• DocumentCode
    2403580
  • Title

    Low complexity MMSE based channel estimation technique in OFDM systems

  • Author

    Sharma, Manoj ; Saini, Garima

  • Author_Institution
    Nat. Inst. of Tech Teachers Training & Res., Chandigarh, India
  • fYear
    2010
  • fDate
    28-29 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Channel state information derived from channel estimation is important for receivers to accurately recover the transmitted data. In this paper Channel estimation in OFDM in frequency domain for slow fading channel is considered. The new channel covariance matrix is defined & computational complexity is shown to be reduced. The results of the research work are expected to be useful in OFDM based applications such as IEEE 802.16(d) (FBWA) and equivalent standards.
  • Keywords
    channel estimation; communication complexity; covariance matrices; fading channels; frequency division multiple access; least mean squares methods; OFDM system; channel covariance matrix; chennel state information; computational complexity; fading channel; low complexity MMSE based channel estimation; orthogonal frequency-division multiplexing; Channel estimation; Error analysis; Fading; Frequency domain analysis; Modulation; OFDM; Signal to noise ratio; LSE; Low Rank Matrix; MMSE Modified MMSE; OFDM Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5965-0
  • Electronic_ISBN
    978-1-4244-5967-4
  • Type

    conf

  • DOI
    10.1109/ICCIC.2010.5705903
  • Filename
    5705903