• DocumentCode
    3536122
  • Title

    Low Complexity Channel Estimation Method of MIMO-OFDM for LTE Downlink

  • Author

    Deng, Bing ; Wang, Wenbo

  • Author_Institution
    Sch. of Inf. &Telecommun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    23-25 Sept. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper channel estimation method of long Term Evolution (LTE) system is addressed. For pilot aided channel estimation of OFDM system mainly includes coarse channel estimation and interpolation to reconstruct the channel impulse response. To keep better performance of channel estimation in OFDM system, the optimum linear minimum mean squared error (LMMSE) generally is addressed for interpolation procedure. We present poly-phase filter architecture and method to implement interpolation process of channel estimation to reduce the complexity of LMMSE estimator. Meanwhile, we also fully utilize the symmetry of coefficient matrix to further reduce the complexity of the traditional poly-phase filter of channel estimation. Algorithm deductions show that the complexity of proposed method greatly reduced with the same performance of LMMSE estimator in realistic scenarios.
  • Keywords
    Long Term Evolution; MIMO communication; OFDM modulation; channel estimation; filtering theory; interpolation; least mean squares methods; transient response; wireless channels; LTE downlink; Long Term Evolution downlink; Low complexity channel estimation method; MIMO-OFDM system; channel impulse response reconstruction; coarse channel estimation; coefficient matrix; interpolation procedure; optimum LMMSE estimator; optimum linear minimum mean squared error estimator; pilot aided channel estimation; poly-phase filter architecture; Channel estimation; Complexity theory; Filtering algorithms; Finite impulse response filter; Interpolation; OFDM; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2161-9646
  • Print_ISBN
    978-1-4244-6250-6
  • Type

    conf

  • DOI
    10.1109/wicom.2011.6036656
  • Filename
    6036656