• DocumentCode
    2926078
  • Title

    Performance analysis of MIMO-OFDM channel re-estimation methods

  • Author

    Mahyiddin, Wan Amirul wan Mohd ; Noordin, Kamarul Ariffin

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2011
  • fDate
    14-16 Nov. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Multiple-input multiple-output orthogonal frequency division multiplex (MIMO-OFDM) is a wireless transmission system that is currently being deployed to the latest fourth generation wireless communication system (4G). Channel state information (CSI) is required at the receiver in order to calculate the optimum decoding matrix. Using training sequence, channel property can be calculated using channel estimation technique such as least square (LS) or minimum mean square error (MMSE). The accuracy of those techniques is limited by the number of training sequence that is used for channel estimation. In this paper, we suggest that instead of just using the training sequence only, the entire transmitted symbols can be used for channel estimation. In order to do that the channel property will be estimated twice before the desired data is decoded. The proposed method has higher accuracy of estimation compared to conventional method.
  • Keywords
    4G mobile communication; MIMO communication; OFDM modulation; channel estimation; decoding; MIMO OFDM; channel reestimation methods; channel state information; decoded; fourth generation wireless communication system; performance analysis; training sequence; wireless transmission system; Multimedia communication; Channel Re-estimation; Multiple-input m ultiple-output (MIMO); Orthogonal Frequency Division Multiplex (OFDM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Multimedia (ICIM), 2011 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-0988-3
  • Type

    conf

  • DOI
    10.1109/ICIMU.2011.6122736
  • Filename
    6122736