• DocumentCode
    2738644
  • Title

    A channel estimation method based on cyclic orthogonal pilot

  • Author

    Ding, Rui ; Gao, Xiqi ; Yu, Xiaohu

  • Author_Institution
    Nat. Mobile Commun. Res. Lab, Southeast Univ., Nanjing, China
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    1538
  • Abstract
    In this paper, an approach for channel estimation method is analyzed for the next generation mobile communications system. The mean square error of the proposed LS channel estimation is derived, and through this we derive optimal pilot sequences. It´s shown in this paper that the minimum mean square error (MMSE) is obtained with cyclic orthogonal pilot sequence. For intermediate data segments, two methods are proposed to estimate the channel impulse response. These methods are analyzed by computer simulation under multi-path Rayleigh fading channel. Through simulations it´s shown that the optimal pilot sequences derived in this paper outperform the random pilot sequences. And compared to the ideal channel estimation, the proposed method degrades only about 1 dB at a BER of 10/sup -6/ for high moving velocity.
  • Keywords
    Rayleigh channels; channel estimation; digital simulation; least mean squares methods; mobile communication; multipath channels; random sequences; transient response; channel impulse response; computer simulation; cyclic orthogonal pilot sequence; data segments; least square channel estimation method; minimum mean square error; mobile communications system; multipath Rayleigh fading channel; optimal pilot sequences; random pilot sequences; Bit error rate; Channel estimation; Computer simulation; Convolution; Fading; Mean square error methods; Mobile communication; Partial transmit sequences; Vectors; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1281170
  • Filename
    1281170