• DocumentCode
    1523462
  • Title

    Recurrent neural network array for CDMA mobile communication systems

  • Author

    Benson, Michael ; Carrasco, R.A.

  • Author_Institution
    Sch. of Eng., Staffordshire Univ., Stafford
  • Volume
    33
  • Issue
    25
  • fYear
    1997
  • fDate
    12/4/1997 12:00:00 AM
  • Firstpage
    2105
  • Lastpage
    2106
  • Abstract
    The application of a recurrent neural network structure to adaptive antenna arrays in a CDMA system is presented. This novel approach enables space and time diversity combining of the signals, and is evaluated over multipath fading channels. Computer simulation results show that the recurrent structure performs better and has a lower computational complexity than the RLS-based adaptive array
  • Keywords
    code division multiple access; CDMA mobile communication system; adaptive antenna array; computational complexity; computer simulation; multipath fading channel; recurrent neural network; signal processing; space diversity; time diversity;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19971451
  • Filename
    645728
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1523462