• DocumentCode
    2498603
  • Title

    ANN based Rayleigh multipath fading channel estimation of a MIMO-OFDM system

  • Author

    Sarma, Kandarpa Kumar ; Mitra, Abhijit

  • Author_Institution
    Dept. of Electron., Gauhati Univ., Guwahati, India
  • fYear
    2009
  • fDate
    3-5 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Multiple-input multiple-output (MIMO) technology using orthogonal frequency division multiplexing (OFDM) together called MIMO-OFDM has emerged as the viable alterative to meet the demands of greater bandwidth and quality of service of the ever expanding mobile communication networks. For MIMO-OFDM systems channel estimation is one of the challenging issues. Statistical characteristics of wireless channels is partially covered by the Rayleigh distribution. It best represents the condition where there are secondary reflections due to high rise structures are always threatening to degrade communication quality. An ANN can be used to provide an estimate of the channel to minimize some of the deficiencies of multi-user transmission under Rayleigh multipath fading. The ANN can be trained to tackle such fading and associated disturbance and improve reception of MIMO-OFDM systems by providing superior bit error rate (BER)s.
  • Keywords
    MIMO communication; OFDM modulation; Rayleigh channels; error statistics; mobile communication; neural nets; quality of service; telecommunication computing; wireless channels; MIMO-OFDM system; Rayleigh distribution; Rayleigh multipath fading channel estimation; artificial neural network; bit error rate; mobile communication networks; quality of service; statistical characteristics; wireless channels; Bandwidth; Channel estimation; Degradation; Fading; MIMO; Mobile communication; OFDM; Quality of service; Rayleigh channels; Reflection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet, 2009. AH-ICI 2009. First Asian Himalayas International Conference on
  • Conference_Location
    Kathmandu
  • Print_ISBN
    978-1-4244-4569-1
  • Electronic_ISBN
    978-1-4244-4570-7
  • Type

    conf

  • DOI
    10.1109/AHICI.2009.5340306
  • Filename
    5340306