• DocumentCode
    1184478
  • Title

    Low-Complexity Mean-Delay Estimation for OFDM Systems

  • Author

    Choi, Ji-Woong ; Lee, Jungwon ; Choi, Jihwan P. ; Lou, Hui-Ling

  • Author_Institution
    Marvell Semicond., Inc., Santa Clara, CA, USA
  • Volume
    58
  • Issue
    7
  • fYear
    2009
  • Firstpage
    3790
  • Lastpage
    3795
  • Abstract
    In this paper, we propose two simple orthogonal frequency-division multiplexing (OFDM) mean-delay estimation schemes, i.e., a channel impulse response (CIR)-based scheme and a differential scheme, which are applicable for adaptive algorithms including improved channel estimation and fast handover. Instead of time-domain processing which requires additional inverse fast Fourier transform (IFFT), the mean delay can be obtained in the proposed CIR-based scheme using the estimated frequency-domain CIR. When cell-specific preamble sequences are employed, the mean delay can also be estimated without CIR estimation in the proposed differential scheme using cross correlation of differentially correlated received signals, enabling further complexity reduction and performance improvement when the CIR estimation is not sufficiently accurate. The performance of the proposed schemes is verified by computer simulation.
  • Keywords
    OFDM modulation; channel estimation; correlation methods; delay estimation; estimation theory; fast Fourier transforms; frequency-domain analysis; time-domain analysis; transient response; CIR estimation; OFDM systems; adaptive algorithms; cell-specific preamble sequences; channel estimation; channel impulse response; complexity reduction; cross correlation; differentially correlated received signals; estimated frequency-domain CIR; inverse fast Fourier transform; low-complexity mean-delay estimation; orthogonal frequency-division multiplexing; time-domain processing; Estimation; mean delay; orthogonal frequency-division multiplexing (OFDM);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2009.2016426
  • Filename
    4797852