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
fDate :
7/1/2009 12:00:00 AM
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;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2009.2021788
