• DocumentCode
    477389
  • Title

    Estimation of carrier and sampling frequency offset for Ultra Wide Band multiband OFDM systems

  • Author

    Laurenti, Nicola ; Renna, Francesco

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padova
  • Volume
    2
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    49
  • Lastpage
    54
  • Abstract
    Ultra wide band (UWB) systems based on multiband orthogonal frequency division multiplexing (MB-OFDM) modulation, similarly to traditional OFDM systems, are particularly sensitive to oscillators instability, as carrier and sampling frequency offsets between the transmitter and the receiver destroy the subchannel orthogonality. Precise carrier and sampling frequency offsets estimation and compensation at the receiver side are therefore necessary, and should use methods with moderate complexity due to the high system transmission rates that require fast acquisition times. We formulate algorithms that are based upon the received frequency domain symbols, where the effect of both offsets can be observed, and jointly estimate them with either a linear least squares or maximum likelihood approach. The performance of the algorithms is assessed through simulation in a realistic UWB channel scenario and compared with previous literature results.
  • Keywords
    OFDM modulation; least squares approximations; maximum likelihood estimation; ultra wideband communication; UWB channel; carrier frequency offset; linear least squares; maximum likelihood approach; orthogonal frequency division multiplexing modulation; sampling frequency offsets; ultra wide band multiband OFDM systems; Frequency domain analysis; Frequency estimation; Least squares approximation; Maximum likelihood estimation; OFDM modulation; Oscillators; Robustness; Sampling methods; Transmitters; Ultra wideband technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra-Wideband, 2008. ICUWB 2008. IEEE International Conference on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-2216-6
  • Electronic_ISBN
    978-1-4244-1827-5
  • Type

    conf

  • DOI
    10.1109/ICUWB.2008.4653349
  • Filename
    4653349