• DocumentCode
    2437201
  • Title

    Performance bound for localization of a near field source

  • Author

    Chiriac, Vlad M. ; Haimovich, Alexander M. ; Schwartz, Stuart C. ; Dabin, Jason A.

  • Author_Institution
    ECE Dept., New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    2009
  • fDate
    1-4 Nov. 2009
  • Firstpage
    130
  • Lastpage
    135
  • Abstract
    The Ziv-Zakai bound (ZZB) is developed for the estimation error of a radiating source located in a plane, and observed by sensors widely distributed over the same plane. The source is non-cooperative in the sense that the transmitted waveform and its timing are unknown to the sensors. The sensors do have however, information on the power spectral density of the source. Moreover, sensors have ideal mutual time and phase synchronization. The source location is estimated by coherent processing exploiting the amplitude and phase information between pairs of sensors. An analytical expression is developed for the ZZB relating the estimation error to the carrier frequency, signal bandwidth, the number of sensors, and their location. Numerical examples demonstrate that the ZZB closely predicts the performance of the maximum likelihood estimate across the full range of signal to noise ratio (SNR) values. At low SNR, the ZZB bound demonstrates performance dominated by noise, at medium SNR, the performance is dictated by the presence of sidelobes in the localization metric, and at high SNR, it is shown that the ZZB converges to the Cramer-Rao bound.
  • Keywords
    frequency estimation; maximum likelihood estimation; sensors; signal processing; synchronisation; Cramer-Rao bound; Ziv-Zakai bound; carrier frequency; distributed sensors; error estimation; maximum likelihood estimate; near field source localization; noncooperative source; phase synchronization; power spectral density; signal to noise ratio; time synchronization; Amplitude estimation; Bandwidth; Estimation error; Frequency estimation; Frequency synchronization; Phase estimation; Position measurement; Signal analysis; Signal to noise ratio; Timing; Parameter Estimation; Performance Bounds; Source Localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-5825-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.2009.5470148
  • Filename
    5470148