC presents a good avenue for WCDMA base station compared to DF-soft-MPIC.
  • Keywords
    adaptive filters; channel estimation; code division multiple access; interference (signal); multibeam antennas; multiuser detection; WCDMA systems; adaptive duplicated filters; decision feedback; multipass channel estimation; multipass structure; multiple antennas; multistage parallel interference canceller; multiuser detection; single receive antenna; Adaptive arrays; Adaptive filters; Adaptive systems; Channel estimation; Feedback; Interference cancellation; Multiaccess communication; Multiuser detection; Performance analysis; Receiving antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems for Communications, 2008. ICCSC 2008. 4th IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1707-0
  • Electronic_ISBN
    978-1-4244-1708-7
  • Type

    conf

  • DOI
    10.1109/ICCSC.2008.35
  • Filename
    4536727