• DocumentCode
    485456
  • Title

    A novel pilot-based carrier frequency offset estimation in MC-DS-CDMA uplink

  • Author

    Licheng Liu ; Xianhua Dai ; Dong Li

  • Author_Institution
    Sun Yat-Sen Univ., Guangzhou
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    1039
  • Lastpage
    1042
  • Abstract
    Carrier frequency offset (CFO) of different users in the multicarrier DS-CDMA (MC-DS-CDMA) system may violate the orthogonality among subcarriers and induce inter-carrier interference (ICI) and inter-user interference (IUI). This paper develops a new algorithm based on pilot clusters for CFO estimation of the uplink of MC-DS-CDMA system. By exploiting the low-pass property of fast Fourier transform (FFT) vector of the complex exponential function as well as the non-coherent property of the pilot clusters among users, we can obtain a signal matrix in the frequency domain at the receiver and the CFO of all users can be estimated from its row vectors, which are made up of the complex exponential function sequences including CFO of different users. Under the case of CFO in the fine tracking phase and the slowly time-varying flat-fading channel, the simulation shows that the mean value of the CFO estimation error is close to 0.01% subcarrier spacing when the signal to noise ratio (SNR) is 10 dB.
  • Keywords
    channel estimation; code division multiple access; fading channels; fast Fourier transforms; frequency-domain analysis; matrix algebra; radio links; radiofrequency interference; spread spectrum communication; time-varying channels; MC-DS-CDMA uplink; complex exponential function; error estimation; fast Fourier transform; frequency domain; intercarrier interference; interuser interference; noncoherent property; pilot-based carrier frequency offset estimation; signal to noise ratio; subcarrier spacing; time-varying flat-fading channel; Carrier frequency offset; MC-DS-CDMA; pilot based estimation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07). IET Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0537-9989
  • Print_ISBN
    978-0-86341-836-5
  • Type

    conf

  • Filename
    4786383