• DocumentCode
    539225
  • Title

    Ziv-Zakai bound for rate-constrained time-delay estimation in a wireless sensor network

  • Author

    Srinivasan, S.

  • Author_Institution
    Digital Signal Process. Group, Philips Res. Labs., Eindhoven, Netherlands
  • fYear
    2010
  • fDate
    26-29 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Source localization is an important application of wireless sensor networks, and time-delay estimation is an essential step in several location finding algorithms. Various performance bounds for time-delay estimation have been developed for the case where the complete data from all individual sensors is considered available at the fusion center. In a wireless sensor network however, there exists a constraint on the number of bits that may be wirelessly exchanged between the sensors. This paper investigates performance bounds on time-delay estimation under a rate constraint, where the estimation is performed at the fusion center using signals that have been encoded with the available rate R. The Ziv-Zakai bound, which has been shown to subsume other bounds such as the Barankin and the Cramer-Rao bound as special cases, is obtained for the rate-constrained case and used to analyze the relation between the communication bit-rate and the variance of the time-delay estimation error.
  • Keywords
    delay estimation; sensor fusion; wireless sensor networks; Ziv-Zakai bound; communication bit-rate; fusion center; location finding algorithm; rate-constrained time-delay estimation; signal fusion; source localization; time-delay estimation error; wireless sensor network; Bandwidth; Estimation error; Sensors; Signal to noise ratio; Wireless sensor networks; Time-delay estimation; Ziv-Zakai bound; rate constraint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2010 13th Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    978-0-9824438-1-1
  • Type

    conf

  • DOI
    10.1109/ICIF.2010.5712069
  • Filename
    5712069