• DocumentCode
    1208269
  • Title

    High-resolution multipath time delay estimation for broad-band random signals

  • Author

    Ianniello, John P.

  • Author_Institution
    US Naval Underwater Syst. Center, New London, CT, USA
  • Volume
    36
  • Issue
    3
  • fYear
    1988
  • fDate
    3/1/1988 12:00:00 AM
  • Firstpage
    320
  • Lastpage
    327
  • Abstract
    The resolution limits to multipath time delay estimation for broadband random signals are examined. First, appropriate Cramer-Rao lower bounds (CRLBs) are derived to establish baseline performance for unbiased estimation. The bounds are then compared to computer simulation results. For the two-path case, a maximum-likelihood estimator is implemented, while for the three-path case, the modified forward-backward linear prediction algorithm developed for high-resolution frequency estimation is used. It is shown that both of these techniques can achieve performance close to the appropriate CRLB; in particular, reliable multipath estimation can be achieved even when the multipath time delays are much closer than could be resolved by conventional autocorrelation processing. A criterion is developed for predicting when the bound is no longer reachable. It is shown that even relatively poor a priori knowledge of the attenuation can significantly help the estimate of time delay for small delays
  • Keywords
    delays; digital simulation; estimation theory; filtering and prediction theory; random processes; signal processing; Cramer-Rao lower bounds; broadband random signals; computer simulation; maximum-likelihood estimator; modified forward-backward linear prediction algorithm; multipath time delay estimation; resolution limits; time delay; Acoustic propagation; Acoustic sensors; Attenuation; Delay effects; Delay estimation; Frequency estimation; Maximum likelihood estimation; Oceans; Sensor arrays; Signal resolution;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.1528
  • Filename
    1528