• DocumentCode
    147072
  • Title

    Equalization techniques in MIMO systems - An analysis

  • Author

    Mydhili, S.K. ; Rajeswari, A.

  • Author_Institution
    Anna Univ. of Technol., Coimbatore, India
  • fYear
    2014
  • fDate
    3-5 April 2014
  • Firstpage
    1082
  • Lastpage
    1086
  • Abstract
    One of the important techniques, which can combat and exploit the frequency-selectivity of the wireless channel in providing high data rate wireless systems, lies in the hand of equalization. The wireless systems that is evolved the last few decades necessitates in the design and analysis of equalization techniques. The current trend as well as the future generation of wireless systems is supposed to possess very high spectral efficiency, presence of rapidly time varying channels due to high mobility and the availability of partial or no channel state information at the transmitter and/or receiver which prescribes MIMO systems. When the data is transmitted at high bit rates, over mobile radio channels, the channel impulse response can extend over many symbol periods, which lead to Inter-symbol interference (ISI). This paper analyses the performances of equalization techniques by considering 2 transmit and 2 receive antenna (2×2 MIMO) over a flat fading Rayleigh multipath channel and provides a bit error rate analysis of the same.
  • Keywords
    MIMO communication; Rayleigh channels; equalisers; error statistics; intersymbol interference; least mean squares methods; multipath channels; receiving antennas; transient response; transmitting antennas; ISI; MIMO systems; bit error rate analysis; channel impulse response; channel state information; equalization techniques; flat fading Rayleigh multipath channel; frequency-selectivity; high data rate wireless systems; intersymbol interference; mobile radio channels; rapidly time varying channels; receive antenna; symbol periods; transmit antenna; wireless channel; Baseband; Bit error rate; Equalizers; Force; MIMO; Receiving antennas; Transmitting antennas; BER; MIMO; ML equalization; Minimum Mean Square Error; Zero Forcing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2014 International Conference on
  • Conference_Location
    Melmaruvathur
  • Print_ISBN
    978-1-4799-3357-0
  • Type

    conf

  • DOI
    10.1109/ICCSP.2014.6950014
  • Filename
    6950014