• DocumentCode
    82597
  • Title

    Performance Analysis of Time of Arrival Estimation on OFDM Signals

  • Author

    Driusso, Marco ; Comisso, M. ; Babich, F. ; Marshall, Chris

  • Author_Institution
    Dept. of Eng. & Archit., Univ. of Trieste, Trieste, Italy
  • Volume
    22
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    983
  • Lastpage
    987
  • Abstract
    This letter characterizes the error performance of realistically modelled orthogonal frequency division multiplexing (OFDM) signals, when their time of arrival has to be estimated in an additive white Gaussian noise channel. In particular, different power distributions on the available sub-carriers of the OFDM signal are considered, and bounds on the corresponding root mean square estimation error (RMSEE) are evaluated. The tools used for such purpose are the widely adopted Cramér-Rao bound and the Ziv-Zakai bound, which is tight in a wide range of signal-to-noise ratio (SNR) values. The presented analysis reveals that, for a given signal bandwidth, a proper power distribution on the OFDM sub-carriers is crucial for achieving a good performance in the low to medium SNR region, where the RMSEE curve exhibits the typical threshold behavior. Moreover, a trade-off between asymptotic and threshold performance is identified, thanks to the adoption of a novel performance figure, which directly describes the threshold RMSEE behavior.
  • Keywords
    OFDM modulation; radiocommunication; time-of-arrival estimation; Cramer-Rao bound; OFDM signals; OFDM subcarrier distribution; Ziv-Zakai bound; orthogonal frequency division multiplexing; root mean square estimation error; time of arrival estimation; Bandwidth; Estimation; OFDM; Power distribution; Root mean square; Signal to noise ratio; Time of arrival estimation; Cramér-Rao bound; OFDM; Ziv-Zakai bound; root mean square; time of arrival estimation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2378994
  • Filename
    6979218