• DocumentCode
    2491788
  • Title

    Blind estimation of multi-CFO for distributed MIMO-OFDM system in frequency-selective fading channels

  • Author

    Niu, Yingtao ; Chen, Qun ; Chen, Jianzhong

  • Author_Institution
    Nanjing Telecommun. Technol. Inst., Nanjing, China
  • fYear
    2009
  • fDate
    26-28 Aug. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A novel blind multiple carrier frequency offset (multi-CFO) estimation algorithm is developed for distributed multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM) systems over frequency-selective fading channels. In the algorithm, different multiple CFOs are estimated by cyclostationarity (CS) of the received signals and least square (LS) criterion. Theory analysis shows that the blind algorithm adapts to synchronization under any distributed stationary noise. Meanwhile, it has no special limitation on the number of transmit and receive antennas. Simulation results verify that the proposed algorithm maintains stability at low signal-to-noise ratio (SNR). It can also achieve excellent performance in single-input singleoutput (SISO) OFDM systems.
  • Keywords
    MIMO communication; blind source separation; fading channels; least squares approximations; blind estimation; blind multiple carrier frequency offset estimation algorithm; distributed MIMO-OFDM system; frequency-selective fading channels; least square criterion; multi-CFO; Frequency estimation; Frequency synchronization; Frequency-selective fading channels; Least squares approximation; MIMO; OFDM; Receiving antennas; Signal to noise ratio; Transmitters; Transmitting antennas; LS; MIMO-OFDM; cyclostationarity; multi-CFO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China, 2009. ChinaCOM 2009. Fourth International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-1-4244-4337-6
  • Electronic_ISBN
    978-1-4244-4337-6
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2009.5339922
  • Filename
    5339922