• DocumentCode
    456115
  • Title

    Maximum Likelihood Frequency Offset Estimation & Cramer Rao Bound for Ultra-Wideband (UWB) Multi-Band OFDM Systems

  • Author

    Yak, Chin Wee ; Lei, Zhongding ; Tjhung, Tjeng Thiang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore
  • Volume
    5
  • fYear
    2006
  • fDate
    7-10 May 2006
  • Firstpage
    2373
  • Lastpage
    2377
  • Abstract
    The maximum likelihood (ML) estimator and the Cramer Rao Bound (CRB) for frequency offset estimation are derived and compared against each other in a multi-band orthogonal frequency division multiplexing (MB-OFDM) ultra-wideband (UWB) system. A total of 100 UWB channel realizations, as proposed by IEEE 802.15 channel modeling sub-committee, for each channel model (CM) 1: line-of-sight for 0-4 m and CM2: non-line-of-sight for 0-4 m are simulated to demonstrate the convergence of the ML estimator variance with the CRB for high signal-to-noise ratio (SNR)
  • Keywords
    OFDM modulation; fading channels; frequency estimation; maximum likelihood estimation; personal area networks; ultra wideband communication; CRB; Cramer Rao Bound; IEEE 802.15 channel modeling sub-committee; SNR; UWB channel; fading channels; maximum likelihood frequency offset estimation; multi-band orthogonal frequency division multiplexing; signal-to-noise ratio; ultra-wideband multi-band OFDM systems; Computer vision; Convergence; Cramer-Rao bounds; Delay estimation; Fading; Frequency estimation; Intersymbol interference; Maximum likelihood estimation; OFDM modulation; Ultra wideband technology; Cramer Rao bound; MB-OFDM; UWB; frequency offset estimation; maximum likelihood;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd
  • Conference_Location
    Melbourne, Vic.
  • ISSN
    1550-2252
  • Print_ISBN
    0-7803-9391-0
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2006.1683282
  • Filename
    1683282