• DocumentCode
    1837060
  • Title

    Optimum design for adaptive equalizers based on fractional lower-order statistics in non-Gaussian environment

  • Author

    Rupi, M. ; Re, E. Del

  • Author_Institution
    LENST Lab., Univ. di Firenze, Italy
  • Volume
    1
  • fYear
    1999
  • fDate
    24-27 Oct. 1999
  • Firstpage
    524
  • Abstract
    Adaptive channel equalization is an effective tool for the antenna receiver for estimating the information sequence in severe interference backgrounds. Therefore, the problem of linear channel distortion has been the focus of considerable research in the signal processing and communications communities. The choice of antenna receiver structure is a challenge for next radio communication systems, because on this will depend most of the improvement possible with efficient DSP devices. The two possible streets of development are the use of omnidirectional antennas or antenna arrays. Our paper provides innovative adaptive equalizers working on different not necessarily Gaussian environmental conditions.
  • Keywords
    adaptive equalisers; antenna arrays; radio receivers; receiving antennas; statistical analysis; Gaussian environmental conditions; adaptive channel equalization; adaptive equalizers; antenna arrays; antenna receiver; antenna receiver structure; fractional lower-order statistics; interference; linear channel distortion; nonGaussian environment; omnidirectional antennas; optimum design; radio communication; Adaptive arrays; Adaptive equalizers; Adaptive signal processing; Array signal processing; Digital signal processing; Distortion; Interference; Radio communication; Receivers; Receiving antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-5700-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.1999.832385
  • Filename
    832385