• DocumentCode
    1850969
  • Title

    Frequency selective Rician fast fading estimation for the downlink of TD-SCDMA system in the presence of a residual frequency offset

  • Author

    Junfeng Wang ; Jianfu Teng ; Yue Cui ; Xiurong Ma

  • Author_Institution
    Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
  • Volume
    2
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    1424
  • Lastpage
    1428
  • Abstract
    In this paper, a new scheme is proposed for estimating the frequency selective Rician fast fading channel for the downlink of TD-SCDMA system in the presence of a residual frequency offset (RFO). Via modifying the burst structure, the channel impulse response (CIR) with the RFO for each block of the modified burst structure is first modeled as a linear function of time, which is analysed and verified by theory and computer simulation, respectively. Then, a maximum-likelihood-based method is presented along with the modified burst structure to estimate these time-varying CIR coefficients with the RFO. Finally, the simulation results illustrate that the proposed method leads to small mean square error for fading estimation even at high speed of the mobile terminals and the RFO up to 200 km/h and 200 Hz, respectively.
  • Keywords
    Rician channels; channel estimation; code division multiple access; maximum likelihood estimation; mean square error methods; time division multiplexing; RFO; TD-SCDMA system; channel impulse response; computer simulation; downlink; frequency selective Rician fast fading channel estimation; maximum-likelihood-based method; mean square error; mobile terminal; modified burst structure; residual frequency offset; time-varying CIR coefficient estimation; TD-SCDMA system; channel estimation; frequency selective Rician fast fading; maximum-likelihood; residual frequency offset;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491843
  • Filename
    6491843