• DocumentCode
    583098
  • Title

    A Simplified Channel Estimation Method Based on Optimal Pilots Design for MIMO-OFDM Systems

  • Author

    Hailang He ; Ying Zeng

  • Author_Institution
    Inst. of Inf. & Laser, Shaoyang Univ., Shaoyang, China
  • fYear
    2012
  • fDate
    27-29 Oct. 2012
  • Firstpage
    623
  • Lastpage
    626
  • Abstract
    The channel estimation techniques based on comb-type pilot arrangement, which is used in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) system, is investigated in this paper. In view of the contradiction of the time-domain least squares (LS) channel estimation bit error rate (BER) performance and the practical realization complexity, a novel optimal pilots design method for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) is proposed. By using this approach no large matrix pseudo-inverse is required, which greatly reduces the complexity of algorithms. Simulation results show that the proposed method provides better BER performance and lower complexity. And it is easy to implement in practical systems.
  • Keywords
    MIMO communication; OFDM modulation; channel estimation; communication complexity; error statistics; least squares approximations; matrix inversion; LS BER performance; MIMO-OFDM systems; algorithm complexity; channel estimation method; channel estimation techniques; comb-type pilot arrangement; matrix pseudo-inverse; multiple input multiple output-orthogonal frequency division multiplexing system; optimal pilots design method; realization complexity; time-domain least squares channel estimation bit error rate performance; Bit error rate; Channel estimation; Complexity theory; Partial transmit sequences; Time domain analysis; Transmitting antennas; Multiple input multiple output-orthogonal frequency division multiplexing; channel estimation; least squares; optimal pilot sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-4873-7
  • Type

    conf

  • DOI
    10.1109/CIT.2012.132
  • Filename
    6391969