Title :
Digital non-parametric characterization method for MEMS resonant sensor
Author :
Ghassemi, Farbod ; Amendola, Gilles ; Blanchard, Yves ; Alquié, Georges ; Sou, Gérard
Author_Institution :
ELMI Lab., Paris
fDate :
Oct. 30 2005-Nov. 3 2005
Abstract :
This paper reports a new digital circuit architecture to identify the resonant frequencies of a micro-resonant sensor. A generic and configurable model of micro-resonant sensors has been used to evaluate the efficiency of combining a pseudorandom excitation with a non-parametric harmonic retrieval algorithm all within a digital characterization circuit. Estimation of the resonant frequencies is based on the eigenanalysis of the autocorrelation matrix of the sensor´s output. An original discrimination scheme compensate for the over-estimation on the number of harmonics. Results indicate that this architecture can spectrally identify resonant sensors with up to 4 mechanical resonant modes with an accuracy of a 100ppm on the frequency estimation. Implementation of this characterization circuit would allow micro-resonant sensor identification, calibration and default compensation
Keywords :
digital circuits; eigenvalues and eigenfunctions; frequency estimation; microsensors; MEMS resonant sensor; autocorrelation matrix; digital characterization circuit; digital circuit architecture; digital resonant sensor interface; eigenanalysis; frequency estimation; mechanical resonant modes; microresonant sensor; nonparametric harmonic retrieval algorithm; pseudorandom excitation; resonant frequencies; Circuit noise; Electromechanical sensors; Electronic circuits; Frequency estimation; Mechanical sensors; Micromechanical devices; Q factor; Resonance; Resonant frequency; Sensor phenomena and characterization;
Conference_Titel :
Sensors, 2005 IEEE
Conference_Location :
Irvine, CA
Print_ISBN :
0-7803-9056-3
DOI :
10.1109/ICSENS.2005.1597798