• DocumentCode
    983506
  • Title

    Drift Errors in Passive Remote Wireless SAW Sensing With Multiple DPM

  • Author

    Shmaliy, Yuriy S. ; Shmaliy, Oleksandr ; Ibarra-Manzano, Oscar

  • Author_Institution
    Dept. of Electron., Guanajuato Univ., Salamanca
  • Volume
    9
  • Issue
    7
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    774
  • Lastpage
    781
  • Abstract
    This paper addresses a probabilistic analysis of drift errors in passive remote wireless surface acoustic wave (SAW) sensing with multiple differential phase measurement (DPM). The rigorous probability density of the differential phase difference (DPD) is derived and its particular functions, all having no closed forms, are given for different signal-to-noise ratios (SNRs) in the received radio frequency (RF) pulses. Employing the von Mises/Tikhonov distribution, an efficient approximation is found via the modified Bessel functions of the first kind and zeroth order. Engineering features and small errors of the approximation are demonstrated. An analysis is given of the phase difference drift rate and error probability for the drift rate to exceed a threshold.
  • Keywords
    Bessel functions; approximation theory; error statistics; phase measurement; surface acoustic wave sensors; wireless sensor networks; Bessel function; approximation method; differential phase difference; differential phase measurement; drift error; error probability; multiple DPM; passive remote wireless saw sensing; probabilistic analysis; received radio frequency pulse; surface acoustic wave; von Mises-Tikhonov distribution; Acoustic measurements; Acoustic waves; Error analysis; Error probability; Phase measurement; Radio frequency; Signal to noise ratio; Surface acoustic waves; Velocity measurement; Wireless sensor networks; Differential phase difference; drift errors; error probability; passive wireless surface acoustic wave (SAW) sensing;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2009.2021788
  • Filename
    5037978