• DocumentCode
    2843906
  • Title

    Estimation Algorithm of Mobile OFDM CFOs Based on Step-Size

  • Author

    Lin, Lin ; Qiao, Yan-Feng ; Su, Wan-Xin

  • Author_Institution
    Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In order to maintain orthogonality among subcarriers for mobile OFDM, a CFOs step-size estimation model is established to avoid severe performance degradation caused by ICI, and algorithmic stability, step-size parameter, the error of CFOs estimate and etc are investigated. First, after an averaging window algorithm is introduced, the mathematic model of stepsize estimation algorithm is obtained through step-size parameter and time-varying CFOs. Then, based on the results of MATLAB simulation, the determination of step-size parameter, the advantages of step-size algorithm and precision are discussed. Finally, time sequence plots of added CP, interleaver and subcarrier modulation with VHDL are presented. Experimental results indicate that the maximum of CFOs errors is 0.00987 in ±3¿ variance interval, when mobile velocity is 400 km/h, according with verdicted principle that in order for the ICI effects to be negligible, the error of CFOs estimation must be accurate within 1-2% of the subcarrier spacing, and programs can correctly implement on circuit board.
  • Keywords
    OFDM modulation; hardware description languages; mathematics computing; mobile communication; MATLAB simulation; VHDL; algorithmic stability; circuit board; interleaver modulation; mathematic model; mobile OFDM carrier frequency offset; step-size estimation model; stepsize estimation algorithm; subcarrier modulation; Degradation; Error correction; Estimation error; Finite impulse response filter; MATLAB; Mathematical model; OFDM; Phase noise; Physics; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5364957
  • Filename
    5364957