• DocumentCode
    2609233
  • Title

    Performance comparison of MMSE-based adaptive multiuser detection of DS-CDMA signals

  • Author

    Gajbhiye, Mangala R. ; Sathpathy, J.K.

  • Author_Institution
    Electr. Eng. Dept., Nat. Inst. of Technol., Rourkela, India
  • fYear
    2010
  • fDate
    27-29 Dec. 2010
  • Firstpage
    71
  • Lastpage
    76
  • Abstract
    Direct-sequence code-division multiple access (DS-CDMA) is a popular multiple-access technology for wireless communication. However its performance is limited by multiple-access interference (MAI) and multipath distortion. Adaptive techniques for detection of DS-CDMA signals improves the performance of the CDMA system by reducing interference among users by employing two major types of adaptive technique called least mean squares (LMS) and recursive least square (RLS) in non-dispersive channels. In this paper the diversity scheme called maximum ratio combining (MRC) as preprocessor to the adaptive MMSE detector of DS-CDMA system in multipath channel is introduced and compare the complexities of adaptive techniques.
  • Keywords
    adaptive signal detection; code division multiple access; diversity reception; interference (signal); least mean squares methods; multiuser detection; spread spectrum communication; DS-CDMA signal; MMSE based adaptive multiuser detection; direct sequence code division multiple access; diversity scheme; maximum ratio combining; multipath distortion; multiple access interference; multipleaccess technology; wireless communication; Industrial electronics; Multiaccess communication; Multiuser detection; Service robots; Adaptive multi-user detection; Direct-sequence code-division multiple access (DS-CDMA); maximum ratio combining (MRC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control & Robotics (IECR), 2010 International Conference on
  • Conference_Location
    Orissa
  • Print_ISBN
    978-1-4244-8544-4
  • Type

    conf

  • DOI
    10.1109/IECR.2010.5720167
  • Filename
    5720167